Best Data Observability Software

What is 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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Best Data Observability Software At A Glance

Leader:
Monte Carlo
Monte Carlo
Highest Performer:
Dash0
Dash0
Easiest to Use:
Dash0
Dash0
Top Trending:
Metaplane
Metaplane
Best Free Software:
Metaplane
Metaplane
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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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58 Listings in Data Observability Available
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Monte Carlo
(487)4.3 out of 5
Entry Level Price:Contact Us
6th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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: 49% Enterprise, 44% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Alerts, Monitoring, Alerting System, Data Quality
ConsAlert Management, Alert Overload, Inefficient Alert System, UX Improvement, Limited Functionality
User SatisfactionSeller Details
Monte Carlo features and usability ratings that predict user satisfaction
8.5
Ease of Admin
Average: 8.8
8.7
Anomaly identification
Average: 8.8
8.1
Automation
Average: 8.6
8.1
Integrations
Average: 8.8
Seller Details
Seller
Monte Carlo
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,582 Twitter followers
LinkedIn® Page
www.linkedin.com
576 employees on LinkedIn®
Metaplane
(116)4.8 out of 5
Entry Level Price:Free
4th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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 ConsUser Satisfaction
ProsEase of Use, Easy Integrations, Monitoring, Alerting System, Anomaly Detection
ConsLimited Customization, Alert Management, Inefficient Alert System, Complex Setup, Difficult Setup
User SatisfactionSeller Details
Metaplane features and usability ratings that predict user satisfaction
9.3
Ease of Admin
Average: 8.8
9.2
Anomaly identification
Average: 8.8
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
50,872 Twitter followers
LinkedIn® Page
www.linkedin.com
10,625 employees on LinkedIn®
Ownership
NASDAQ: DDOG
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DQLabs
(45)4.6 out of 5
OverviewPros and Cons
Product Description

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,

Industries: Computer Software, Information Technology and Services · Market Segment: 44% Mid-Market, 20% Enterprise
Pros and ConsUser Satisfaction
ProsData Quality, Ease of Use, Efficiency Improvement, Automation, Features
ConsPoor Documentation, Product Immaturity, Complexity, Data Management Issues, Data Quality
User SatisfactionSeller Details
DQLabs features and usability ratings that predict user satisfaction
9.5
Ease of Admin
Average: 8.8
9.1
Anomaly identification
Average: 8.8
9.3
Automation
Average: 8.6
9.0
Integrations
Average: 8.8
Seller Details
Seller
DQLabs
Year Founded
2020
HQ Location
Pasadena, California
Twitter
@DQLABSAI
246 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
Rakuten SixthSense Data Observability
(11)4.5 out of 5
OverviewPros and Cons
Product Description

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

Market Segment: 45% Enterprise, 27% Mid-Market
Pros and ConsUser Satisfaction
ProsCustomer Support, Ease of Use, Data Lineage, Monitoring, Real-time Monitoring
ConsExpensive, Complex Setup, Alert Management, Limited Integration
User SatisfactionSeller Details
Rakuten SixthSense Data Observability features and usability ratings that predict user satisfaction
0.0
No information available
9.0
Anomaly identification
Average: 8.8
9.0
Automation
Average: 8.6
9.0
Integrations
Average: 8.8
Seller Details
Seller
Rakuten SixthSense
Year Founded
2016
HQ Location
Bengaluru, IN
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
Ownership
TYO: 4755
Dash0
(42)4.8 out of 5
Entry Level Price:$0.20
1st Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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

Industries: Computer Software, Information Technology and Services · Market Segment: 50% Small-Business, 31% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Customer Support, User Interface, Easy Setup, Easy Integrations
ConsLimited Features, Feature Deficiency, Missing Features, Limited Customization, Feature Limitations
User SatisfactionSeller Details
Dash0 features and usability ratings that predict user satisfaction
9.2
Ease of Admin
Average: 8.8
9.1
Anomaly identification
Average: 8.8
9.0
Automation
Average: 8.6
9.2
Integrations
Average: 8.8
Seller Details
Seller
Dash0
Company Website
Year Founded
2023
HQ Location
New York
Twitter
@dash0hq
2,277 Twitter followers
LinkedIn® Page
www.linkedin.com
109 employees on LinkedIn®
SquaredUp
(15)4.9 out of 5
Entry Level Price:Free
2nd Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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

Market Segment: 60% Enterprise, 33% Mid-Market
Pros and ConsUser Satisfaction
ProsDashboard Customization, Dashboard Design, Dashboard Quality, Dashboards, Dashboard Usability
ConsComplexity, Complex Setup, Configuration Difficulty, Difficult Configuration, Difficult Learning
User SatisfactionSeller Details
SquaredUp features and usability ratings that predict user satisfaction
9.6
Ease of Admin
Average: 8.8
9.2
Anomaly identification
Average: 8.8
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
1,176 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
Acceldata
(54)4.4 out of 5
10th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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

Industries: Computer Software, Information Technology and Services · Market Segment: 61% Enterprise, 22% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Customer Support, Efficiency Improvement, Features, Monitoring
ConsUX Improvement, Complex Setup, Difficult Setup, Learning Curve, Learning Difficulty
User SatisfactionSeller Details
Acceldata features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.8
8.6
Anomaly identification
Average: 8.8
8.1
Automation
Average: 8.6
8.3
Integrations
Average: 8.8
Seller Details
Seller
Acceldata
Company Website
Year Founded
2018
HQ Location
Campbell, CA
Twitter
@acceldataio
340 Twitter followers
LinkedIn® Page
www.linkedin.com
271 employees on LinkedIn®
decube
(24)4.6 out of 5
Entry Level Price:Free
5th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

Decube is a Context Layer platform specifically designed for the AI era, providing organizations with the ability to give their data meaning, memory, and trust. This innovative system integrates vario

Industries: Information Technology and Services · Market Segment: 38% Mid-Market, 33% Enterprise
Pros and ConsUser Satisfaction
ProsUser Interface, Ease of Use, Features, Data Quality, Insights
ConsLimited Functionality, Complex Setup, Limited Features, Missing Features, Poor Customer Support
User SatisfactionSeller Details
decube features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.8
9.1
Anomaly identification
Average: 8.8
8.8
Automation
Average: 8.6
8.8
Integrations
Average: 8.8
Seller Details
Seller
Decube Data
Company Website
Year Founded
2022
HQ Location
Kuala Lumpur
Twitter
@decube_data
114 Twitter followers
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®
SYNQ
(34)4.7 out of 5
Entry Level Price:$1,250.00
3rd Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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 ConsUser Satisfaction
ProsCustomer Support, Data Lineage, Monitoring, Alerting System, Data Quality
ConsNot User-Friendly, UX Improvement, Alert Management, Complex Setup, Data Management
User SatisfactionSeller Details
SYNQ features and usability ratings that predict user satisfaction
9.7
Ease of Admin
Average: 8.8
9.0
Anomaly identification
Average: 8.8
9.0
Automation
Average: 8.6
9.2
Integrations
Average: 8.8
Seller Details
Seller
SYNQ
Year Founded
2022
HQ Location
London, GB
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
Sifflet
(49)4.4 out of 5
Entry Level Price:Contact Us
9th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

About Sifflet Sifflet is a business-aware data observability platform that moves data teams from reactive firefighting to proactive decision intelligence. Powered by an intelligent system of AI agents

Industries: Information Technology and Services, Computer Software · Market Segment: 73% Mid-Market, 22% Enterprise
Pros and ConsUser Satisfaction
ProsEfficiency Improvement, Ease of Use, Monitoring, Data Lineage, Alerting System
ConsLimited Customization, Complex Setup, Alert Management, Limited Integration, Lineage Issues
User SatisfactionSeller Details
Sifflet features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 8.8
8.5
Anomaly identification
Average: 8.8
8.4
Automation
Average: 8.6
7.8
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
48 employees on LinkedIn®
Telmai
(22)4.9 out of 5
7th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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

Industries: Computer Software · Market Segment: 55% Enterprise, 32% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Automation, Anomaly Detection, Data Quality, Easy Integrations
ConsError Handling, Learning Difficulty, Limited Functionality, UX Improvement, Alert Management
User SatisfactionSeller Details
Telmai features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.8
9.2
Anomaly identification
Average: 8.8
9.0
Automation
Average: 8.6
9.0
Integrations
Average: 8.8
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
99 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
Matia
(32)4.9 out of 5
Entry Level Price:Pay As You Go
OverviewPros and Cons
Product Description

Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data,

Industries: Financial Services, Computer Software · Market Segment: 59% Mid-Market, 25% Small-Business
Pros and ConsUser Satisfaction
ProsCustomer Support, Ease of Use, Features, Integrations, Reliability
ConsLimited Connectors, Missing Features, Limited Features, Limited Integrations, Not User-Friendly
User SatisfactionSeller Details
Matia features and usability ratings that predict user satisfaction
10.0
Ease of Admin
Average: 8.8
9.2
Anomaly identification
Average: 8.8
9.7
Automation
Average: 8.6
10.0
Integrations
Average: 8.8
Seller Details
Seller
Matia
Company Website
Year Founded
2023
HQ Location
Miami, US
LinkedIn® Page
linkedin.com
39 employees on LinkedIn®
Avo
(22)4.6 out of 5
OverviewPros and Cons
Product Description

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

Industries: Financial Services · Market Segment: 55% Mid-Market, 32% Small-Business
Pros and ConsUser Satisfaction
ProsData Lineage, Ease of Use, Comprehensive Overview, Customer Support, Data Management
ConsComplex Setup, Difficult Setup, Learning Difficulty, Steep Learning Curve
User SatisfactionSeller Details
Avo features and usability ratings that predict user satisfaction
9.5
Ease of Admin
Average: 8.8
2.5
Anomaly identification
Average: 8.8
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
727 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
Elementary Data
(18)4.5 out of 5
OverviewPros and Cons
Product Description

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

Market Segment: 56% Mid-Market, 22% Enterprise
Pros and ConsUser Satisfaction
ProsFeatures, Insights, Ease of Use, Slack Integration, Alerting System
ConsIntegration Issues, Database Integration Issues, Limited Integration, API Limitations, Limited Features
User SatisfactionSeller Details
Elementary Data features and usability ratings that predict user satisfaction
8.9
Ease of Admin
Average: 8.8
9.0
Anomaly identification
Average: 8.8
8.6
Automation
Average: 8.6
7.8
Integrations
Average: 8.8
Seller Details
Seller
Elementary Data
Year Founded
2022
HQ Location
N/A
Twitter
@ElementaryData
407 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
Unravel Data
(36)4.4 out of 5
8th Easiest To Use in Data Observability software
OverviewPros and Cons
Product Description

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

Industries: Information Technology and Services, Financial Services · Market Segment: 81% Enterprise, 17% Small-Business
Pros and ConsUser Satisfaction
ProsEase of Use, Easy Setup, Efficiency, Insights, Installation Ease
ConsLimited Features, Complex Configuration, Complex Setup, Configuration Difficulty, Configuration Issues
User SatisfactionSeller Details
Unravel Data features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.8
8.3
Anomaly identification
Average: 8.8
8.2
Automation
Average: 8.6
8.1
Integrations
Average: 8.8
Seller Details
Seller
Unravel Data
Year Founded
2016
HQ Location
Mountain View, CA
Twitter
@unraveldata
1,030 Twitter followers
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
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Data Observability Topics

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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.


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