Best Software for 2025 is now live!
|| products.size

Best Data Observability Software

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data observability involves the complete monitoring, managing, and understanding of the modern data tech stack. These tools allow companies to better manage their data by helping them discover and solve real-time data issues and gain complete insight into the system’s data health. Data observability tools help companies accelerate the adoption of data across departments. This helps in making strategic and data-driven decisions that benefit the entire organization.

The concept of data observability stems from best practices learned from DevOps software to manage impartial, inaccurate, or erroneous data. These best practices, which include optimizing logs, real-time insights, and so on, enable the creation of error-free and trusted data across the entire data stack, which includes data sources, data warehouses, ETL tools, ML/BI tools, etc.

Data observability tools are a part of DataOps platforms. DataOps platforms assemble several types of data management software into an individual, integrated environment. The platform unifies all the development and operations in data workflows. Data observability software focuses on monitoring the health of the data pipelines and the overall system.

Data observability tools differ from monitoring software since the latter focuses on pre-determined metrics to identify bugs, whereas data observability focuses on real-time detection and resolution. Data observability also differs from data quality software, wherein the former focuses on reducing the number of data incidents while accelerating resolution time. Data quality is the result of powerful data observability across the modern data stack.

To qualify for inclusion in the Data Observability category, a product must:

Proactively monitor, alert, track, log, compare, and analyze data for any errors or issues across the entire data stack
Monitor data at rest and data in motion, and does not require data extraction from current storage location
Connect to an existing stack without any need to write code or modify data pipelines

Best Data Observability Software At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
Show LessShow More
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

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.

No filters applied
54 Listings in Data Observability Available
(356)4.4 out of 5
4th Easiest To Use in Data Observability 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.

    As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Enterprise
  • 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
    150
    Monitoring
    121
    Alerts
    104
    Customer Support
    85
    Alerting System
    79
    Cons
    Alert Overload
    59
    Poor User Interface
    55
    Alert Management
    54
    Inefficient Alert System
    53
    Missing Features
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    8.8
    Anomaly identification
    Average: 8.7
    8.2
    Automation
    Average: 8.5
    8.2
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    400 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Enterprise
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
150
Monitoring
121
Alerts
104
Customer Support
85
Alerting System
79
Cons
Alert Overload
59
Poor User Interface
55
Alert Management
54
Inefficient Alert System
53
Missing Features
39
Monte Carlo features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
8.8
Anomaly identification
Average: 8.7
8.2
Automation
Average: 8.5
8.2
Integrations
Average: 8.7
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,555 Twitter followers
LinkedIn® Page
www.linkedin.com
400 employees on LinkedIn®
(110)4.8 out of 5
Optimized for quick response
1st Easiest To Use in Data Observability 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.

    Metaplane is the end-to-end data observability tool that helps data teams know when things break, what went wrong, and how to fix it. Built for the modern data stack, we empower data teams to start mo

    Users
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 66% Mid-Market
    • 21% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Metaplane 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
    Customer Support
    25
    Easy Setup
    24
    Setup Ease
    24
    Monitoring
    23
    Cons
    Noisy Alerts
    12
    Alert Management
    10
    Inefficient Alert System
    10
    Noise Issues
    7
    Lineage Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Metaplane features and usability ratings that predict user satisfaction
    9.3
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    9.1
    Automation
    Average: 8.5
    9.0
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Metaplane
    Company Website
    Year Founded
    2019
    HQ Location
    Boston, US
    Twitter
    @kevinzenghu
    2,120 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Metaplane is the end-to-end data observability tool that helps data teams know when things break, what went wrong, and how to fix it. Built for the modern data stack, we empower data teams to start mo

Users
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 66% Mid-Market
  • 21% Small-Business
Metaplane 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
Customer Support
25
Easy Setup
24
Setup Ease
24
Monitoring
23
Cons
Noisy Alerts
12
Alert Management
10
Inefficient Alert System
10
Noise Issues
7
Lineage Issues
6
Metaplane features and usability ratings that predict user satisfaction
9.3
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
9.1
Automation
Average: 8.5
9.0
Integrations
Average: 8.7
Seller Details
Seller
Metaplane
Company Website
Year Founded
2019
HQ Location
Boston, US
Twitter
@kevinzenghu
2,120 Twitter followers
LinkedIn® Page
www.linkedin.com
34 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
(38)4.5 out of 5
Optimized for quick response
8th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Acceldata provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

    Users
    No information available
    Industries
    • Computer Software
    • Telecommunications
    Market Segment
    • 66% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Acceldata 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
    Customer Support
    12
    Ease of Use
    12
    Features
    9
    Efficiency Improvement
    8
    Monitoring
    8
    Cons
    Poor User Interface
    7
    Poor UI
    5
    Poor Customer Support
    4
    Complex Usability
    3
    Limited Functionality
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.0
    Automation
    Average: 8.5
    7.9
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acceldata
    Company Website
    Year Founded
    2018
    HQ Location
    Campbell, CA
    Twitter
    @acceldataio
    331 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    263 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Acceldata provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

Users
No information available
Industries
  • Computer Software
  • Telecommunications
Market Segment
  • 66% Enterprise
  • 24% Mid-Market
Acceldata 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
Customer Support
12
Ease of Use
12
Features
9
Efficiency Improvement
8
Monitoring
8
Cons
Poor User Interface
7
Poor UI
5
Poor Customer Support
4
Complex Usability
3
Limited Functionality
3
Acceldata features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.0
Automation
Average: 8.5
7.9
Integrations
Average: 8.7
Seller Details
Seller
Acceldata
Company Website
Year Founded
2018
HQ Location
Campbell, CA
Twitter
@acceldataio
331 Twitter followers
LinkedIn® Page
www.linkedin.com
263 employees on LinkedIn®
(14)4.9 out of 5
2nd Easiest To Use in Data Observability 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.

    SquaredUp is a unified observability portal. Say goodbye to blind spots and data silos. Using data mesh and cutting-edge data visualization, SquaredUp gives IT and engineering teams one place to see

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SquaredUp 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
    4
    Data Visualization
    3
    Customization Options
    2
    Dashboard Usability
    2
    Data Analytics
    2
    Cons
    Feature Issues
    1
    Feature Limitations
    1
    Inefficient Alert System
    1
    Maintenance Issues
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SquaredUp features and usability ratings that predict user satisfaction
    9.6
    Ease of Admin
    Average: 8.7
    10.0
    Anomaly identification
    Average: 8.7
    10.0
    Automation
    Average: 8.5
    10.0
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SquaredUp
    Year Founded
    2011
    HQ Location
    Maidenhead, GB
    Twitter
    @squared_up
    1,189 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.

SquaredUp is a unified observability portal. Say goodbye to blind spots and data silos. Using data mesh and cutting-edge data visualization, SquaredUp gives IT and engineering teams one place to see

Users
No information available
Industries
No information available
Market Segment
  • 64% Enterprise
  • 29% Mid-Market
SquaredUp 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
4
Data Visualization
3
Customization Options
2
Dashboard Usability
2
Data Analytics
2
Cons
Feature Issues
1
Feature Limitations
1
Inefficient Alert System
1
Maintenance Issues
1
Missing Features
1
SquaredUp features and usability ratings that predict user satisfaction
9.6
Ease of Admin
Average: 8.7
10.0
Anomaly identification
Average: 8.7
10.0
Automation
Average: 8.5
10.0
Integrations
Average: 8.7
Seller Details
Seller
SquaredUp
Year Founded
2011
HQ Location
Maidenhead, GB
Twitter
@squared_up
1,189 Twitter followers
LinkedIn® Page
www.linkedin.com
92 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Decube is the all-in-one Data Trust Platform designed for the modern data stack. Our mission is to make your data reliable, easily discoverable, and constantly monitored across your entire organizatio

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • decube 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
    User Interface
    7
    User Experience
    5
    UX Design
    5
    Data Cataloging
    4
    Ease of Use
    4
    Cons
    Limited Functionality
    2
    Missing Features
    2
    Monitoring Issues
    2
    API Limitations
    1
    Connector Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • decube features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    9.0
    Anomaly identification
    Average: 8.7
    8.7
    Automation
    Average: 8.5
    8.9
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2022
    HQ Location
    Kuala Lumpur
    Twitter
    @decube_data
    114 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Decube is the all-in-one Data Trust Platform designed for the modern data stack. Our mission is to make your data reliable, easily discoverable, and constantly monitored across your entire organizatio

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
decube 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
User Interface
7
User Experience
5
UX Design
5
Data Cataloging
4
Ease of Use
4
Cons
Limited Functionality
2
Missing Features
2
Monitoring Issues
2
API Limitations
1
Connector Issues
1
decube features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
9.0
Anomaly identification
Average: 8.7
8.7
Automation
Average: 8.5
8.9
Integrations
Average: 8.7
Seller Details
Company Website
Year Founded
2022
HQ Location
Kuala Lumpur
Twitter
@decube_data
114 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
By SYNQ
(29)4.7 out of 5
3rd Easiest To Use in Data Observability software
Save to My Lists
Entry Level Price:$1,250.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SYNQ is the New Standard in Data Observability. SYNQ goes beyond traditional data observability to deliver a Data Product Observability Workflow that ensures your data is accurate, actionable, and

    Users
    • Analytics Engineer
    Industries
    • Computer Software
    • Leisure, Travel & Tourism
    Market Segment
    • 93% Mid-Market
    • 3% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SYNQ 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
    Customer Support
    17
    Data Lineage
    17
    Alerting System
    9
    Efficiency Improvement
    9
    Integration Support
    9
    Cons
    Poor User Interface
    7
    Data Management
    2
    Complex Setup
    1
    Frequent Updates
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SYNQ features and usability ratings that predict user satisfaction
    9.7
    Ease of Admin
    Average: 8.7
    9.0
    Anomaly identification
    Average: 8.7
    9.2
    Automation
    Average: 8.5
    9.2
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SYNQ
    Company Website
    Year Founded
    2022
    HQ Location
    London, GB
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SYNQ is the New Standard in Data Observability. SYNQ goes beyond traditional data observability to deliver a Data Product Observability Workflow that ensures your data is accurate, actionable, and

Users
  • Analytics Engineer
Industries
  • Computer Software
  • Leisure, Travel & Tourism
Market Segment
  • 93% Mid-Market
  • 3% Enterprise
SYNQ 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
Customer Support
17
Data Lineage
17
Alerting System
9
Efficiency Improvement
9
Integration Support
9
Cons
Poor User Interface
7
Data Management
2
Complex Setup
1
Frequent Updates
1
Integration Issues
1
SYNQ features and usability ratings that predict user satisfaction
9.7
Ease of Admin
Average: 8.7
9.0
Anomaly identification
Average: 8.7
9.2
Automation
Average: 8.5
9.2
Integrations
Average: 8.7
Seller Details
Seller
SYNQ
Company Website
Year Founded
2022
HQ Location
London, GB
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
(34)4.4 out of 5
Optimized for quick response
6th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Unravel Data is an AI-powered data observability and FinOps platform that goes beyond just observing problems to empowering data teams to take immediate action for transformative results. Built to add

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 79% Enterprise
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Unravel 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
    Customer Support
    8
    Insights
    7
    Features
    6
    Ease of Use
    5
    Efficiency Improvement
    5
    Cons
    Complexity
    1
    Confusing Details
    1
    Data Inaccuracy
    1
    Difficult Learning
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Unravel Data features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.2
    Automation
    Average: 8.5
    8.1
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Mountain View, CA
    Twitter
    @unraveldata
    1,044 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    115 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Unravel Data is an AI-powered data observability and FinOps platform that goes beyond just observing problems to empowering data teams to take immediate action for transformative results. Built to add

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 79% Enterprise
  • 18% Small-Business
Unravel 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
Customer Support
8
Insights
7
Features
6
Ease of Use
5
Efficiency Improvement
5
Cons
Complexity
1
Confusing Details
1
Data Inaccuracy
1
Difficult Learning
1
Expensive
1
Unravel Data features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.2
Automation
Average: 8.5
8.1
Integrations
Average: 8.7
Seller Details
Company Website
Year Founded
2016
HQ Location
Mountain View, CA
Twitter
@unraveldata
1,044 Twitter followers
LinkedIn® Page
www.linkedin.com
115 employees on LinkedIn®
(14)5.0 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Validio provides an automated data observability and quality platform to help you increase data team productivity by automating the work around data quality, act quicker on changes in KPIs with automa

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Mid-Market
    • 14% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Validio 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
    10
    Easy Setup
    10
    Efficiency Improvement
    9
    Setup Ease
    9
    Anomaly Detection
    7
    Cons
    Complex Setup
    2
    Limited Customization
    2
    Poor Documentation
    2
    Poor User Interface
    2
    User Interface Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Validio features and usability ratings that predict user satisfaction
    10.0
    Ease of Admin
    Average: 8.7
    10.0
    Anomaly identification
    Average: 8.7
    9.4
    Automation
    Average: 8.5
    9.6
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Validio
    Company Website
    Year Founded
    2019
    HQ Location
    Stockholm, SE
    Twitter
    @Validio_Data
    64 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Validio provides an automated data observability and quality platform to help you increase data team productivity by automating the work around data quality, act quicker on changes in KPIs with automa

Users
No information available
Industries
No information available
Market Segment
  • 71% Mid-Market
  • 14% Enterprise
Validio 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
10
Easy Setup
10
Efficiency Improvement
9
Setup Ease
9
Anomaly Detection
7
Cons
Complex Setup
2
Limited Customization
2
Poor Documentation
2
Poor User Interface
2
User Interface Issues
2
Validio features and usability ratings that predict user satisfaction
10.0
Ease of Admin
Average: 8.7
10.0
Anomaly identification
Average: 8.7
9.4
Automation
Average: 8.5
9.6
Integrations
Average: 8.7
Seller Details
Seller
Validio
Company Website
Year Founded
2019
HQ Location
Stockholm, SE
Twitter
@Validio_Data
64 Twitter followers
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
By IBM
(67)4.4 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Starting at $450.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

    Users
    • Software Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Databand 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
    Data Quality
    14
    Efficiency Improvement
    11
    Ease of Use
    8
    Monitoring
    8
    Alerting System
    7
    Cons
    Learning Difficulty
    9
    Complexity
    5
    Expensive
    5
    Learning Curve
    4
    Limited Features
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Databand features and usability ratings that predict user satisfaction
    8.0
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.2
    Automation
    Average: 8.5
    8.6
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

Users
  • Software Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Mid-Market
  • 33% Enterprise
IBM Databand 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
Data Quality
14
Efficiency Improvement
11
Ease of Use
8
Monitoring
8
Alerting System
7
Cons
Learning Difficulty
9
Complexity
5
Expensive
5
Learning Curve
4
Limited Features
4
IBM Databand features and usability ratings that predict user satisfaction
8.0
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.2
Automation
Average: 8.5
8.6
Integrations
Average: 8.7
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
(34)4.4 out of 5
Optimized for quick response
10th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 62% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Sifflet 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
    Data Quality
    9
    Ease of Use
    7
    Customer Support
    6
    Data Lineage
    6
    Efficiency Improvement
    6
    Cons
    Lineage Issues
    4
    Limited Integration
    3
    Access Control
    2
    Alert Management
    2
    Complex Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sifflet features and usability ratings that predict user satisfaction
    8.3
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.7
    8.2
    Automation
    Average: 8.5
    7.5
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Sifflet
    Company Website
    Year Founded
    2021
    HQ Location
    Paris, Ile-de-France
    Twitter
    @Siffletdata
    389 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

Users
No information available
Industries
  • Computer Software
Market Segment
  • 62% Mid-Market
  • 29% Enterprise
Sifflet 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
Data Quality
9
Ease of Use
7
Customer Support
6
Data Lineage
6
Efficiency Improvement
6
Cons
Lineage Issues
4
Limited Integration
3
Access Control
2
Alert Management
2
Complex Setup
2
Sifflet features and usability ratings that predict user satisfaction
8.3
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.7
8.2
Automation
Average: 8.5
7.5
Integrations
Average: 8.7
Seller Details
Seller
Sifflet
Company Website
Year Founded
2021
HQ Location
Paris, Ile-de-France
Twitter
@Siffletdata
389 Twitter followers
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®
By Soda
(55)4.4 out of 5
9th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Soda 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
    Data Quality
    17
    Ease of Use
    16
    Easy Integrations
    8
    Features
    6
    Quality Checks
    6
    Cons
    Learning Difficulty
    5
    Limited Functionality
    5
    Data Management Issues
    3
    Dependency Issues
    3
    Integration Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Soda features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.5
    8.5
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Soda
    Company Website
    Year Founded
    2018
    HQ Location
    Brussels, BE
    Twitter
    @sodadata
    878 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    117 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Mid-Market
  • 40% Enterprise
Soda 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
Data Quality
17
Ease of Use
16
Easy Integrations
8
Features
6
Quality Checks
6
Cons
Learning Difficulty
5
Limited Functionality
5
Data Management Issues
3
Dependency Issues
3
Integration Issues
3
Soda features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.5
8.5
Integrations
Average: 8.7
Seller Details
Seller
Soda
Company Website
Year Founded
2018
HQ Location
Brussels, BE
Twitter
@sodadata
878 Twitter followers
LinkedIn® Page
www.linkedin.com
117 employees on LinkedIn®
(15)4.7 out of 5
Optimized for quick response
7th Easiest To Use in Data Observability 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.

    Pantomath is a data pipeline observability and traceability platform designed to automate data operations across an enterprise's data ecosystem. This innovative solution continuously monitors datasets

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 73% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Pantomath 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
    Customer Support
    8
    Data Lineage
    8
    Monitoring
    6
    Efficiency Improvement
    5
    Alerting System
    4
    Cons
    Alert Management
    8
    Noise Issues
    2
    Poor Documentation
    2
    Complex Setup
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Pantomath features and usability ratings that predict user satisfaction
    8.3
    Ease of Admin
    Average: 8.7
    8.5
    Anomaly identification
    Average: 8.7
    8.5
    Automation
    Average: 8.5
    8.6
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2022
    HQ Location
    Cincinnati
    LinkedIn® Page
    www.linkedin.com
    43 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pantomath is a data pipeline observability and traceability platform designed to automate data operations across an enterprise's data ecosystem. This innovative solution continuously monitors datasets

Users
No information available
Industries
  • Financial Services
Market Segment
  • 73% Enterprise
  • 27% Mid-Market
Pantomath 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
Customer Support
8
Data Lineage
8
Monitoring
6
Efficiency Improvement
5
Alerting System
4
Cons
Alert Management
8
Noise Issues
2
Poor Documentation
2
Complex Setup
1
Learning Difficulty
1
Pantomath features and usability ratings that predict user satisfaction
8.3
Ease of Admin
Average: 8.7
8.5
Anomaly identification
Average: 8.7
8.5
Automation
Average: 8.5
8.6
Integrations
Average: 8.7
Seller Details
Company Website
Year Founded
2022
HQ Location
Cincinnati
LinkedIn® Page
www.linkedin.com
43 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Mid-Market
    • 24% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elementary 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
    8
    Insights
    6
    Setup Ease
    6
    Slack Integration
    6
    Alerting System
    5
    Cons
    Integration Issues
    4
    Limited Features
    3
    API Limitations
    2
    Database Integration Issues
    2
    Limited Integration
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elementary Data features and usability ratings that predict user satisfaction
    8.9
    Ease of Admin
    Average: 8.7
    8.9
    Anomaly identification
    Average: 8.7
    8.6
    Automation
    Average: 8.5
    7.8
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @ElementaryData
    412 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

Users
No information available
Industries
No information available
Market Segment
  • 53% Mid-Market
  • 24% Enterprise
Elementary 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
8
Insights
6
Setup Ease
6
Slack Integration
6
Alerting System
5
Cons
Integration Issues
4
Limited Features
3
API Limitations
2
Database Integration Issues
2
Limited Integration
2
Elementary Data features and usability ratings that predict user satisfaction
8.9
Ease of Admin
Average: 8.7
8.9
Anomaly identification
Average: 8.7
8.6
Automation
Average: 8.5
7.8
Integrations
Average: 8.7
Seller Details
HQ Location
N/A
Twitter
@ElementaryData
412 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully ma

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Great Expectations 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
    3
    Data Quality
    2
    Analytics
    1
    Automated Testing
    1
    Big Data Management
    1
    Cons
    Technical Expertise Required
    3
    Training Required
    3
    Complex Setup
    2
    Difficult Setup
    2
    Limited Functionality
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Great Expectations features and usability ratings that predict user satisfaction
    8.3
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.8
    Automation
    Average: 8.5
    8.6
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Remote, US
    Twitter
    @expectgreatdata
    3,648 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    72 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully ma

Users
No information available
Industries
No information available
Market Segment
  • 45% Mid-Market
  • 36% Small-Business
Great Expectations 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
3
Data Quality
2
Analytics
1
Automated Testing
1
Big Data Management
1
Cons
Technical Expertise Required
3
Training Required
3
Complex Setup
2
Difficult Setup
2
Limited Functionality
2
Great Expectations features and usability ratings that predict user satisfaction
8.3
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.8
Automation
Average: 8.5
8.6
Integrations
Average: 8.7
Seller Details
Year Founded
2017
HQ Location
Remote, US
Twitter
@expectgreatdata
3,648 Twitter followers
LinkedIn® Page
www.linkedin.com
72 employees on LinkedIn®
(17)4.9 out of 5
5th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Telmai 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
    Anomaly Detection
    2
    Ease of Use
    2
    Machine Learning
    2
    Automation
    1
    Connectivity
    1
    Cons
    Difficult Learning Curve
    1
    Learning Difficulty
    1
    Limited Functionality
    1
    Poor User Experience
    1
    Poor User Interface
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Telmai features and usability ratings that predict user satisfaction
    8.9
    Ease of Admin
    Average: 8.7
    9.0
    Anomaly identification
    Average: 8.7
    9.0
    Automation
    Average: 8.5
    9.1
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Telmai
    Year Founded
    2020
    HQ Location
    San Mateo , Ca
    Twitter
    @telmai1
    93 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.

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Enterprise
  • 41% Mid-Market
Telmai 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
Anomaly Detection
2
Ease of Use
2
Machine Learning
2
Automation
1
Connectivity
1
Cons
Difficult Learning Curve
1
Learning Difficulty
1
Limited Functionality
1
Poor User Experience
1
Poor User Interface
1
Telmai features and usability ratings that predict user satisfaction
8.9
Ease of Admin
Average: 8.7
9.0
Anomaly identification
Average: 8.7
9.0
Automation
Average: 8.5
9.1
Integrations
Average: 8.7
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
93 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®