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Best DataOps Platforms for Medium-Sized Businesses

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall DataOps Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business DataOps Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business DataOps Platforms category.

In addition to qualifying for inclusion in the DataOps Platforms category, to qualify for inclusion in the Medium-Sized Business DataOps Platforms category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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13 Listings in DataOps Platforms Available
(624)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in DataOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified, AI-native environment that combines data engineering, analytics, governance, and machine learning on top of the Lakehouse architecture.
    • Users like the platform's ability to handle large datasets, its collaborative notebooks for team collaboration, and its seamless integration of data engineering, analytics, and machine learning.
    • Reviewers mentioned that the initial setup can be confusing, the platform can be expensive if not monitored carefully, and it has a steep learning curve, especially for those new to distributed computing.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    259
    Ease of Use
    249
    Integrations
    173
    Collaboration
    137
    Easy Integrations
    135
    Cons
    Learning Curve
    97
    Steep Learning Curve
    84
    Expensive
    83
    Missing Features
    62
    UX Improvement
    57
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.5
    Testing capabilities
    Average: 8.5
    8.8
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    82,277 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,070 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified, AI-native environment that combines data engineering, analytics, governance, and machine learning on top of the Lakehouse architecture.
  • Users like the platform's ability to handle large datasets, its collaborative notebooks for team collaboration, and its seamless integration of data engineering, analytics, and machine learning.
  • Reviewers mentioned that the initial setup can be confusing, the platform can be expensive if not monitored carefully, and it has a steep learning curve, especially for those new to distributed computing.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
259
Ease of Use
249
Integrations
173
Collaboration
137
Easy Integrations
135
Cons
Learning Curve
97
Steep Learning Curve
84
Expensive
83
Missing Features
62
UX Improvement
57
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.5
Testing capabilities
Average: 8.5
8.8
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
82,277 Twitter followers
LinkedIn® Page
www.linkedin.com
13,070 employees on LinkedIn®
(75)4.9 out of 5
1st Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 55% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • 5X Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    51
    Customer Support
    43
    Features
    26
    Integrations
    18
    Easy Setup
    16
    Cons
    Feature Limitations
    6
    Missing Features
    3
    Steep Learning Curve
    3
    Complex Setup
    2
    Difficult Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • 5X features and usability ratings that predict user satisfaction
    9.0
    Data Observability
    Average: 8.9
    8.9
    Testing capabilities
    Average: 8.5
    9.6
    Ease of Use
    Average: 9.1
    6.1
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    50 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    134 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into a

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 55% Mid-Market
  • 40% Small-Business
5X Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
51
Customer Support
43
Features
26
Integrations
18
Easy Setup
16
Cons
Feature Limitations
6
Missing Features
3
Steep Learning Curve
3
Complex Setup
2
Difficult Setup
2
5X features and usability ratings that predict user satisfaction
9.0
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.5
9.6
Ease of Use
Average: 9.1
6.1
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
50 Twitter followers
LinkedIn® Page
www.linkedin.com
134 employees on LinkedIn®

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(179)4.7 out of 5
7th Easiest To Use in DataOps Platforms software
View top Consulting Services for dbt
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 59% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    14
    Transformation
    8
    Easy Setup
    7
    Easy Integrations
    6
    SQL Support
    6
    Cons
    Complex Setup
    3
    Access Issues
    2
    Complexity
    2
    Complex Usability
    2
    Data Management
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.9
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dbt Labs
    Company Website
    Year Founded
    2016
    HQ Location
    Philadelphia, US
    Twitter
    @getdbt
    13,890 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    874 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 59% Mid-Market
  • 25% Small-Business
dbt Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
14
Transformation
8
Easy Setup
7
Easy Integrations
6
SQL Support
6
Cons
Complex Setup
3
Access Issues
2
Complexity
2
Complex Usability
2
Data Management
2
dbt features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
dbt Labs
Company Website
Year Founded
2016
HQ Location
Philadelphia, US
Twitter
@getdbt
13,890 Twitter followers
LinkedIn® Page
www.linkedin.com
874 employees on LinkedIn®
(437)4.4 out of 5
10th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 51% Enterprise
    • 45% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Monte Carlo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    156
    Monitoring
    139
    Alerts
    132
    Alerting System
    93
    Features
    84
    Cons
    Alert Management
    71
    Alert Overload
    70
    Inefficient Alert System
    64
    UX Improvement
    57
    Limited Features
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.1
    Data Observability
    Average: 8.9
    7.6
    Testing capabilities
    Average: 8.5
    8.2
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,595 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    550 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 51% Enterprise
  • 45% Mid-Market
Monte Carlo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
156
Monitoring
139
Alerts
132
Alerting System
93
Features
84
Cons
Alert Management
71
Alert Overload
70
Inefficient Alert System
64
UX Improvement
57
Limited Features
45
Monte Carlo features and usability ratings that predict user satisfaction
9.1
Data Observability
Average: 8.9
7.6
Testing capabilities
Average: 8.5
8.2
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,595 Twitter followers
LinkedIn® Page
www.linkedin.com
550 employees on LinkedIn®
(379)4.6 out of 5
8th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hightouch is a type of Composable Customer Data Platform (CDP) solution designed to help organizations activate their data warehouses for enhanced personalized marketing and streamlined business opera

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 63% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hightouch Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Easy Integration
    10
    Customer Support
    9
    Data Synchronization
    9
    Integrations
    9
    Cons
    Syncing Issues
    5
    Sync Issues
    5
    Expensive
    4
    Learning Curve
    4
    Slow Performance
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hightouch features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.1
    Testing capabilities
    Average: 8.5
    9.2
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hightouch
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, US
    Twitter
    @HightouchData
    2,638 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    375 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hightouch is a type of Composable Customer Data Platform (CDP) solution designed to help organizations activate their data warehouses for enhanced personalized marketing and streamlined business opera

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 63% Mid-Market
  • 25% Small-Business
Hightouch Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Easy Integration
10
Customer Support
9
Data Synchronization
9
Integrations
9
Cons
Syncing Issues
5
Sync Issues
5
Expensive
4
Learning Curve
4
Slow Performance
4
Hightouch features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.5
9.2
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Hightouch
Company Website
Year Founded
2021
HQ Location
San Francisco, US
Twitter
@HightouchData
2,638 Twitter followers
LinkedIn® Page
www.linkedin.com
375 employees on LinkedIn®
(339)4.5 out of 5
Optimized for quick response
9th Easiest To Use in DataOps Platforms software
View top Consulting Services for Census
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

    Users
    • Data Analyst
    • Analytics Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Census Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    15
    Integrations
    9
    Easy Setup
    7
    Implementation Ease
    6
    Simple
    6
    Cons
    Feature Limitations
    5
    Missing Features
    4
    Expensive
    3
    Limitations
    3
    Limited Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Census features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.6
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,622 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,667 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

Users
  • Data Analyst
  • Analytics Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Mid-Market
  • 24% Small-Business
Census Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
15
Integrations
9
Easy Setup
7
Implementation Ease
6
Simple
6
Cons
Feature Limitations
5
Missing Features
4
Expensive
3
Limitations
3
Limited Features
3
Census features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,622 Twitter followers
LinkedIn® Page
www.linkedin.com
1,667 employees on LinkedIn®
(55)4.9 out of 5
4th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:€350.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 45% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Peliqan Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    26
    Integrations
    26
    Easy Integrations
    23
    Connectivity
    22
    Connectors
    22
    Cons
    Learning Difficulty
    16
    Required Technical Skills
    10
    Feature Limitations
    9
    Learning Curve
    8
    Steep Learning Curve
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Peliqan features and usability ratings that predict user satisfaction
    9.2
    Data Observability
    Average: 8.9
    9.6
    Testing capabilities
    Average: 8.5
    9.4
    Ease of Use
    Average: 9.1
    5.2
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Peliqan
    Company Website
    Year Founded
    2022
    HQ Location
    Gent
    Twitter
    @Peliqan_io
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 45% Mid-Market
Peliqan Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
26
Integrations
26
Easy Integrations
23
Connectivity
22
Connectors
22
Cons
Learning Difficulty
16
Required Technical Skills
10
Feature Limitations
9
Learning Curve
8
Steep Learning Curve
8
Peliqan features and usability ratings that predict user satisfaction
9.2
Data Observability
Average: 8.9
9.6
Testing capabilities
Average: 8.5
9.4
Ease of Use
Average: 9.1
5.2
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Peliqan
Company Website
Year Founded
2022
HQ Location
Gent
Twitter
@Peliqan_io
8 Twitter followers
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®
(132)4.6 out of 5
13th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for dat

    Users
    • Data Analyst
    • Data Engineer
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 67% Mid-Market
    • 21% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Keboola Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    32
    Integrations
    25
    Easy Integrations
    23
    Features
    23
    Customer Support
    22
    Cons
    Learning Curve
    12
    Complexity
    10
    Expensive
    9
    Steep Learning Curve
    9
    Poor Customer Support
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Keboola features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    7.7
    Testing capabilities
    Average: 8.5
    8.6
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Keboola
    Company Website
    Year Founded
    2008
    HQ Location
    Prague
    Twitter
    @keboola
    2,015 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    133 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Keboola is the unified AI & Data orchestration platform that empowers organizations to turn data into business value faster and more securely than ever. It acts as your agentic AI co-pilot for dat

Users
  • Data Analyst
  • Data Engineer
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 67% Mid-Market
  • 21% Small-Business
Keboola Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
32
Integrations
25
Easy Integrations
23
Features
23
Customer Support
22
Cons
Learning Curve
12
Complexity
10
Expensive
9
Steep Learning Curve
9
Poor Customer Support
7
Keboola features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
7.7
Testing capabilities
Average: 8.5
8.6
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Keboola
Company Website
Year Founded
2008
HQ Location
Prague
Twitter
@keboola
2,015 Twitter followers
LinkedIn® Page
www.linkedin.com
133 employees on LinkedIn®
(134)4.5 out of 5
Optimized for quick response
6th Easiest To Use in DataOps Platforms software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Mid-Market
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Astro by Astronomer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Flexibility
    2
    Automation
    1
    Customer Support
    1
    Data Engineering
    1
    Cons
    Beginner Unfriendliness
    1
    Bugs
    1
    Dependency Issues
    1
    Difficult Learning
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astro by Astronomer features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.9
    8.0
    Testing capabilities
    Average: 8.5
    9.1
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    20,289 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,983 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Mid-Market
  • 38% Enterprise
Astro by Astronomer Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Flexibility
2
Automation
1
Customer Support
1
Data Engineering
1
Cons
Beginner Unfriendliness
1
Bugs
1
Dependency Issues
1
Difficult Learning
1
Integration Issues
1
Astro by Astronomer features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.5
9.1
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
20,289 Twitter followers
LinkedIn® Page
www.linkedin.com
4,983 employees on LinkedIn®
(118)4.5 out of 5
Optimized for quick response
14th Easiest To Use in DataOps Platforms software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 54% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    22
    Features
    16
    User Interface
    15
    Data Lineage
    14
    Customer Support
    11
    Cons
    Lacking Features
    6
    Limited Functionality
    6
    Data Lineage Issues
    5
    Integration Issues
    5
    Learning Curve
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    8.5
    Data Observability
    Average: 8.9
    7.4
    Testing capabilities
    Average: 8.5
    9.0
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,589 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    548 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 54% Mid-Market
  • 40% Enterprise
Atlan Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
22
Features
16
User Interface
15
Data Lineage
14
Customer Support
11
Cons
Lacking Features
6
Limited Functionality
6
Data Lineage Issues
5
Integration Issues
5
Learning Curve
5
Atlan features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.9
7.4
Testing capabilities
Average: 8.5
9.0
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,589 Twitter followers
LinkedIn® Page
in.linkedin.com
548 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

    Users
    No information available
    Industries
    • Computer Software
    • Insurance
    Market Segment
    • 41% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nexla Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    19
    Integrations
    13
    Automation
    11
    Data Management
    11
    Easy Integrations
    10
    Cons
    Slow Performance
    7
    Feature Limitations
    5
    Learning Curve
    5
    Slow Processing
    5
    UX Improvement
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nexla features and usability ratings that predict user satisfaction
    8.9
    Data Observability
    Average: 8.9
    8.7
    Testing capabilities
    Average: 8.5
    8.7
    Ease of Use
    Average: 9.1
    0.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nexla
    Company Website
    Year Founded
    2016
    HQ Location
    San Mateo, California
    Twitter
    @NexlaInc
    875 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    92 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nexla's AI Integration platform helps enterprises accelerate data onboarding across any connector, format, or schema, breaking silos and enabling production-grade AI with Data Products and agentic ret

Users
No information available
Industries
  • Computer Software
  • Insurance
Market Segment
  • 41% Mid-Market
  • 34% Small-Business
Nexla Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
19
Integrations
13
Automation
11
Data Management
11
Easy Integrations
10
Cons
Slow Performance
7
Feature Limitations
5
Learning Curve
5
Slow Processing
5
UX Improvement
5
Nexla features and usability ratings that predict user satisfaction
8.9
Data Observability
Average: 8.9
8.7
Testing capabilities
Average: 8.5
8.7
Ease of Use
Average: 9.1
0.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Nexla
Company Website
Year Founded
2016
HQ Location
San Mateo, California
Twitter
@NexlaInc
875 Twitter followers
LinkedIn® Page
www.linkedin.com
92 employees on LinkedIn®
(68)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 53% Small-Business
    • 47% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mozart Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Easy Integrations
    2
    Setup Ease
    2
    Connectivity
    1
    Customer Support
    1
    Cons
    Difficult Learning
    1
    Learning Curve
    1
    Learning Difficulty
    1
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    8.7
    Data Observability
    Average: 8.9
    8.0
    Testing capabilities
    Average: 8.5
    9.3
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    454 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 53% Small-Business
  • 47% Mid-Market
Mozart Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Easy Integrations
2
Setup Ease
2
Connectivity
1
Customer Support
1
Cons
Difficult Learning
1
Learning Curve
1
Learning Difficulty
1
Limitations
1
Mozart Data features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.5
9.3
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
454 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they af

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 54% Mid-Market
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datafold features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.9
    9.3
    Testing capabilities
    Average: 8.5
    8.8
    Ease of Use
    Average: 9.1
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datafold
    Year Founded
    2020
    HQ Location
    New York, US
    Twitter
    @datafoldcom
    1,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they af

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 54% Mid-Market
  • 29% Small-Business
Datafold features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
9.3
Testing capabilities
Average: 8.5
8.8
Ease of Use
Average: 9.1
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Datafold
Year Founded
2020
HQ Location
New York, US
Twitter
@datafoldcom
1,117 Twitter followers
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®