Introducing G2.ai, the future of software buying.Try now
Compare Metaplane and Sifflet 
Featured Products
Sponsored
Delpha
(12)
Data Quality
Visit Website
Sponsored
DataGroomr
(29)
Data Quality
Visit Website
Sponsored
DBmarlin
(17)
Data Quality
Visit Website
At a Glance
Market Segments
Mid-Market (64.6% of reviews)
Mid-Market (63.6% of reviews)
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Contact Us 1001 Tables Per Year
Metaplane
Star Rating
(113)4.8 out of 5
Market Segments
Mid-Market (64.6% of reviews)
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Free Trial is available
Browse all 3 pricing plansSifflet
Star Rating
(66)4.7 out of 5
Market Segments
Mid-Market (63.6% of reviews)
Entry-Level Pricing
Contact Us 1001 Tables Per Year
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Metaplane excels in data quality monitoring with a score of 9.5, while Sifflet, although competent, scores lower at 8.8. Reviewers mention that Metaplane's ability to catch data anomalies in real-time significantly enhances their data integrity.
- Reviewers say that Metaplane's real-time alerts feature, rated at 9.4, is highly effective, providing timely notifications that help teams respond quickly to issues. In contrast, Sifflet's alerts, rated at 8.6, are seen as less responsive, with users noting occasional delays in notifications.
- Users on G2 highlight Metaplane's superior ease of setup with a score of 9.5, making it a preferred choice for teams looking to implement quickly. Sifflet, with a score of 8.3, has been described by reviewers as requiring more time and effort to configure properly.
- G2 users mention that Metaplane's anomaly identification feature, rated at 9.2, is particularly robust, allowing for proactive data management. Sifflet's score of 8.6 indicates it is effective but lacks some of the advanced capabilities that Metaplane offers.
- Reviewers mention that Metaplane provides a more comprehensive single pane view of data, scoring 8.9, which helps users visualize their data landscape effectively. Sifflet's score of 8.0 suggests that while it offers similar functionality, it may not be as intuitive or user-friendly.
- Users report that Metaplane's automation capabilities, rated at 9.1, streamline workflows significantly, allowing teams to focus on analysis rather than manual tasks. Sifflet, with a score of 8.2, is seen as less automated, which can lead to increased manual intervention and potential errors.
Pricing
Entry-Level Pricing
Metaplane
Free
Free
10 Monitored Tables Per Month
Getting started for individuals and new data teams.
- 10 monitored tables
- 4 users
- Column-level lineage across entire data stack
Sifflet
Enterprise
Contact Us
1001 Tables Per Year
Great for large, regulated or complex organizations
- Core Data Observability & Catalog (Fundamental metrics: freshness, schema, volume, custom metrics...)
- Business-Aware Lineage & Impact Analysis
- Automated Root-Cause Analysis
Free Trial
Metaplane
Free Trial is available
Sifflet
Free Trial is available
Ratings
Meets Requirements
9.2
101
9.2
64
Ease of Use
9.3
104
9.2
64
Ease of Setup
9.5
70
9.3
53
Ease of Admin
9.3
56
9.5
35
Quality of Support
9.9
99
9.3
57
Has the product been a good partner in doing business?
9.9
56
9.4
35
Product Direction (% positive)
10.0
99
9.3
64
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.6
83
Not enough data
9.5
83
Not enough data
8.4
75
Not enough data
9.5
80
Not enough data
8.7
73
Not enough data
8.7
74
Not enough data
Agentic AI - Database Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
8.4
73
9.0
57
9.5
84
9.2
62
9.1
77
8.8
61
9.2
81
8.9
62
Management
9.2
84
9.1
61
8.9
74
8.8
60
9.4
81
9.1
58
9.1
79
9.0
60
9.0
82
8.7
60
Generative AI
6.9
32
8.5
47
Agentic AI - Data Observability
Not enough data
9.3
30
Not enough data
9.3
30
Not enough data
9.6
30
Not enough data
9.7
30
Not enough data
9.5
30
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Metaplane and Sifflet are categorized as Database Monitoring and Data Observability
Unique Categories
Metaplane has no unique categories
Sifflet is categorized as Data Quality, Master Data Management (MDM), Machine Learning Data Catalog, and DataOps Platforms
Reviews
Reviewers' Company Size
Metaplane
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sifflet
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
25.7%
Information Technology and Services
19.5%
Food & Beverages
7.1%
Financial Services
7.1%
Marketing and Advertising
5.3%
Other
35.4%
Information Technology and Services
31.8%
Financial Services
15.2%
Computer Software
12.1%
Retail
6.1%
Restaurants
3.0%
Other
31.8%
Most Helpful Reviews
Metaplane
Most Helpful Favorable Review
Adam S.
Verified User in Food & Beverages
Metaplane makes it very easy to be identified when there are issues with your data environment. It uses AI to learn what patterns are typical for your data so that it can notify you of discrepancies without you having to set thresholds for every test.
Most Helpful Critical Review
Verified User in Computer Software
Minor complaint that I know the Metaplane team is actively working on: the UI. UI iterations have been frequent as Metaplane continues to deploy new features and experiments with the best way to surface and/or visualize its insights. With time, this should...
Sifflet
Most Helpful Favorable Review
Verified User in Broadcast Media
The way that you can easily visualise the whole data pipeline and explain where metrics come from easily
Most Helpful Critical Review
Adam S.
Verified User in Food & Beverages
Metaplane makes it very easy to be identified when there are issues with your data environment. It uses AI to learn what patterns are typical for your data so that it can notify you of discrepancies without you having to set thresholds for every test.
Verified User in Broadcast Media
The way that you can easily visualise the whole data pipeline and explain where metrics come from easily
Verified User in Computer Software
Minor complaint that I know the Metaplane team is actively working on: the UI. UI iterations have been frequent as Metaplane continues to deploy new features and experiments with the best way to surface and/or visualize its insights. With time, this should...
Alternatives
Discussions
Metaplane has no discussions with answers
Sifflet has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.