Best Data Observability Software - Page 2

How Many Data Observability Software Products Does G2 Track?

Total Products under this Category: 74

Category Stats (Nov 2026)

  • Average Rating: 4.56/5 (↑0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: DataBuck (+10.3%) - Among all products in this category, DataBuck recorded the largest rating increase compared to last month

Last updated: November 10, 2026

How Does G2 Rank Data Observability Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,600+ Authentic Reviews
  • 74+ 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 decube.

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=decube)

Informatica Data Quality & Observability

Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables businesses to trust their data for analytics, decision-making, and customer engagement. This tool supports data cleansing, standardization, validation, and enrichment across various data sources and platforms, ensuring consistency and reliability throughout the data lifecycle. Key Features and Functionality: - Data Discovery and Profiling: Allows users to profile data and perform iterative analysis to identify relationships and detect quality issues. - Rich Set of Transformations: Offers capabilities such as standardization, validation, enrichment, and de-duplication to transform data effectively. - Reusable Rules and Accelerators: Provides prebuilt business rules and accelerators that can be reused to maintain consistent data quality standards. - Integrated Data Governance: Ensures data quality is applied automatically with integrated data governance and cataloging. - AI-Powered Automation: Utilizes AI to streamline data quality processes, enhancing productivity and efficiency. Primary Value and Solutions Provided: Informatica Data Quality addresses the challenge of maintaining high-quality data across an organization. By automating data quality tasks, it reduces manual effort and minimizes errors, leading to more accurate analytics and informed decision-making. The solution ensures that data is clean, complete, and free of duplicates, which is essential for reliable business insights. Additionally, by standardizing and validating data, organizations can deliver more relevant and personalized customer experiences, thereby enhancing customer engagement and satisfaction.

Average Rating: 4.3/5.0

Total Reviews: 62

How Do G2 Users Rate Informatica Data Quality & Observability?

  • Ease of Admin: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Informatica Data Quality & Observability?

  • Seller: Informatica
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA
  • Phone: 650-385-5000

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 75% Large, 50% Medium

What Do G2 Reviewers Say About Informatica Data Quality & Observability?

AI-generated summary from verified user reviews

Pros
  • Users value the customization options of Informatica Data Quality & Observability, tailoring rules to meet specific needs.
Cons
  • Users face a difficult learning curve with Informatica Data Quality & Observability, requiring significant time to grasp functionalities.
  • Users find a learning difficulty due to the considerable time needed to understand functionalities and features of Informatica Data Quality & Observability.
  • Users face significant training requirements to fully grasp the functionalities and features of Informatica Data Quality & Observability.

What Are Recent G2 Reviews of Informatica Data Quality & Observability?

What Are G2 Users Discussing About Informatica Data Quality & Observability?

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: 8.9/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Integrations: 8.5/10 (Category avg: 8.9/10)

Who Is the Company Behind Soda?

  • Seller: Soda
  • Year Founded: 2018
  • HQ Location: Brussels, BE
  • 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 streamlined data quality tasks in Soda, enhancing team alignment on data integrity and insights.
  • Users value the responsive support from Soda, enjoying direct interactions with the team through Slack for efficient assistance.
  • Users love the customization options of Soda, enabling tailored data quality tests and flexible usage without upfront licensing.
  • Users value the streamlined data management of Soda, enhancing team alignment and ensuring data quality effortlessly.
  • Users appreciate the ease of use of Soda, finding its interface intuitive and efficient for project management.
Cons
  • Users find the limited functionality of Soda restricts access to advanced features, hindering project management efficiency.
  • Users feel that limited access control restricts advanced feature utilization, making it less relevant for project managers' tasks.
  • Users find access issues limiting, as many advanced features remain underutilized or irrelevant for their specific roles.
  • Users feel there are data management issues with Soda, particularly related to the need for automated data quality testing.
  • Users find the limited features of Soda restrict growth and often feel underutilized for their specific roles.

What Are Recent G2 Reviews of Soda?

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: 8.9/10)
  • Automation: 8.6/10 (Category avg: 8.7/10)
  • Integrations: 7.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Elementary Data?

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 customizable alerts, enhancing data quality monitoring across their projects.
  • Users value the seamless integration with dbt, enhancing data quality monitoring and overall project efficiency.
  • Users appreciate the ease of use in Elementary Data, benefiting from its intuitive interface and user-friendly dashboards.
  • Users love the seamless Slack integration of Elementary Data, enhancing real-time collaboration and data monitoring seamlessly.
  • Users value the customizable alerting system that enhances data quality monitoring and stakeholder communication.
Cons
  • Users face integration issues with Elementary Data due to its limited compatibility with other tools beyond dbt.
  • Users face database integration issues with Elementary Data due to limited compatibility with tools beyond dbt.
  • Users note the limited integration with BI platforms restricts flexibility and adaptability in diverse workflows.
  • Users point out significant API limitations that hinder integration and customization, affecting overall usability.
  • Users find the limited features of Elementary Data hinder their ability to maximize its potential effectively.

What Are Recent G2 Reviews of Elementary Data?

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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: 8.9/10)
  • Automation: 8.8/10 (Category avg: 8.7/10)
  • Integrations: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind Great Expectations?

Who Uses This Product?

  • Company Size: 45% Medium, 36% Small

What Are Recent G2 Reviews of Great Expectations?

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: 8.9/10)
  • Automation: 8.0/10 (Category avg: 8.7/10)
  • Integrations: 9.7/10 (Category avg: 8.9/10)

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 love the intuitive interface of Groundcover, making it easy to manage and monitor landscaping projects.
  • Users value the excellent monitoring and observability features of Groundcover, greatly improving project management and insights.
  • Users praise the intuitive and user-friendly interface of Groundcover, simplifying project management and enhancing usability.
  • Users appreciate the easy setup of Groundcover, making onboarding a breeze for even novice users.
  • Users value the ease of setup and comprehensive observability features of Groundcover, enhancing their monitoring experience.
Cons
  • Users note a lack of UI element resizing and scrolling challenges that hinder usability and overall experience.
  • Users report limited features in Groundcover, especially with UI adjustments and lack of profiling support.
  • Users note missing features, particularly the lack of support for non-cloud-native systems and profilers.
  • Users experience poor customer support due to unclear documentation and issues with the Grafana dashboard links.
  • Users experience dashboard issues, including messy layouts, challenging navigation, and problems with log sharing in Groundcover.

What Are Recent G2 Reviews of groundcover?

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: 8.9/10)
  • Automation: 9.5/10 (Category avg: 8.7/10)
  • Integrations: 9.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Validio?

  • Seller: Validio
  • Year Founded: 2019
  • HQ Location: Stockholm, SE
  • 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 exceptional, ensuring effortless setup and implementation for any dataset.
  • Users find the easy setup of Validio invaluable for implementing validation processes quickly and effectively.
  • Users find the setup ease of Validio exceptional, facilitating quick integration and action on data quality alerts.
  • Users value the easy-to-setup actionable alerts in Validio, enabling swift responses to data quality issues.
  • Users value the knowledgeable customer support of Validio, enhancing their experience and understanding of the platform.
Cons
  • Users note limited customization options hinder meeting specific reporting and validation needs effectively.
  • Users express a need for enhanced reporting capabilities as the existing options do not meet their specific requirements.
  • Users would prefer greater customizability in filtering segments for validation, enhancing usability and flexibility.

What Are Recent G2 Reviews of Validio?

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: 69

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: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Integrations: 9.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Mozart Data?

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 52% Small, 48% Medium

What Are Recent G2 Reviews of Mozart Data?

What Are G2 Users Discussing About Mozart Data?

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: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Integrations: 8.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Unravel Data?

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 use in Unravel Data, finding it intuitive and efficient for data analysis.
  • Users value the easy setup of Unravel Data, appreciating its straightforward interface for adding AI agents.
  • Users commend the efficiency of Unravel Data, enabling swift analysis and effective diagnosis of data issues.
  • Users value the clear performance insights from Unravel Data, enabling quick data analysis and efficient issue diagnosis.
  • Users appreciate the installation ease of Unravel Data, finding the process quick and user-friendly.
Cons
  • Users find Unravel Data has limited features, struggling with large datasets and lacking intuitive insight interpretation.
  • Users dislike the complex configuration of advanced features, making it difficult to interpret insights effectively.
  • Users find the complex setup of Unravel Data challenging, particularly when configuring advanced features and interpreting insights.
  • Users find configuration difficulty with advanced features in Unravel Data, complicating the tuning of detailed performance metrics.
  • Users dislike the configuration challenges in Unravel Data, finding it difficult to interpret insights and tune performance metrics.

What Are Recent G2 Reviews of Unravel Data?

What Are G2 Users Discussing About Unravel 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: 8.9/10)
  • Automation: 8.7/10 (Category avg: 8.7/10)
  • Integrations: 9.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Mezmo?

  • Seller: Mezmo
  • Year Founded: 2015
  • HQ Location: San Jose, California
  • 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 appreciate the powerful search functionality of Mezmo, enabling quick access to relevant logs and context.
  • Users value the real-time alerts from Mezmo, enhancing log management with easy implementation and visibility.
  • Users appreciate the excellent data visualization features of Mezmo, making log monitoring and analysis straightforward and efficient.
  • Users find that Mezmo enhances efficiency in log management, boosting team productivity and simplifying incident response.
  • Users value the comprehensive visibility Mezmo provides into distributed systems, enhancing operational efficiency and customer experience.
Cons
  • Users find the UX improvement necessary as the design feels complex and navigation difficult for new users.
  • Users find the complex setup of Mezmo requires significant expertise and resources, complicating implementation and maintenance.
  • Users find the learning difficulty of Mezmo challenging for newcomers, despite improvements from the team.
  • Users find log management limitations frustrating, particularly the lack of a standard "log" level and documentation issues.
  • Users find Mezmo's website not user-friendly, citing difficulties in navigation and accessing documentation for first-time use.

What Are Recent G2 Reviews of Mezmo?

What Are G2 Users Discussing About Mezmo?

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: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Integrations: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind IBM Databand?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

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 feature of IBM Databand, enhancing monitoring and insights in data pipelines.
  • Users value the monitoring capabilities of IBM Databand, appreciating its insights and end-to-end visibility in data pipelines.
  • Users appreciate the automation capabilities of IBM Databand, enhancing efficiency in data pipeline management and monitoring.
  • Users value the customizable dashboard of IBM Databand for its simplicity and accessibility of key metrics.
  • Users value the data management capabilities of IBM Databand for efficiently handling ETL processes and pipeline monitoring.
Cons
  • Users note the limited features in IBM Databand, finding it challenging for smaller teams and new users.
  • Users find IBM Databand to be expensive for smaller teams, limiting accessibility and complicating onboarding for new users.
  • Users face integration issues with IBM Databand, particularly with limited compatibility and customizability for dashboards.
  • Users find IBM Databand has a steep learning curve, making onboarding challenging and navigation complex for new users.
  • Users find the missing features in IBM Databand, such as self error resolution and limited integrations, frustrating.

What Are Recent G2 Reviews of IBM Databand?

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: 8.9/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Integrations: 8.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Bigeye?

  • Seller: Bigeye
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • 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 value the ease of use of Bigeye, appreciating its straightforward concepts alongside advanced technical features.
  • Users appreciate the simple and intuitive design of Bigeye while benefiting from advanced technical features.
Cons
  • Users feel the limited features of Bigeye restrict integration with their specific tech stack needs.
  • Users feel frustrated with the limited integrations available in Bigeye, wishing for better compatibility with their tech stack.

What Are Recent G2 Reviews of Bigeye?

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: 8.9/10)
  • Automation: 9.2/10 (Category avg: 8.7/10)
  • Integrations: 9.2/10 (Category avg: 8.9/10)

Who Is the Company Behind ThinkData Works?

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: 8.9/10)
  • Automation: 8.3/10 (Category avg: 8.7/10)
  • Integrations: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Datafold?

  • Seller: Datafold
  • Year Founded: 2020
  • HQ Location: New York, US
  • 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: 8.9/10)
  • Automation: 9.6/10 (Category avg: 8.7/10)
  • Integrations: 10.0/10 (Category avg: 8.9/10)

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: 8.9/10)
  • Automation: 7.8/10 (Category avg: 8.7/10)
  • Integrations: 7.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Anomalo?

  • Seller: Anomalo
  • Company Website:
  • Year Founded: 2018
  • HQ Location: N/A
  • 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?

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