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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
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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
(437)4.4 out of 5
8th 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.

    Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 51% Enterprise
    • 45% Mid-Market
  • 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
    139
    Monitoring
    129
    Alerts
    125
    Alerting System
    88
    Features
    80
    Cons
    Alert Management
    63
    Alert Overload
    63
    Inefficient Alert System
    57
    UX Improvement
    54
    Limited Features
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    8.5
    Ease of Admin
    Average: 8.7
    8.7
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.6
    8.1
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,593 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    542 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 51% Enterprise
  • 45% Mid-Market
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
139
Monitoring
129
Alerts
125
Alerting System
88
Features
80
Cons
Alert Management
63
Alert Overload
63
Inefficient Alert System
57
UX Improvement
54
Limited Features
45
Monte Carlo features and usability ratings that predict user satisfaction
8.5
Ease of Admin
Average: 8.7
8.7
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.6
8.1
Integrations
Average: 8.8
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,593 Twitter followers
LinkedIn® Page
www.linkedin.com
542 employees on LinkedIn®
(116)4.8 out of 5
4th 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
    • 22% 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
    13
    Customer Support
    9
    Easy Setup
    8
    Setup Ease
    8
    Efficiency Improvement
    5
    Cons
    Alert Management
    3
    Inefficient Alert System
    3
    Limited Customization
    2
    Noise Issues
    2
    Noisy Alerts
    2
  • 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: 8.6
    9.0
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datadog
    Year Founded
    2010
    HQ Location
    New York
    Twitter
    @datadoghq
    50,486 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,523 employees on LinkedIn®
    Ownership
    NASDAQ: DDOG
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
  • 22% 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
13
Customer Support
9
Easy Setup
8
Setup Ease
8
Efficiency Improvement
5
Cons
Alert Management
3
Inefficient Alert System
3
Limited Customization
2
Noise Issues
2
Noisy Alerts
2
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: 8.6
9.0
Integrations
Average: 8.8
Seller Details
Seller
Datadog
Year Founded
2010
HQ Location
New York
Twitter
@datadoghq
50,486 Twitter followers
LinkedIn® Page
www.linkedin.com
9,523 employees on LinkedIn®
Ownership
NASDAQ: DDOG

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(75)4.7 out of 5
Optimized for quick response
1st 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.

    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
    • Data Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 75% Mid-Market
    • 28% 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 Lineage
    27
    Monitoring
    27
    Efficiency Improvement
    26
    Ease of Use
    24
    Alerting System
    23
    Cons
    Limited Customization
    12
    Complex Setup
    10
    Limited Integration
    10
    Alert Management
    7
    Lineage Issues
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sifflet features and usability ratings that predict user satisfaction
    9.6
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    8.9
    Automation
    Average: 8.6
    8.8
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Sifflet
    Company Website
    Year Founded
    2021
    HQ Location
    Paris, Ile-de-France
    Twitter
    @Siffletdata
    393 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    43 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
  • Data Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 75% Mid-Market
  • 28% 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 Lineage
27
Monitoring
27
Efficiency Improvement
26
Ease of Use
24
Alerting System
23
Cons
Limited Customization
12
Complex Setup
10
Limited Integration
10
Alert Management
7
Lineage Issues
7
Sifflet features and usability ratings that predict user satisfaction
9.6
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
8.9
Automation
Average: 8.6
8.8
Integrations
Average: 8.8
Seller Details
Seller
Sifflet
Company Website
Year Founded
2021
HQ Location
Paris, Ile-de-France
Twitter
@Siffletdata
393 Twitter followers
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.

    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
    • 45% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Rakuten SixthSense Data Observability 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
    7
    Ease of Use
    7
    Data Lineage
    4
    Monitoring
    4
    Real-time Monitoring
    4
    Cons
    Expensive
    3
    Complex Setup
    2
    Alert Management
    1
    Limited Integration
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rakuten SixthSense Data Observability features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.0
    Anomaly identification
    Average: 8.7
    9.0
    Automation
    Average: 8.6
    9.0
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Bengaluru, IN
    LinkedIn® Page
    www.linkedin.com
    13 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
  • 45% Enterprise
  • 27% Mid-Market
Rakuten SixthSense Data Observability 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
7
Ease of Use
7
Data Lineage
4
Monitoring
4
Real-time Monitoring
4
Cons
Expensive
3
Complex Setup
2
Alert Management
1
Limited Integration
1
Rakuten SixthSense Data Observability features and usability ratings that predict user satisfaction
0.0
No information available
9.0
Anomaly identification
Average: 8.7
9.0
Automation
Average: 8.6
9.0
Integrations
Average: 8.8
Seller Details
Year Founded
2016
HQ Location
Bengaluru, IN
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
Ownership
TYO: 4755
(15)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
    • 60% Enterprise
    • 33% 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
    3
    Dashboard Usability
    2
    Data Analytics
    2
    Data Visualization
    2
    Easy Integrations
    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
    9.2
    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
    Seller
    SquaredUp
    Year Founded
    2011
    HQ Location
    Maidenhead, GB
    Twitter
    @squared_up
    1,189 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 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
  • 60% Enterprise
  • 33% 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
3
Dashboard Usability
2
Data Analytics
2
Data Visualization
2
Easy Integrations
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
9.2
Anomaly identification
Average: 8.7
9.2
Automation
Average: 8.6
9.2
Integrations
Average: 8.8
Seller Details
Seller
SquaredUp
Year Founded
2011
HQ Location
Maidenhead, GB
Twitter
@squared_up
1,189 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
(41)4.6 out of 5
Optimized for quick response
3rd 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.

    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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Mid-Market
    • 22% 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
    13
    Ease of Use
    12
    Data Accuracy
    11
    Automation
    9
    Data Integration
    9
    Cons
    Poor Documentation
    2
    Complexity
    1
    Data Management Issues
    1
    Data Quality
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DQLabs features and usability ratings that predict user satisfaction
    9.6
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    9.4
    Automation
    Average: 8.6
    9.1
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DQLabs
    Company Website
    Year Founded
    2020
    HQ Location
    Pasadena, California
    Twitter
    @DQLABSAI
    247 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    88 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% Mid-Market
  • 22% 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
13
Ease of Use
12
Data Accuracy
11
Automation
9
Data Integration
9
Cons
Poor Documentation
2
Complexity
1
Data Management Issues
1
Data Quality
1
Learning Difficulty
1
DQLabs features and usability ratings that predict user satisfaction
9.6
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
9.4
Automation
Average: 8.6
9.1
Integrations
Average: 8.8
Seller Details
Seller
DQLabs
Company Website
Year Founded
2020
HQ Location
Pasadena, California
Twitter
@DQLABSAI
247 Twitter followers
LinkedIn® Page
www.linkedin.com
88 employees on LinkedIn®
(39)4.8 out of 5
6th Easiest To Use in Data Observability software
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
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 26% 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
    Ease of Use
    25
    Customer Support
    23
    User Interface
    19
    Implementation Ease
    16
    Easy Integrations
    15
    Cons
    Limited Features
    8
    Feature Deficiency
    7
    Missing Features
    7
    Feature Limitations
    5
    Limited Customization
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dash0 features and usability ratings that predict user satisfaction
    9.0
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.7
    9.0
    Automation
    Average: 8.6
    9.3
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dash0
    Company Website
    Year Founded
    2023
    HQ Location
    New York
    Twitter
    @dash0hq
    2,122 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    84 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
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 26% 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
Ease of Use
25
Customer Support
23
User Interface
19
Implementation Ease
16
Easy Integrations
15
Cons
Limited Features
8
Feature Deficiency
7
Missing Features
7
Feature Limitations
5
Limited Customization
5
Dash0 features and usability ratings that predict user satisfaction
9.0
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.7
9.0
Automation
Average: 8.6
9.3
Integrations
Average: 8.8
Seller Details
Seller
Dash0
Company Website
Year Founded
2023
HQ Location
New York
Twitter
@dash0hq
2,122 Twitter followers
LinkedIn® Page
www.linkedin.com
84 employees on LinkedIn®
(47)4.4 out of 5
Optimized for quick response
11th 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 is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, qual

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 62% Enterprise
    • 21% 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
    Ease of Use
    15
    Customer Support
    12
    Automation
    10
    Data Management
    10
    Efficiency Improvement
    10
    Cons
    Poor UI
    7
    UX Improvement
    7
    Learning Difficulty
    6
    Complex Setup
    5
    Difficult Setup
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    8.5
    Ease of Admin
    Average: 8.7
    8.4
    Anomaly identification
    Average: 8.7
    8.1
    Automation
    Average: 8.6
    8.0
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acceldata
    Company Website
    Year Founded
    2018
    HQ Location
    Campbell, CA
    Twitter
    @acceldataio
    338 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.

Acceldata is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, qual

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 62% Enterprise
  • 21% 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
Ease of Use
15
Customer Support
12
Automation
10
Data Management
10
Efficiency Improvement
10
Cons
Poor UI
7
UX Improvement
7
Learning Difficulty
6
Complex Setup
5
Difficult Setup
5
Acceldata features and usability ratings that predict user satisfaction
8.5
Ease of Admin
Average: 8.7
8.4
Anomaly identification
Average: 8.7
8.1
Automation
Average: 8.6
8.0
Integrations
Average: 8.8
Seller Details
Seller
Acceldata
Company Website
Year Founded
2018
HQ Location
Campbell, CA
Twitter
@acceldataio
338 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(25)4.6 out of 5
7th Easiest To Use in Data Observability software
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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 Context Layer platform for the AI era — the system that gives your data meaning, memory, and trust. It brings together metadata, automated lineage, data quality, and observability to cre

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 36% Mid-Market
    • 32% Small-Business
  • 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
    Efficiency Improvement
    4
    Features
    4
    User Experience
    4
    User Interface
    4
    UX Design
    4
    Cons
    Complex Setup
    1
    Connector Issues
    1
    Data Security
    1
    Difficult Interface
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • decube features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 8.7
    9.1
    Anomaly identification
    Average: 8.7
    8.8
    Automation
    Average: 8.6
    8.8
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    Kuala Lumpur
    Twitter
    @decube_data
    115 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    38 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Decube is the Context Layer platform for the AI era — the system that gives your data meaning, memory, and trust. It brings together metadata, automated lineage, data quality, and observability to cre

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 36% Mid-Market
  • 32% Small-Business
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
Efficiency Improvement
4
Features
4
User Experience
4
User Interface
4
UX Design
4
Cons
Complex Setup
1
Connector Issues
1
Data Security
1
Difficult Interface
1
Integration Issues
1
decube features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.7
9.1
Anomaly identification
Average: 8.7
8.8
Automation
Average: 8.6
8.8
Integrations
Average: 8.8
Seller Details
Year Founded
2022
HQ Location
Kuala Lumpur
Twitter
@decube_data
115 Twitter followers
LinkedIn® Page
www.linkedin.com
38 employees on LinkedIn®
(34)4.7 out of 5
Optimized for quick response
5th Easiest To Use in Data Observability software
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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 a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahea

    Users
    • Analytics Engineer
    Industries
    • Leisure, Travel & Tourism
    • Computer Software
    Market Segment
    • 91% Mid-Market
    • 6% 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
    21
    Data Lineage
    18
    Monitoring
    10
    Alerting System
    9
    Efficiency Improvement
    9
    Cons
    UX Improvement
    8
    Data Management
    2
    Frequent Updates
    2
    Not User-Friendly
    2
    Alert Management
    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
    9.0
    Automation
    Average: 8.6
    9.2
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SYNQ
    Company Website
    Year Founded
    2022
    HQ Location
    London, GB
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahea

Users
  • Analytics Engineer
Industries
  • Leisure, Travel & Tourism
  • Computer Software
Market Segment
  • 91% Mid-Market
  • 6% 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
21
Data Lineage
18
Monitoring
10
Alerting System
9
Efficiency Improvement
9
Cons
UX Improvement
8
Data Management
2
Frequent Updates
2
Not User-Friendly
2
Alert Management
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
9.0
Automation
Average: 8.6
9.2
Integrations
Average: 8.8
Seller Details
Seller
SYNQ
Company Website
Year Founded
2022
HQ Location
London, GB
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
(35)4.4 out of 5
Optimized for quick response
10th Easiest To Use in Data Observability software
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  • 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
    • 80% Enterprise
    • 17% 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
    Data Management
    2
    Insights
    2
    Bug Detection
    1
    Cost-Effective
    1
    Cost Reduction
    1
    Cons
    Complexity
    1
    Confusing Details
    1
    Difficult Learning
    1
    Expensive
    1
    Learning Curve
    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: 8.6
    8.1
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Mountain View, CA
    Twitter
    @unraveldata
    1,035 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.

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
  • 80% Enterprise
  • 17% 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
Data Management
2
Insights
2
Bug Detection
1
Cost-Effective
1
Cost Reduction
1
Cons
Complexity
1
Confusing Details
1
Difficult Learning
1
Expensive
1
Learning Curve
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: 8.6
8.1
Integrations
Average: 8.8
Seller Details
Company Website
Year Founded
2016
HQ Location
Mountain View, CA
Twitter
@unraveldata
1,035 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.

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

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 57% Mid-Market
    • 29% 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
    Comprehensive Overview
    1
    Customer Support
    1
    Data Lineage
    1
    Documentation
    1
    Documentation Quality
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Avo features and usability ratings that predict user satisfaction
    9.5
    Ease of Admin
    Average: 8.7
    2.5
    Anomaly identification
    Average: 8.7
    5.0
    Automation
    Average: 8.6
    7.5
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Avo
    Year Founded
    2018
    HQ Location
    Walnut, US
    Twitter
    @avohq
    733 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.

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

Users
No information available
Industries
  • Financial Services
Market Segment
  • 57% Mid-Market
  • 29% 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
Comprehensive Overview
1
Customer Support
1
Data Lineage
1
Documentation
1
Documentation Quality
1
Cons
This product has not yet received any negative sentiments.
Avo features and usability ratings that predict user satisfaction
9.5
Ease of Admin
Average: 8.7
2.5
Anomaly identification
Average: 8.7
5.0
Automation
Average: 8.6
7.5
Integrations
Average: 8.8
Seller Details
Seller
Avo
Year Founded
2018
HQ Location
Walnut, US
Twitter
@avohq
733 Twitter followers
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
(17)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 helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational d

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 59% Mid-Market
    • 29% Small-Business
  • 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
    Alerts
    5
    Data Quality
    5
    Ease of Use
    5
    Efficiency Improvement
    5
    Easy Setup
    4
    Cons
    Limited Customization
    2
    Poor Documentation
    2
    User Interface Issues
    2
    UX Improvement
    2
    Complex Implementation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Validio features and usability ratings that predict user satisfaction
    9.7
    Ease of Admin
    Average: 8.7
    10.0
    Anomaly identification
    Average: 8.7
    9.5
    Automation
    Average: 8.6
    9.4
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Validio
    Company Website
    Year Founded
    2019
    HQ Location
    Stockholm, SE
    Twitter
    @Validio_Data
    63 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Validio helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational d

Users
No information available
Industries
  • Computer Software
Market Segment
  • 59% Mid-Market
  • 29% Small-Business
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
Alerts
5
Data Quality
5
Ease of Use
5
Efficiency Improvement
5
Easy Setup
4
Cons
Limited Customization
2
Poor Documentation
2
User Interface Issues
2
UX Improvement
2
Complex Implementation
1
Validio features and usability ratings that predict user satisfaction
9.7
Ease of Admin
Average: 8.7
10.0
Anomaly identification
Average: 8.7
9.5
Automation
Average: 8.6
9.4
Integrations
Average: 8.8
Seller Details
Seller
Validio
Company Website
Year Founded
2019
HQ Location
Stockholm, SE
Twitter
@Validio_Data
63 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
  • 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
    Efficiency Improvement
    7
    Data Quality
    6
    Alerting System
    4
    Ease of Use
    4
    Anomaly Detection
    3
    Cons
    Learning Difficulty
    5
    Limited Features
    3
    Complexity
    2
    Expensive
    2
    Integration Issues
    2
  • 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: 8.6
    8.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    710,904 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    322,159 employees on LinkedIn®
    Ownership
    SWX:IBM
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
Efficiency Improvement
7
Data Quality
6
Alerting System
4
Ease of Use
4
Anomaly Detection
3
Cons
Learning Difficulty
5
Limited Features
3
Complexity
2
Expensive
2
Integration Issues
2
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: 8.6
8.6
Integrations
Average: 8.8
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,904 Twitter followers
LinkedIn® Page
www.linkedin.com
322,159 employees on LinkedIn®
Ownership
SWX:IBM
  • 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
    • 56% Mid-Market
    • 22% 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
    Features
    8
    Insights
    8
    Alerting System
    7
    Setup Ease
    7
    Cons
    Integration Issues
    6
    Database Integration Issues
    4
    Limited Features
    3
    Limited Integration
    3
    API Limitations
    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
    9.0
    Anomaly identification
    Average: 8.7
    8.6
    Automation
    Average: 8.6
    7.8
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    N/A
    Twitter
    @ElementaryData
    413 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.

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
  • 56% Mid-Market
  • 22% 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
Features
8
Insights
8
Alerting System
7
Setup Ease
7
Cons
Integration Issues
6
Database Integration Issues
4
Limited Features
3
Limited Integration
3
API Limitations
2
Elementary Data features and usability ratings that predict user satisfaction
8.9
Ease of Admin
Average: 8.7
9.0
Anomaly identification
Average: 8.7
8.6
Automation
Average: 8.6
7.8
Integrations
Average: 8.8
Seller Details
Year Founded
2022
HQ Location
N/A
Twitter
@ElementaryData
413 Twitter followers
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®

Learn More About Data Observability Software

Data Observability Software FAQs

What’s the best data observability software for small businesses?

For small businesses aiming to maintain data quality, monitor pipelines, and catch issues early without complex setup, leading small business data observability solutions include:

  • Bigeye combines automated anomaly detection and root cause analysis in a platform that makes data reliability accessible without requiring deep technical resources, which is great for scaling teams.
  • IBM Databand delivers proactive monitoring and automated alerts while integrating easily with existing data pipelines, making it approachable for growing businesses with limited engineering support.
  • Monte Carlo offers a powerful but flexible solution with automated monitoring, data lineage, and incident resolution features. Although enterprise-ready, it also provides packages suitable for fast-growing small companies.