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Best Data Observability Software - Page 2

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
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Featured Data Observability Software At A Glance

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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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57 Listings in Data Observability Available
(20)4.9 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.

    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
    • 50% Enterprise
    • 35% 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
    Ease of Use
    5
    Anomaly Detection
    3
    Automation
    3
    Efficiency Improvement
    3
    Monitoring
    3
    Cons
    Learning Difficulty
    2
    Limited Functionality
    2
    UX Improvement
    2
    Difficult Learning Curve
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Telmai features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 8.7
    9.1
    Anomaly identification
    Average: 8.7
    8.9
    Automation
    Average: 8.6
    8.9
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Telmai
    Year Founded
    2020
    HQ Location
    San Mateo , Ca
    Twitter
    @telmai1
    101 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 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
  • 50% Enterprise
  • 35% 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
Ease of Use
5
Anomaly Detection
3
Automation
3
Efficiency Improvement
3
Monitoring
3
Cons
Learning Difficulty
2
Limited Functionality
2
UX Improvement
2
Difficult Learning Curve
1
Expensive
1
Telmai features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.7
9.1
Anomaly identification
Average: 8.7
8.9
Automation
Average: 8.6
8.9
Integrations
Average: 8.8
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
101 Twitter followers
LinkedIn® Page
www.linkedin.com
16 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.

    Observability, for the Cloud. Monitor everything you run in your cloud without compromising on cost, granularity, or scale.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • groundcover 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
    17
    Monitoring
    9
    User Interface
    9
    Easy Setup
    8
    Observability
    8
    Cons
    UX Improvement
    7
    Limited Features
    4
    Missing Features
    4
    Poor Customer Support
    4
    Dashboard Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • groundcover features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    8.0
    Automation
    Average: 8.6
    9.7
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Tel Aviv, IL
    LinkedIn® Page
    www.linkedin.com
    85 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Observability, for the Cloud. Monitor everything you run in your cloud without compromising on cost, granularity, or scale.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 38% Small-Business
groundcover 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
17
Monitoring
9
User Interface
9
Easy Setup
8
Observability
8
Cons
UX Improvement
7
Limited Features
4
Missing Features
4
Poor Customer Support
4
Dashboard Issues
3
groundcover features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
8.0
Automation
Average: 8.6
9.7
Integrations
Average: 8.8
Seller Details
Year Founded
2021
HQ Location
Tel Aviv, IL
LinkedIn® Page
www.linkedin.com
85 employees on LinkedIn®

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(55)4.4 out of 5
13th 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.

    Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slow

    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
    5
    Ease of Use
    5
    Flexibility
    3
    Customization
    2
    Documentation
    2
    Cons
    Limited Functionality
    4
    Data Management Issues
    2
    Dependency Issues
    2
    Limited Features
    2
    Limited Integration
    2
  • 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: 8.6
    8.5
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Soda
    Year Founded
    2018
    HQ Location
    Brussels, BE
    Twitter
    @sodadata
    909 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    111 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slow

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
5
Ease of Use
5
Flexibility
3
Customization
2
Documentation
2
Cons
Limited Functionality
4
Data Management Issues
2
Dependency Issues
2
Limited Features
2
Limited Integration
2
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: 8.6
8.5
Integrations
Average: 8.8
Seller Details
Seller
Soda
Year Founded
2018
HQ Location
Brussels, BE
Twitter
@sodadata
909 Twitter followers
LinkedIn® Page
www.linkedin.com
111 employees on LinkedIn®
(15)4.7 out of 5
Optimized for quick response
12th 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 pioneering the Data Operations Center (DOC), establishing a centralized, AI-driven platform necessary to manage data reliability as a strategic operational function. We are the first plat

    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
    Data Lineage
    8
    Monitoring
    7
    Customer Support
    6
    Efficiency Improvement
    5
    Automation
    3
    Cons
    Alert Management
    6
    Poor Documentation
    2
    Complex Setup
    1
    Difficult Learning Curve
    1
    Learning Curve
    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: 8.6
    8.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2022
    HQ Location
    Cincinnati
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pantomath is pioneering the Data Operations Center (DOC), establishing a centralized, AI-driven platform necessary to manage data reliability as a strategic operational function. We are the first plat

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
Data Lineage
8
Monitoring
7
Customer Support
6
Efficiency Improvement
5
Automation
3
Cons
Alert Management
6
Poor Documentation
2
Complex Setup
1
Difficult Learning Curve
1
Learning Curve
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: 8.6
8.6
Integrations
Average: 8.8
Seller Details
Company Website
Year Founded
2022
HQ Location
Cincinnati
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
(22)4.1 out of 5
14th 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.

    Bigeye is the most complete data observability platform for enterprise companies. Powered by true end-to-end lineage and AI-driven data monitoring, Bigeye empowers data teams in the world’s largest en

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 55% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Bigeye 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
    1
    Features
    1
    Cons
    Limited Features
    1
    Limited Integrations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bigeye features and usability ratings that predict user satisfaction
    7.2
    Ease of Admin
    Average: 8.7
    8.2
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.6
    8.4
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Bigeye
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @bigeyedata
    640 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bigeye is the most complete data observability platform for enterprise companies. Powered by true end-to-end lineage and AI-driven data monitoring, Bigeye empowers data teams in the world’s largest en

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 55% Small-Business
  • 27% Mid-Market
Bigeye 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
1
Features
1
Cons
Limited Features
1
Limited Integrations
1
Bigeye features and usability ratings that predict user satisfaction
7.2
Ease of Admin
Average: 8.7
8.2
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.6
8.4
Integrations
Average: 8.8
Seller Details
Seller
Bigeye
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@bigeyedata
640 Twitter followers
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®
(225)4.6 out of 5
Optimized for quick response
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.

    Telemetry data is now overwhelming—noisy, slow, and expensive. Mezmo’s Active Telemetry delivers live, high-context observability that cuts the noise, slashes cost, and powers fast iteration, by tappi

    Users
    • Software Engineer
    • CTO
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mezmo 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
    Efficiency Improvement
    2
    Log Management
    2
    Monitoring
    2
    Alerts
    1
    Connectivity
    1
    Cons
    Learning Difficulty
    2
    Difficult Learning
    1
    Difficult Navigation
    1
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mezmo features and usability ratings that predict user satisfaction
    9.2
    Ease of Admin
    Average: 8.7
    9.3
    Anomaly identification
    Average: 8.7
    8.8
    Automation
    Average: 8.6
    9.3
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mezmo
    Company Website
    Year Founded
    2015
    HQ Location
    San Jose, California
    Twitter
    @mezmodata
    1,747 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Telemetry data is now overwhelming—noisy, slow, and expensive. Mezmo’s Active Telemetry delivers live, high-context observability that cuts the noise, slashes cost, and powers fast iteration, by tappi

Users
  • Software Engineer
  • CTO
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% Small-Business
  • 32% Mid-Market
Mezmo 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
Efficiency Improvement
2
Log Management
2
Monitoring
2
Alerts
1
Connectivity
1
Cons
Learning Difficulty
2
Difficult Learning
1
Difficult Navigation
1
Expensive
1
Learning Curve
1
Mezmo features and usability ratings that predict user satisfaction
9.2
Ease of Admin
Average: 8.7
9.3
Anomaly identification
Average: 8.7
8.8
Automation
Average: 8.6
9.3
Integrations
Average: 8.8
Seller Details
Seller
Mezmo
Company Website
Year Founded
2015
HQ Location
San Jose, California
Twitter
@mezmodata
1,747 Twitter followers
LinkedIn® Page
www.linkedin.com
73 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
  • 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: 8.6
    8.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Remote, US
    Twitter
    @expectgreatdata
    3,592 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    47 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 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: 8.6
8.6
Integrations
Average: 8.8
Seller Details
Year Founded
2017
HQ Location
Remote, US
Twitter
@expectgreatdata
3,592 Twitter followers
LinkedIn® Page
www.linkedin.com
47 employees on LinkedIn®
(68)4.6 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.

    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
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    9.3
    Ease of Admin
    Average: 8.7
    7.9
    Anomaly identification
    Average: 8.7
    9.3
    Automation
    Average: 8.6
    9.8
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    452 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 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
Limitations
1
Mozart Data features and usability ratings that predict user satisfaction
9.3
Ease of Admin
Average: 8.7
7.9
Anomaly identification
Average: 8.7
9.3
Automation
Average: 8.6
9.8
Integrations
Average: 8.8
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
452 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing ent

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ThinkData Works features and usability ratings that predict user satisfaction
    8.7
    Ease of Admin
    Average: 8.7
    9.4
    Anomaly identification
    Average: 8.7
    9.2
    Automation
    Average: 8.6
    9.2
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Toronto, CA
    Twitter
    @thinkdataworks
    1,224 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing ent

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 33% Small-Business
ThinkData Works features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 8.7
9.4
Anomaly identification
Average: 8.7
9.2
Automation
Average: 8.6
9.2
Integrations
Average: 8.8
Seller Details
Year Founded
2014
HQ Location
Toronto, CA
Twitter
@thinkdataworks
1,224 Twitter followers
LinkedIn® Page
www.linkedin.com
19 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
    7.9
    Ease of Admin
    Average: 8.7
    8.1
    Anomaly identification
    Average: 8.7
    8.3
    Automation
    Average: 8.6
    8.3
    Integrations
    Average: 8.8
  • 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
    33 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
7.9
Ease of Admin
Average: 8.7
8.1
Anomaly identification
Average: 8.7
8.3
Automation
Average: 8.6
8.3
Integrations
Average: 8.8
Seller Details
Seller
Datafold
Year Founded
2020
HQ Location
New York, US
Twitter
@datafoldcom
1,117 Twitter followers
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Discover Datazip, a comprehensive no-code data engineering solution designed for time-conscious analysts and operators. Simplify your data management process by consolidating dispersed data sources, u

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Small-Business
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datazip features and usability ratings that predict user satisfaction
    8.9
    Ease of Admin
    Average: 8.7
    9.8
    Anomaly identification
    Average: 8.7
    9.6
    Automation
    Average: 8.6
    10.0
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    Lewes, US
    LinkedIn® Page
    www.linkedin.com
    24 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Discover Datazip, a comprehensive no-code data engineering solution designed for time-conscious analysts and operators. Simplify your data management process by consolidating dispersed data sources, u

Users
No information available
Industries
No information available
Market Segment
  • 46% Small-Business
  • 31% Mid-Market
Datazip features and usability ratings that predict user satisfaction
8.9
Ease of Admin
Average: 8.7
9.8
Anomaly identification
Average: 8.7
9.6
Automation
Average: 8.6
10.0
Integrations
Average: 8.8
Seller Details
Year Founded
2022
HQ Location
Lewes, US
LinkedIn® Page
www.linkedin.com
24 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) F

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Integrate.io 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
    Customer Support
    9
    Automation
    7
    Implementation Ease
    7
    Easy Integrations
    6
    Cons
    Poor Documentation
    5
    Insufficient Information
    4
    Feature Limitations
    3
    Lack of Information
    3
    Learning Difficulty
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Integrate.io features and usability ratings that predict user satisfaction
    8.7
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.6
    8.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @Integrateio
    4,322 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) F

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 32% Small-Business
Integrate.io 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
Customer Support
9
Automation
7
Implementation Ease
7
Easy Integrations
6
Cons
Poor Documentation
5
Insufficient Information
4
Feature Limitations
3
Lack of Information
3
Learning Difficulty
3
Integrate.io features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.6
8.6
Integrations
Average: 8.8
Seller Details
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@Integrateio
4,322 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
(41)4.4 out of 5
Optimized for quick response
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 49% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anomalo 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
    1
    Automation
    1
    Ease of Use
    1
    Efficiency
    1
    Monitoring Ease
    1
    Cons
    Alert Management
    1
    Expensive
    1
    Inaccuracy Issues
    1
    Inefficient Alert System
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anomalo features and usability ratings that predict user satisfaction
    8.1
    Ease of Admin
    Average: 8.7
    9.3
    Anomaly identification
    Average: 8.7
    7.8
    Automation
    Average: 8.6
    7.1
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anomalo
    Company Website
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @anomalo_hq
    543 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    101 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 49% Mid-Market
Anomalo 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
1
Automation
1
Ease of Use
1
Efficiency
1
Monitoring Ease
1
Cons
Alert Management
1
Expensive
1
Inaccuracy Issues
1
Inefficient Alert System
1
Limited Features
1
Anomalo features and usability ratings that predict user satisfaction
8.1
Ease of Admin
Average: 8.7
9.3
Anomaly identification
Average: 8.7
7.8
Automation
Average: 8.6
7.1
Integrations
Average: 8.8
Seller Details
Seller
Anomalo
Company Website
Year Founded
2018
HQ Location
N/A
Twitter
@anomalo_hq
543 Twitter followers
LinkedIn® Page
www.linkedin.com
101 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kensu features and usability ratings that predict user satisfaction
    7.7
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.3
    Automation
    Average: 8.6
    8.3
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kensu
    Year Founded
    2018
    HQ Location
    San Francisco Bay Area, US
    Twitter
    @kensuio
    259 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 40% Small-Business
Kensu features and usability ratings that predict user satisfaction
7.7
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.3
Automation
Average: 8.6
8.3
Integrations
Average: 8.8
Seller Details
Seller
Kensu
Year Founded
2018
HQ Location
San Francisco Bay Area, US
Twitter
@kensuio
259 Twitter followers
LinkedIn® Page
www.linkedin.com
11 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.

    SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 64% Mid-Market
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SelectZero 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
    Ease of Use
    7
    Features
    7
    User Experience
    5
    Customer Experience
    4
    Cons
    Limited Customization
    2
    User Interface Issues
    2
    Bug Issues
    1
    Limitations
    1
    Limited Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SelectZero features and usability ratings that predict user satisfaction
    9.7
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.7
    6.7
    Automation
    Average: 8.6
    8.1
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Estonia
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven

Users
No information available
Industries
  • Financial Services
Market Segment
  • 64% Mid-Market
  • 18% Small-Business
SelectZero 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
Ease of Use
7
Features
7
User Experience
5
Customer Experience
4
Cons
Limited Customization
2
User Interface Issues
2
Bug Issues
1
Limitations
1
Limited Functionality
1
SelectZero features and usability ratings that predict user satisfaction
9.7
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.7
6.7
Automation
Average: 8.6
8.1
Integrations
Average: 8.8
Seller Details
Year Founded
2020
HQ Location
Estonia
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®