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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

Best Data Observability Software At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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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
(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
    11
    Setup Ease
    7
    Customer Support
    6
    Easy Setup
    6
    Easy Integrations
    4
    Cons
    Learning Curve
    2
    SQL Knowledge Requirement
    2
    SQL Limitations
    2
    Confusing Changes
    1
    Confusing Usability
    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: 8.5
    9.8
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    435 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.

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
11
Setup Ease
7
Customer Support
6
Easy Setup
6
Easy Integrations
4
Cons
Learning Curve
2
SQL Knowledge Requirement
2
SQL Limitations
2
Confusing Changes
1
Confusing Usability
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: 8.5
9.8
Integrations
Average: 8.7
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
435 Twitter followers
LinkedIn® Page
www.linkedin.com
19 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
    23
    Monitoring
    11
    User Interface
    11
    Easy Setup
    10
    Insights
    9
    Cons
    Poor User Interface
    7
    Data Limitations
    4
    Lack of Features
    4
    Limited Features
    4
    Missing Features
    4
  • 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: 8.5
    9.7
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Tel Aviv, IL
    LinkedIn® Page
    www.linkedin.com
    47 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
23
Monitoring
11
User Interface
11
Easy Setup
10
Insights
9
Cons
Poor User Interface
7
Data Limitations
4
Lack of Features
4
Limited Features
4
Missing Features
4
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: 8.5
9.7
Integrations
Average: 8.7
Seller Details
Year Founded
2021
HQ Location
Tel Aviv, IL
LinkedIn® Page
www.linkedin.com
47 employees on LinkedIn®

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  • 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: 8.5
    9.2
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Toronto, CA
    Twitter
    @thinkdataworks
    1,251 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 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: 8.5
9.2
Integrations
Average: 8.7
Seller Details
Year Founded
2014
HQ Location
Toronto, CA
Twitter
@thinkdataworks
1,251 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
(21)4.1 out of 5
Optimized for quick response
11th 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
    • 57% Small-Business
    • 24% 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
    3
    Easy Integrations
    2
    Quality Checks
    2
    Alerts
    1
    Connectivity
    1
    Cons
    Alert Management
    1
    Alert Overload
    1
    Data Management
    1
    Difficult Learning
    1
    Not User-Friendly
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bigeye features and usability ratings that predict user satisfaction
    7.4
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.5
    8.4
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Bigeye
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @bigeyedata
    655 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59 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
  • 57% Small-Business
  • 24% 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
3
Easy Integrations
2
Quality Checks
2
Alerts
1
Connectivity
1
Cons
Alert Management
1
Alert Overload
1
Data Management
1
Difficult Learning
1
Not User-Friendly
1
Bigeye features and usability ratings that predict user satisfaction
7.4
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.5
8.4
Integrations
Average: 8.7
Seller Details
Seller
Bigeye
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@bigeyedata
655 Twitter followers
LinkedIn® Page
www.linkedin.com
59 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: 8.5
    8.3
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    New York, US
    Twitter
    @datafoldcom
    1,112 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    32 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: 8.5
8.3
Integrations
Average: 8.7
Seller Details
Year Founded
2020
HQ Location
New York, US
Twitter
@datafoldcom
1,112 Twitter followers
LinkedIn® Page
www.linkedin.com
32 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: 8.5
    10.0
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Lewes, US
    LinkedIn® Page
    www.linkedin.com
    16 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: 8.5
10.0
Integrations
Average: 8.7
Seller Details
HQ Location
Lewes, US
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
By Avo
(20)4.7 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We help customers plan, implement, and govern their event-driven infrastructure.

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 55% Mid-Market
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Avo 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
    Customer Support
    1
    Customization
    1
    Easy Integrations
    1
    Easy Setup
    1
    Cons
    Data Management
    1
    Data Management Issues
    1
    Limited Functionality
    1
    Not User-Friendly
    1
    Technical Expertise Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Avo features and usability ratings that predict user satisfaction
    9.4
    Ease of Admin
    Average: 8.7
    0.0
    Anomaly identification
    Average: 8.7
    0.0
    Automation
    Average: 8.5
    5.0
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Avo
    Year Founded
    2018
    HQ Location
    Walnut, US
    Twitter
    @avohq
    740 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    39 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We help customers plan, implement, and govern their event-driven infrastructure.

Users
No information available
Industries
  • Financial Services
Market Segment
  • 55% Mid-Market
  • 30% Small-Business
Avo 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
Customer Support
1
Customization
1
Easy Integrations
1
Easy Setup
1
Cons
Data Management
1
Data Management Issues
1
Limited Functionality
1
Not User-Friendly
1
Technical Expertise Required
1
Avo features and usability ratings that predict user satisfaction
9.4
Ease of Admin
Average: 8.7
0.0
Anomaly identification
Average: 8.7
0.0
Automation
Average: 8.5
5.0
Integrations
Average: 8.7
Seller Details
Seller
Avo
Year Founded
2018
HQ Location
Walnut, US
Twitter
@avohq
740 Twitter followers
LinkedIn® Page
www.linkedin.com
39 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
    16
    Customer Support
    13
    Features
    8
    Implementation Ease
    7
    Automation
    6
    Cons
    Poor Documentation
    5
    Error Handling
    4
    Error Reporting
    4
    Insufficient Information
    4
    Error Management
    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: 8.5
    8.6
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @Integrateio
    4,414 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
16
Customer Support
13
Features
8
Implementation Ease
7
Automation
6
Cons
Poor Documentation
5
Error Handling
4
Error Reporting
4
Insufficient Information
4
Error Management
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: 8.5
8.6
Integrations
Average: 8.7
Seller Details
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@Integrateio
4,414 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
(223)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.

    Mezmo, headquartered in San Jose, CA, is fundamentally changing how engineering teams manage telemetry data. Our platform provides an open and flexible telemetry pipeline that allows you to centralize

    Users
    • Software Engineer
    • CTO
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% Small-Business
    • 31% 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
    3
    Observability
    3
    Data Analytics
    2
    Ease of Use
    2
    Alerting System
    1
    Cons
    Complex Setup
    2
    Performance Issues
    2
    Technical Expertise Required
    2
    Complex Interface
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mezmo features and usability ratings that predict user satisfaction
    9.2
    Ease of Admin
    Average: 8.7
    9.4
    Anomaly identification
    Average: 8.7
    8.9
    Automation
    Average: 8.5
    9.4
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mezmo
    Company Website
    Year Founded
    2015
    HQ Location
    San Jose, California
    Twitter
    @mezmodata
    1,769 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    97 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Mezmo, headquartered in San Jose, CA, is fundamentally changing how engineering teams manage telemetry data. Our platform provides an open and flexible telemetry pipeline that allows you to centralize

Users
  • Software Engineer
  • CTO
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% Small-Business
  • 31% 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
3
Observability
3
Data Analytics
2
Ease of Use
2
Alerting System
1
Cons
Complex Setup
2
Performance Issues
2
Technical Expertise Required
2
Complex Interface
1
Learning Difficulty
1
Mezmo features and usability ratings that predict user satisfaction
9.2
Ease of Admin
Average: 8.7
9.4
Anomaly identification
Average: 8.7
8.9
Automation
Average: 8.5
9.4
Integrations
Average: 8.7
Seller Details
Seller
Mezmo
Company Website
Year Founded
2015
HQ Location
San Jose, California
Twitter
@mezmodata
1,769 Twitter followers
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
(41)4.4 out of 5
Optimized for quick response
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.

    The leader in enterprise data quality monitoring. Anomalo provides automated deep data quality monitoring and foundational data observability. With Anomalo, data teams and business stakeholders can de

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 49% Mid-Market
  • 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: 8.5
    7.1
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anomalo
    Company Website
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @anomalo_hq
    527 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    76 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The leader in enterprise data quality monitoring. Anomalo provides automated deep data quality monitoring and foundational data observability. With Anomalo, data teams and business stakeholders can de

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 49% Mid-Market
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: 8.5
7.1
Integrations
Average: 8.7
Seller Details
Seller
Anomalo
Company Website
Year Founded
2018
HQ Location
N/A
Twitter
@anomalo_hq
527 Twitter followers
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®
(18)4.8 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DQLabs redefines data management with Semantics and GenAI powered Modern Data Quality Platform, empowering organisations to transform raw data into reliable, actionable insights. Our automation-first,

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 72% Mid-Market
    • 17% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DQLabs 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
    8
    Data Accuracy
    6
    Efficiency Improvement
    5
    Ease of Use
    4
    Product Improvement
    4
    Cons
    Complexity
    1
    Data Management Issues
    1
    Data Quality
    1
    Learning Difficulty
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DQLabs features and usability ratings that predict user satisfaction
    9.3
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    9.4
    Automation
    Average: 8.5
    8.9
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DQLabs
    Company Website
    Year Founded
    2020
    HQ Location
    Pasadena, California
    Twitter
    @DQLABSAI
    245 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    70 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DQLabs redefines data management with Semantics and GenAI powered Modern Data Quality Platform, empowering organisations to transform raw data into reliable, actionable insights. Our automation-first,

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 72% Mid-Market
  • 17% Enterprise
DQLabs 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
8
Data Accuracy
6
Efficiency Improvement
5
Ease of Use
4
Product Improvement
4
Cons
Complexity
1
Data Management Issues
1
Data Quality
1
Learning Difficulty
1
Limited Customization
1
DQLabs features and usability ratings that predict user satisfaction
9.3
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
9.4
Automation
Average: 8.5
8.9
Integrations
Average: 8.7
Seller Details
Seller
DQLabs
Company Website
Year Founded
2020
HQ Location
Pasadena, California
Twitter
@DQLABSAI
245 Twitter followers
LinkedIn® Page
www.linkedin.com
70 employees on LinkedIn®
(10)4.3 out of 5
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  • 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: 8.5
    8.3
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kensu
    Year Founded
    2018
    HQ Location
    San Francisco Bay Area, US
    Twitter
    @kensuio
    262 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.

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: 8.5
8.3
Integrations
Average: 8.7
Seller Details
Seller
Kensu
Year Founded
2018
HQ Location
San Francisco Bay Area, US
Twitter
@kensuio
262 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.

    SixthSense Data Observability is a sophisticated data observability solution designed to help users effectively manage, monitor, and optimize their data pipelines. This product addresses the critical

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 57% Enterprise
    • 43% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rakuten SixthSense Data Observability features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.7
    Anomaly identification
    Average: 8.7
    9.0
    Automation
    Average: 8.5
    8.7
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Bengaluru, IN
    LinkedIn® Page
    www.linkedin.com
    9 employees on LinkedIn®
    Ownership
    TYO: 4755
Product Description
How are these determined?Information
This description is provided by the seller.

SixthSense Data Observability is a sophisticated data observability solution designed to help users effectively manage, monitor, and optimize their data pipelines. This product addresses the critical

Users
No information available
Industries
No information available
Market Segment
  • 57% Enterprise
  • 43% Mid-Market
Rakuten SixthSense Data Observability features and usability ratings that predict user satisfaction
0.0
No information available
8.7
Anomaly identification
Average: 8.7
9.0
Automation
Average: 8.5
8.7
Integrations
Average: 8.7
Seller Details
Company Website
Year Founded
2016
HQ Location
Bengaluru, IN
LinkedIn® Page
www.linkedin.com
9 employees on LinkedIn®
Ownership
TYO: 4755
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rooted in the collective wisdom of the Apache Flink community and addressing the unique challenges faced by enterprises, Datorios is the first data observability platform for Apache Flink, empowering

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datorios 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 Reliability
    1
    Detection Efficiency
    1
    Ease of Use
    1
    Efficiency Improvement
    1
    ETL Efficiency
    1
    Cons
    Learning Difficulty
    1
    Performance Issues
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datorios features and usability ratings that predict user satisfaction
    8.3
    Ease of Admin
    Average: 8.7
    10.0
    Anomaly identification
    Average: 8.7
    8.8
    Automation
    Average: 8.5
    8.3
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datorios
    Year Founded
    2020
    HQ Location
    Palo Alto, California
    Twitter
    @datorios
    39 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    32 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rooted in the collective wisdom of the Apache Flink community and addressing the unique challenges faced by enterprises, Datorios is the first data observability platform for Apache Flink, empowering

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 50% Small-Business
Datorios 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 Reliability
1
Detection Efficiency
1
Ease of Use
1
Efficiency Improvement
1
ETL Efficiency
1
Cons
Learning Difficulty
1
Performance Issues
1
Steep Learning Curve
1
Datorios features and usability ratings that predict user satisfaction
8.3
Ease of Admin
Average: 8.7
10.0
Anomaly identification
Average: 8.7
8.8
Automation
Average: 8.5
8.3
Integrations
Average: 8.7
Seller Details
Seller
Datorios
Year Founded
2020
HQ Location
Palo Alto, California
Twitter
@datorios
39 Twitter followers
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
(8)4.9 out of 5
Save to My Lists
Entry Level Price:$0.20
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dash0 is the only OpenTelemetry Native observability platform built with developers in mind. With granular, resource-centric monitoring, Dash0 provides real-time visibility across your applications an

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 63% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dash0 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
    6
    Ease of Use
    6
    User Interface
    4
    Cost Efficiency
    3
    Easy Integrations
    3
    Cons
    Feature Deficiency
    1
    Feature Limitations
    1
    Inadequate Monitoring
    1
    Insufficient Information
    1
    Lack of Clarity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dash0 features and usability ratings that predict user satisfaction
    10.0
    Ease of Admin
    Average: 8.7
    7.5
    Anomaly identification
    Average: 8.7
    7.5
    Automation
    Average: 8.5
    9.2
    Integrations
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dash0
    Company Website
    Year Founded
    2023
    HQ Location
    New York
    Twitter
    @dash0hq
    1,810 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dash0 is the only OpenTelemetry Native observability platform built with developers in mind. With granular, resource-centric monitoring, Dash0 provides real-time visibility across your applications an

Users
No information available
Industries
  • Computer Software
Market Segment
  • 63% Small-Business
  • 25% Mid-Market
Dash0 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
6
Ease of Use
6
User Interface
4
Cost Efficiency
3
Easy Integrations
3
Cons
Feature Deficiency
1
Feature Limitations
1
Inadequate Monitoring
1
Insufficient Information
1
Lack of Clarity
1
Dash0 features and usability ratings that predict user satisfaction
10.0
Ease of Admin
Average: 8.7
7.5
Anomaly identification
Average: 8.7
7.5
Automation
Average: 8.5
9.2
Integrations
Average: 8.7
Seller Details
Seller
Dash0
Company Website
Year Founded
2023
HQ Location
New York
Twitter
@dash0hq
1,810 Twitter followers
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®