[go: up one dir, main page]

Introducing G2.ai, the future of software buying.Try now

Best Big Data Analytics Software with Spark Integration Capabilities

Benefits of Big Data Analytics Software with Spark Integration capabilities include: Aligns processing and distribution workflows on top of Apache Spark
Below are the top-rated Big Data Analytics Software with Spark Integration capabilities, as verified by G2’s Research team. Real users have identified Spark Integration as an important function of Big Data Analytics Software. Compare different products that offer this feature so you can decide which is best for your business needs.
Show More
Show Less

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.

1 filter applied
Clear All
10 Listings in Big Data Analytics Available
(223)4.5 out of 5
9th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Databricks 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
    6
    Features
    5
    Interface Ease-of-Use
    3
    ML Modeling
    3
    Analytics
    2
    Cons
    Expensive
    3
    Unclear Pricing
    2
    Cloud Dependency
    1
    Cluster Management
    1
    Complex Usability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.5
    8.8
    Real-Time Analytics
    Average: 8.5
    8.6
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,963,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    232,306 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 26% Small-Business
Azure Databricks 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
6
Features
5
Interface Ease-of-Use
3
ML Modeling
3
Analytics
2
Cons
Expensive
3
Unclear Pricing
2
Cloud Dependency
1
Cluster Management
1
Complex Usability
1
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.5
8.8
Real-Time Analytics
Average: 8.5
8.6
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,963,646 Twitter followers
LinkedIn® Page
www.linkedin.com
232,306 employees on LinkedIn®
Ownership
MSFT
(667)4.6 out of 5
Optimized for quick response
5th Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 62% Enterprise
    • 22% 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.
    • Alteryx is a platform that aids in data preparation, analysis, and blending without requiring advanced technical skills.
    • Reviewers frequently mention the ease of use, the ability to handle complex data tasks with a drag-and-drop interface, and the wide range of connectors and pre-built tools that save time and simplify data cleaning and advanced analytics.
    • Reviewers noted the high licensing cost, the steep learning curve for beginners, and performance issues when working with very large datasets or complex workflows.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx 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
    135
    Automation
    51
    Intuitive
    48
    Ease of Learning
    40
    Easy Learning
    40
    Cons
    Learning Curve
    38
    Expensive
    33
    Learning Difficulty
    24
    Complexity
    17
    Missing Features
    16
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Multi-Source Analysis
    Average: 8.5
    8.4
    Real-Time Analytics
    Average: 8.5
    9.1
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,477 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,295 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 62% Enterprise
  • 22% 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.
  • Alteryx is a platform that aids in data preparation, analysis, and blending without requiring advanced technical skills.
  • Reviewers frequently mention the ease of use, the ability to handle complex data tasks with a drag-and-drop interface, and the wide range of connectors and pre-built tools that save time and simplify data cleaning and advanced analytics.
  • Reviewers noted the high licensing cost, the steep learning curve for beginners, and performance issues when working with very large datasets or complex workflows.
Alteryx 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
135
Automation
51
Intuitive
48
Ease of Learning
40
Easy Learning
40
Cons
Learning Curve
38
Expensive
33
Learning Difficulty
24
Complexity
17
Missing Features
16
Alteryx features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
8.9
Multi-Source Analysis
Average: 8.5
8.4
Real-Time Analytics
Average: 8.5
9.1
Data Workflow
Average: 8.4
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,477 Twitter followers
LinkedIn® Page
www.linkedin.com
2,295 employees on LinkedIn®

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(758)4.5 out of 5
View top Consulting Services for MATLAB
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Users
    • Graduate Research Assistant
    • Student
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MATLAB 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
    Features
    9
    Simulation
    6
    Mathematical Calculations
    5
    Problem Solving
    5
    Cons
    Difficult Learning
    4
    Expensive
    4
    Learning Curve
    4
    High System Requirements
    3
    Lagging Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MATLAB features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.4
    Multi-Source Analysis
    Average: 8.5
    8.7
    Real-Time Analytics
    Average: 8.5
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    100,594 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,779 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a programming, modeling and simulation tool developed by MathWorks.

Users
  • Graduate Research Assistant
  • Student
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% Small-Business
MATLAB 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
Features
9
Simulation
6
Mathematical Calculations
5
Problem Solving
5
Cons
Difficult Learning
4
Expensive
4
Learning Curve
4
High System Requirements
3
Lagging Performance
3
MATLAB features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.4
Multi-Source Analysis
Average: 8.5
8.7
Real-Time Analytics
Average: 8.5
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,594 Twitter followers
LinkedIn® Page
www.linkedin.com
7,779 employees on LinkedIn®
(37)4.2 out of 5
View top Consulting Services for Azure Data Lake Analytics
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Lake Analytics features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.5
    8.1
    Real-Time Analytics
    Average: 8.5
    8.5
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,963,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    232,306 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Azure Data Lake Analytics features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.5
8.1
Real-Time Analytics
Average: 8.5
8.5
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,963,646 Twitter followers
LinkedIn® Page
www.linkedin.com
232,306 employees on LinkedIn®
Ownership
MSFT
(88)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cloud Pak for 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
    Features
    3
    Analytics
    2
    Data Analytics
    2
    Data Management
    2
    Insights
    2
    Cons
    Complexity
    3
    Complexity Issues
    3
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.5
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    714,643 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    328,966 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 28% Small-Business
IBM Cloud Pak for 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
Features
3
Analytics
2
Data Analytics
2
Data Management
2
Insights
2
Cons
Complexity
3
Complexity Issues
3
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.1
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.5
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
714,643 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®
Ownership
SWX:IBM
(112)4.4 out of 5
12th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent 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
    Documentation
    1
    Easy Learning
    1
    Learning
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.5
    8.9
    Real-Time Analytics
    Average: 8.5
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,465 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,644 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 35% Small-Business
Confluent 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
Documentation
1
Easy Learning
1
Learning
1
Cons
This product has not yet received any negative sentiments.
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.5
8.9
Real-Time Analytics
Average: 8.5
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,465 Twitter followers
LinkedIn® Page
www.linkedin.com
3,644 employees on LinkedIn®
Ownership
NASDAQ: CFLT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Multi-Source Analysis
    Average: 8.5
    7.0
    Real-Time Analytics
    Average: 8.5
    8.0
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    107,628 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,270 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 24% Mid-Market
Cloudera features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
8.5
Multi-Source Analysis
Average: 8.5
7.0
Real-Time Analytics
Average: 8.5
8.0
Data Workflow
Average: 8.4
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
107,628 Twitter followers
LinkedIn® Page
www.linkedin.com
3,270 employees on LinkedIn®
Phone
888-789-1488
(259)4.0 out of 5
13th Easiest To Use in Big Data Analytics software
Save to My Lists
Entry Level Price:30 day free trial
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 44% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qubole features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.5
    8.0
    Real-Time Analytics
    Average: 8.5
    7.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,560 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.5
8.0
Real-Time Analytics
Average: 8.5
7.8
Data Workflow
Average: 8.4
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,560 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

    Users
    No information available
    Industries
    • Computer Software
    • Internet
    Market Segment
    • 62% Enterprise
    • 19% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Pig features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    7.8
    Multi-Source Analysis
    Average: 8.5
    8.3
    Real-Time Analytics
    Average: 8.5
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,351 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

Users
No information available
Industries
  • Computer Software
  • Internet
Market Segment
  • 62% Enterprise
  • 19% Mid-Market
Apache Pig features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
7.8
Multi-Source Analysis
Average: 8.5
8.3
Real-Time Analytics
Average: 8.5
7.9
Data Workflow
Average: 8.4
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,146 Twitter followers
LinkedIn® Page
www.linkedin.com
2,351 employees on LinkedIn®
(15)3.6 out of 5
14th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

    Users
    No information available
    Industries
    • Banking
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Arcadia Enterprise features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.5
    6.1
    Real-Time Analytics
    Average: 8.5
    6.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @arcadiadata
    1,113 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

Users
No information available
Industries
  • Banking
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Arcadia Enterprise features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.5
6.1
Real-Time Analytics
Average: 8.5
6.7
Data Workflow
Average: 8.4
Seller Details
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@arcadiadata
1,113 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®