Best Data Observability Software - Page 2

How Many Data Observability Software Products Does G2 Track?

Total Products under this Category: 75

Category Stats (Sep 2026)

  • Average Rating: 4.54/5 (↓0.02 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Monte Carlo (+0.12%) - Among all products in this category, Monte Carlo recorded the largest rating increase compared to last month

Last updated: September 30, 2026

How Does G2 Rank Data Observability Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,500+ Authentic Reviews
  • 75+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Observability Software

G2 Grid® for Data Observability Software plotting products by satisfaction and market presence

Highlighted products: Monte Carlo, Metaplane, Dash0, DQLabs, Rakuten SixthSense Data Observability, SquaredUp, Matia, and Coalesce Quality.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-observability/grids.json?focus%5B%5D=monte-carlo&focus%5B%5D=metaplane&focus%5B%5D=dash0&focus%5B%5D=dqlabs&focus%5B%5D=rakuten-sixthsense-data-observability&focus%5B%5D=squaredup-squaredup&focus%5B%5D=matia&focus%5B%5D=coalesce-coalesce-quality)

Elementary Data

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 something breaks. Trusted by 5000+ analytics and data engineers, Elementary helps data-driven companies deliver production-grade data.

Average Rating: 4.5/5.0

Total Reviews: 18

How Do G2 Users Rate Elementary Data?

  • Ease of Admin: 8.9/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.0/10 (Category avg: 8.8/10)
  • Automation: 8.6/10 (Category avg: 8.6/10)
  • Integrations: 7.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Elementary Data?

  • Seller: Elementary Data
  • Year Founded: 2022
  • HQ Location: N/A
  • Twitter: @ElementaryData
    403 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    43 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Medium, 22% Large

What Do G2 Reviewers Say About Elementary Data?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration and automation features of Elementary Data, enhancing their data management experience.
  • Users praise the seamless integration of Elementary Data with dbt, enhancing real-time monitoring and collaboration through Slack.
  • Users love the ease of use of Elementary Data, allowing quick setup and seamless integration with existing tools.
  • Users value the Slack integration of Elementary Data for real-time alerts and enhanced team collaboration on data issues.
  • Users value the alerting system for its customization and integration with Slack, enhancing their monitoring capabilities.
Cons
  • Users face integration issues with Elementary Data, limiting connections with tools like Metabase and requiring private keys.
  • Users face database integration issues due to limited compatibility with vital tools, hindering workflow flexibility.
  • Users are frustrated by the limited integration options of Elementary Data, restricting its adaptability to various workflows.
  • Users are frustrated by the API limitations that restrict functionality and hinder integration with other tools.
  • Users find the limited features and unclear documentation hinder effective use and understanding of Elementary Data.

What Are Recent G2 Reviews of Elementary Data?

Soda

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slowing innovation. Soda fixes this with the only end-to-end data quality platform that automates the entire workflow — from detection to resolution — with AI built for data quality. We meet users where they are: - Engineers manage everything as code in Git. - Business users create and review data contracts in a collaborative interface. - Together, they work in a shared, AI-powered workflow to define quality expectations, monitor metrics, and isolate and remediate bad data directly in their environment. By uniting teams, automating with AI, and securing trust at the source, Soda helps organizations like Disney, Nubank, and HelloFresh restore confidence in their data and decisions. Why Soda? - Best AI for Data Quality — purpose-built, faster, and more accurate, with 70% fewer false positives than traditional monitoring. - Unite Business and Engineering — collaborative data contracts that bridge governance and technical workflows. - Securely Isolate and Fix Bad Data — record-level anomaly detection and remediation inside your own environment. Soda brings width and depth to data quality — from every dataset across multiple warehouses to every individual record in a dataset. Join us in building a world where teams trust their data, decisions, and AI.

Average Rating: 4.4/5.0

Total Reviews: 55

How Do G2 Users Rate Soda?

  • Ease of Admin: 8.6/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.6/10 (Category avg: 8.8/10)
  • Automation: 8.1/10 (Category avg: 8.6/10)
  • Integrations: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind Soda?

  • Seller: Soda
  • Year Founded: 2018
  • HQ Location: Brussels, BE
  • Twitter: @sodadata
    897 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    129 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 40% Large

What Do G2 Reviewers Say About Soda?

AI-generated summary from verified user reviews

Pros
  • Users value the high data quality of Soda, benefiting from its intuitive interface and effective project management support.
  • Users value the responsive customer support from the Soda team through Slack, leading to effective communication and assistance.
  • Users enjoy the customization options of Soda, enabling tailored data quality tests to fit specific needs.
  • Users value the clean and intuitive interface of Soda for efficient data management and real-time insights.
  • Users value the ease of use of Soda, finding its interface intuitive and helpful for efficient project management.
Cons
  • Users find that Soda has limited functionality, with advanced features feeling underutilized for their specific project management needs.
  • Users feel that limited access controls prevent them from fully utilizing Soda's advanced features tailored for project managers.
  • Users face access issues as limited permissions hinder the utilization of advanced features tailored for project management.
  • Users feel that Soda's data management issues could improve with better automated quality testing features for efficiency.
  • Users find the limited features of Soda restrict their efficiency, lacking essential tools tailored for project management tasks.

What Are Recent G2 Reviews of Soda?

Great Expectations

We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully managed SaaS solution while harnessing the power of the world's most popular data quality framework. With GX Cloud, data teams can work quickly, collaborate effectively, and always know what to expect from their data. GX Core is our open source Python offering, and the world's most popular data quality framework. It's a powerful, flexible data quality solution that empowers data teams to communicate better and take action effectively. At its heart are Expectations: verifiable assertions about your data that create clear and expressive data quality tests.

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate Great Expectations?

  • Ease of Admin: 8.3/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.3/10 (Category avg: 8.8/10)
  • Automation: 8.8/10 (Category avg: 8.6/10)
  • Integrations: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Great Expectations?

  • Seller: Great Expectations
  • Year Founded: 2017
  • HQ Location: Remote, US
  • Twitter: @expectgreatdata
    3,546 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    30 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 45% Medium, 36% Small

What Are Recent G2 Reviews of Great Expectations?

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Validio

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 data. Validio's AI-powered platform automatically monitors and validates both data and business KPIs, surfacing issues in real-time. This enables confident data-driven decision making across business domains such as user experiences, personalization, growth, and product development.

Average Rating: 5.0/5.0

Total Reviews: 16

How Do G2 Users Rate Validio?

  • Ease of Admin: 9.7/10 (Category avg: 8.8/10)
  • Anomaly identification: 10.0/10 (Category avg: 8.8/10)
  • Automation: 9.5/10 (Category avg: 8.6/10)
  • Integrations: 9.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Validio?

  • Seller: Validio
  • Year Founded: 2019
  • HQ Location: Stockholm, SE
  • Twitter: @Validio_Data
    65 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 63% Medium, 25% Small

What Do G2 Reviewers Say About Validio?

AI-generated summary from verified user reviews

Pros
  • Users find Validio's ease of use and simple implementation highly beneficial for frequent usage and integration.
  • Users value the easy setup of data validation in Validio, enabling quick actions on data quality issues.
  • Users love the easy setup of Validio, finding it simple to implement and use effectively.
  • Users value the effective machine learning capabilities of Validio for accurate data monitoring and timely alerts.
  • Users appreciate the easy setup for validation, making data integration seamless and efficient.
Cons
  • Users note that limited customization in Validio hampers their ability to tailor the product to their needs.
  • Users desire greater customizability in filtering segments for validations, indicating current limitations in flexibility.

What Are Recent G2 Reviews of Validio?

Unravel Data

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 address the speed and scale of modern data platforms like Databricks, Snowflake, and BigQuery, Unravel’s AI-powered Insights Engine provides recommendations to make smarter decisions and optimize your cloud data analytics' performance, reliability, and efficiency. You get full-stack, 'workload-aware' contextual intelligence about your data applications and pipelines, with AI-driven recommendations on where and how to improve and optimize DataOps, analytics, and AI, helping you troubleshoot faster, meet SLAs, and keep budgets under control. With Unravel, data teams unlock business value from data more quickly and efficiently. Unravel leverages AI and automation to provide real-time, user-level spend reporting, code-level cost optimization tips, and automated spend controls designed to empower and unify DataOps and FinOps teams. With Unravel, data teams can monitor data flows through their pipelines, and detect code, configuration, and infrastructure issues. By correlating and analyzing the full stack of telemetry metadata, Unravel provides easy-to-understand insights, actionable recommendations, and automation to optimize performance and efficiency before you deploy into production. Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Recently recognized by CRN as a Cloud 100 Company for 2025 and named Best Data Tool & Platform of 2023 by the annual SIIA CODiE Awards, Unravel Data is trusted by some of the world’s most recognized brands, including Maersk, Mastercard, and Equifax to unlock data-driven insights and deliver new innovations to market.

Average Rating: 4.4/5.0

Total Reviews: 36

How Do G2 Users Rate Unravel Data?

  • Ease of Admin: 8.8/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.3/10 (Category avg: 8.8/10)
  • Automation: 8.2/10 (Category avg: 8.6/10)
  • Integrations: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Unravel Data?

  • Seller: Unravel Data
  • Year Founded: 2016
  • HQ Location: Mountain View, CA
  • Twitter: @unraveldata
    1,029 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 81% Large, 17% Small

What Do G2 Reviewers Say About Unravel Data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of access and user-friendly interface of Unravel Data, enhancing their data analysis experience.
  • Users enjoy the easy setup of Unravel Data, finding it intuitive to add AI agents effortlessly.
  • Users value the efficiency of Unravel Data, enabling quick data analysis and effective issue diagnosis.
  • Users value the clear performance insights from Unravel Data, enabling quick analysis and efficient issue diagnosis.
  • Users appreciate the installation ease of Unravel Data, enjoying its user-friendly interface and straightforward AI agent integration.
Cons
  • Users find limited features in Unravel Data, affecting its usability with large datasets and advanced performance metrics.
  • Users find the complex configuration of advanced features challenging, making it difficult to interpret some insights effectively.
  • Users find the complex setup for advanced features challenging, often needing extra context for insights interpretation.
  • Users find the configuration difficulty of advanced features in Unravel Data frustrating and challenging to manage.
  • Users dislike the configuration challenges in Unravel Data, especially when tuning detailed metrics and interpreting insights.

What Are Recent G2 Reviews of Unravel Data?

What Are G2 Users Discussing About Unravel Data?

groundcover

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

Average Rating: 4.8/5.0

Total Reviews: 26

How Do G2 Users Rate groundcover?

  • Ease of Admin: 8.8/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.2/10 (Category avg: 8.8/10)
  • Automation: 8.0/10 (Category avg: 8.6/10)
  • Integrations: 9.7/10 (Category avg: 8.8/10)

Who Is the Company Behind groundcover?

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Medium, 38% Small

What Do G2 Reviewers Say About groundcover?

AI-generated summary from verified user reviews

Pros
  • Users value the user-friendly interface of Groundcover, making data access and service monitoring effortless.
  • Users value the intuitive interface and automation features of Groundcover, enhancing efficiency in monitoring and incident management.
  • Users love the user-friendly interface of Groundcover, making it easy to navigate and monitor services effectively.
  • Users love the easy setup of Groundcover, allowing quick deployment and integration with essential monitoring features.
  • Users find Groundcover's observability features easy to use, providing an efficient and effective monitoring solution.
Cons
  • Users note that the UI can be confusing and difficult to navigate, leading to a steep learning curve.
  • Users criticize the limited features of Groundcover, particularly struggling with UI resizing and profiling support.
  • Users find missing features like limited documentation and dashboard issues hinder their experience with Groundcover.
  • Users find poor customer support a concern, indicating a need for improvements in assistance and response times.
  • Users experience dashboard issues including messy layouts and navigation problems that hinder usability and efficiency.

What Are Recent G2 Reviews of groundcover?

Mozart Data

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 data platform empowers anyone to easily centralize, organize, and analyze their data without engineering resources. Instead of piecing together multiple tools, companies get everything they need to spin up a data stack in an hour — ETL, a data warehouse, and a data transformation tool — and gain visibility into their data pipelines. Join other data-driven companies, like Zeplin, Rippling, Modern Treasury, and Tempo, that are already getting the most out of their data. Learn more at https://www.mozartdata.com

Average Rating: 4.6/5.0

Total Reviews: 68

How Do G2 Users Rate Mozart Data?

  • Ease of Admin: 9.3/10 (Category avg: 8.8/10)
  • Anomaly identification: 7.9/10 (Category avg: 8.8/10)
  • Automation: 9.3/10 (Category avg: 8.6/10)
  • Integrations: 9.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Mozart Data?

  • Seller: Mozart Data
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @MozartData
    447 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 53% Small, 47% Medium

What Are Recent G2 Reviews of Mozart Data?

What Are G2 Users Discussing About Mozart Data?

Mezmo

Mezmo built an AI SRE agent that helps SRE and platform teams manage production environments with greater context, control, and trust. It supports autonomous incident detection, investigates incidents, identifies likely root causes, generates post-mortems, and turns repeatable operations work into governed agentic workflows on-call teams can rely on. The agent runs on AURA, Mezmo’s open-source agent harness, and is grounded by Mezmo’s real-time telemetry pipeline. Together, they give the agent task-ready context from logs, metrics, and traces instead of raw data dumps. Mezmo keeps production AI inspectable and controlled. Teams can connect their own models, integrate existing tools through MCP, run workflows on their own infrastructure, and audit every plan, prompt, and tool call. Mezmo is built for SRE and platform teams that want to bring AI into production operations without giving up control, context, or trust.

Average Rating: 4.6/5.0

Total Reviews: 213

How Do G2 Users Rate Mezmo?

  • Ease of Admin: 9.2/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.2/10 (Category avg: 8.8/10)
  • Automation: 8.7/10 (Category avg: 8.6/10)
  • Integrations: 9.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Mezmo?

  • Seller: Mezmo
  • Year Founded: 2015
  • HQ Location: San Jose, California
  • Twitter: @mezmodata
    1,733 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    62 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, CTO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 64% Small, 32% Medium

What Do G2 Reviewers Say About Mezmo?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of Mezmo, highlighting its intuitive UI and efficient log analysis capabilities.
  • Users appreciate the ease of log collection and analysis with Mezmo, enhancing incident response efficiency significantly.
  • Users value the real-time monitoring capabilities of Mezmo, streamlining log management and incident response efficiency.
  • Users appreciate the real-time monitoring capabilities of Mezmo, enhancing incident response and simplifying log analysis.
  • Users value the efficiency improvement with Mezmo, significantly enhancing productivity and streamlining log analysis.
Cons
  • Users find the UX improvement necessary, citing complexity and design issues that hinder first-time navigation.
  • Users find the complex setup of Mezmo requires specialized knowledge and significant resources for effective maintenance.
  • Users are concerned about the high costs of Mezmo, especially with rising prices based on log volume.
  • Users find learning Mezmo tricky at first, but appreciate the team's continuous improvements and support.
  • Users are frustrated by the limitation of log levels, missing support for regular console logging and poor documentation.

What Are Recent G2 Reviews of Mezmo?

What Are G2 Users Discussing About Mezmo?

Bigeye

AI is only as good as the data it runs on. Bigeye is the enterprise AI Trust platform built for data-driven organizations that need confidence in how AI uses their data. A longtime leader in data observability and lineage, Bigeye brings data quality, sensitivity scanning, governance, and runtime policy enforcement together in a single, end-to-end platform. This unified approach gives enterprises full visibility and control over how data is accessed, governed, and acted on by AI. By comprehensively managing data and AI, Bigeye helps teams accelerate AI deployments, improve stakeholder trust, and ensure accuracy, safety, and reliability at scale. Leading organizations including USAA, Zoom, Hertz, Cisco, and Freedom Mortgage rely on Bigeye to keep their data, and the AI built on top of it, reliable by default.

Average Rating: 4.1/5.0

Total Reviews: 22

How Do G2 Users Rate Bigeye?

  • Ease of Admin: 7.2/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.2/10 (Category avg: 8.8/10)
  • Automation: 8.1/10 (Category avg: 8.6/10)
  • Integrations: 8.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Bigeye?

  • Seller: Bigeye
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • Twitter: @bigeyedata
    651 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    64 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 55% Small, 27% Medium

What Do G2 Reviewers Say About Bigeye?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Bigeye intuitive, allowing quick understanding while offering advanced technical features.
  • Users value the simplicity and depth of Bigeye, appreciating its easy-to-understand concepts alongside advanced technical features.
Cons
  • Users are frustrated by the limited features of Bigeye, awaiting essential integrations for their tech stack.
  • Users are disappointed by the limited integrations with specific tech stack features they need for optimal performance.

What Are Recent G2 Reviews of Bigeye?

IBM Databand

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 --> https://www.ibm.com/account/reg/us-en/signup?formid=DEMO-dataaidataband CORE CAPABILITIES Incident Management Improve data reliability and quality under one roof with a single pane of glass for all your data incidents. Data Reliability Monitoring Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes. Data Quality Metrics Continuously validate data quality with dataset metrics for SLAs, column changes, and null records. Anomaly Detection Eliminate the unknown by seeing trends & detecting anomalies from your metadata in real time. DataOps Alerting and Routing Customize incident alerts and route notifications to impacted DataOps teams for faster resolution. End-to-end Lineage Visualize how data incidents impact upstream and downstream components of your data stack. Website www.ibm.com/products/databand

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate IBM Databand?

  • Ease of Admin: 8.0/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.3/10 (Category avg: 8.8/10)
  • Automation: 8.2/10 (Category avg: 8.6/10)
  • Integrations: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind IBM Databand?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 33% Large

What Do G2 Reviewers Say About IBM Databand?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automated anomaly detection in IBM Databand, enhancing insights and monitoring capabilities effortlessly.
  • Users appreciate the end-to-end visibility offered by IBM Databand, simplifying ETL development and root cause analysis.
  • Users appreciate the automation features of IBM Databand, simplifying data management and enhancing workflow efficiency.
  • Users enjoy the dashboard customization in IBM Databand, facilitating ease of use and key metrics accessibility.
  • Users value the data management capabilities of IBM Databand, enabling efficient monitoring and error handling in data pipelines.
Cons
  • Users experience limited features, noting high pricing and a steep learning curve for new users.
  • Users find the pricing high for smaller teams, which can limit accessibility and overall value.
  • Users face integration issues with IBM Databand, finding limited compatibility with third-party services and complex navigation challenges.
  • Users face a steep learning curve with IBM Databand, making onboarding and navigation challenging for newcomers.
  • Users find missing features like self error resolution and limited integrations hinder their overall experience with IBM Databand.

What Are Recent G2 Reviews of IBM Databand?

ThinkData Works

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 entire data warehouses, managing custom metadata and templates, and monitoring data health in real time. The result is a centralized view of refined data that can be better leveraged to drive business outcomes — with access and governance controls that support observability and compliance. - Build automated connections to data from any source - Manage, observe, and govern data on a platform as user-friendly as it is powerful - Easily and securely share data to any users, organizations, or applications https://www.thinkdataworks.com

Average Rating: 4.6/5.0

Total Reviews: 14

How Do G2 Users Rate ThinkData Works?

  • Ease of Admin: 8.7/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.4/10 (Category avg: 8.8/10)
  • Automation: 9.2/10 (Category avg: 8.6/10)
  • Integrations: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind ThinkData Works?

  • Seller: ThinkData Works
  • Year Founded: 2014
  • HQ Location: Toronto, CA
  • Twitter: @thinkdataworks
    1,211 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Medium, 36% Small

What Are Recent G2 Reviews of ThinkData Works?

Datafold

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 affect production. Datafold’s proactive approach to data quality helps data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Average Rating: 4.5/5.0

Total Reviews: 24

How Do G2 Users Rate Datafold?

  • Ease of Admin: 7.9/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.1/10 (Category avg: 8.8/10)
  • Automation: 8.3/10 (Category avg: 8.6/10)
  • Integrations: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Datafold?

  • Seller: Datafold
  • Year Founded: 2020
  • HQ Location: New York, US
  • Twitter: @datafoldcom
    1,107 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 54% Medium, 29% Small

What Are Recent G2 Reviews of Datafold?

What Are G2 Users Discussing About Datafold?

Datazip

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, utilizing ETL, data warehousing, and transformation capabilities. With Datazip's intuitive platform, create a dependable, scalable data infrastructure in a mere 45 minutes. Experience swift data connections, robust querying, and smooth exporting to drive insightful decision-making.

Average Rating: 4.7/5.0

Total Reviews: 13

How Do G2 Users Rate Datazip?

  • Ease of Admin: 8.9/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.8/10 (Category avg: 8.8/10)
  • Automation: 9.6/10 (Category avg: 8.6/10)
  • Integrations: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Datazip?

Who Uses This Product?

  • Company Size: 46% Small, 31% Medium

What Are Recent G2 Reviews of Datazip?

Anomalo

Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity.

Average Rating: 4.4/5.0

Total Reviews: 44

How Do G2 Users Rate Anomalo?

  • Ease of Admin: 7.8/10 (Category avg: 8.8/10)
  • Anomaly identification: 9.0/10 (Category avg: 8.8/10)
  • Automation: 7.8/10 (Category avg: 8.6/10)
  • Integrations: 7.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Anomalo?

  • Seller: Anomalo
  • Company Website:
  • Year Founded: 2018
  • HQ Location: N/A
  • Twitter: @anomalo_hq
    555 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    72 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 50% Medium, 48% Large

What Are Recent G2 Reviews of Anomalo?

What Are G2 Users Discussing About Anomalo?

Pantomath

Pantomath is pioneering the Data Operations Center (DOC), establishing a centralized, AI-driven platform necessary to manage data reliability as a strategic operational function. We are the first platform designed to continuously monitor, diagnose, and autonomously resolve data incidents across the entire cross-platform data ecosystem. Our approach transforms data reliability from a constant liability into an assured competitive advantage. Using purpose-built AI agents and a proprietary cross-platform interoperable data fabric, Pantomath automates the entire incident lifecycle: identifying the issue, pinpointing the single root cause, and executing immediate containment and mitigation. We empower organizations to move beyond costly reactive fixes, ensuring trustworthy data is delivered consistently and confidently to all stakeholders and consuming systems. Pantomath is designed for platform reliability teams, data engineers, and leaders responsible for data quality and SLAs. It supports critical use cases such as: - Detecting and resolving data incidents before stakeholders are affected - Unifying metadata, lineage, and job execution data for faster RCA - Automating resolution workflows and reducing mean time to acknowledge, detect, and resolve - Improving data trust across business teams by enabling transparency and accountability Key capabilities include: - Automated Discovery and Monitoring: Map and monitor pipelines, datasets, stored procedures, and dependencies across your stack. - AI-Powered RCA and Recommendations: Use built-in copilots to surface root cause and next steps in minutes. - Incident Correlation and Impact Analysis: Highlight downstream impact and notify the right teams in real time. - Autonomous Remediation: Self-heal pipelines through configurable automation policies. - Bring Your Own Catalog (BYOC): Integrate existing metadata tools to centralize data context. Pantomath gives enterprises a systemic, automated approach to data reliability - delivering trust, reducing noise, and empowering teams to scale data operations with confidence.

Average Rating: 4.7/5.0

Total Reviews: 15

How Do G2 Users Rate Pantomath?

  • Ease of Admin: 8.3/10 (Category avg: 8.8/10)
  • Anomaly identification: 8.5/10 (Category avg: 8.8/10)
  • Automation: 8.5/10 (Category avg: 8.6/10)
  • Integrations: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Pantomath?

  • Seller: Pantomath Inc.
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Cincinnati
  • LinkedIn® Page: www.linkedin.com
    62 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 73% Large, 27% Medium

What Do G2 Reviewers Say About Pantomath?

AI-generated summary from verified user reviews

Pros
  • Users value the outstanding data lineage visualization of Pantomath, enhancing efficiency in managing complex data operations.
  • Users appreciate the responsive customer support from Pantomath, ensuring a smooth setup and continuous improvements.
  • Users praise Pantomath for its exceptional efficiency improvements, enabling faster issue resolution and streamlined data operations.
  • Users value the comprehensive data visibility Pantomath offers, enhancing tracking and troubleshooting of their data operations.
  • Users value the effective issue resolution in Pantomath, allowing for quick identification and fixing of data pipeline problems.
Cons
  • Users find the initial alert overwhelm from Pantomath challenging, though support helps refine the system over time.
  • Users find the poor documentation of Pantomath challenging for integration, despite prompt bug fixes from the team.
  • Users find the complex setup of Pantomath challenging, requiring time to adjust and manage configurations effectively.
  • Users find it difficult to learn Pantomath, especially if they lack prior experience with its features.
  • Users find the learning curve challenging, especially for those lacking prior experience with certain features.

What Are Recent G2 Reviews of Pantomath?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated May 28, 2025