--- title: Datafold Reviews meta_title: 'Datafold Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 24 reviews by the users' company size, role or industry to find out how Datafold works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 24 scale: '5' date_modified: '2026-08-09' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Datafold Reviews **Vendor:** Datafold **Category:** [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 24 ## About 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. ## Datafold Reviews ### 1. A Powerful Tool for Ensuring Data Quality and Consistency **Rating:** 4.0/5.0 stars **Reviewed by:** Harshit A. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 18, 2023 **What do you like best about Datafold?** User-friendly interface: Datafold's drag-and-drop interface is easy to use and requires minimal training, allowing teams to quickly get started with data testing and monitoring. Comprehensive data lineage tracking: Datafold provides a complete view of the data pipeline, making it easy to track the source of issues that arise. Real-time alerts and visualizations: Datafold alerts users in real-time of any anomalies or issues that occur, allowing them to quickly address and resolve problems. Pre-built tests and checks: Datafold includes a range of pre-built tests and checks that can be used to ensure data quality and consistency, saving time and effort for data teams. **What do you dislike about Datafold?** Limited integration options: Datafold currently has limited integration options with third-party tools, which may be a drawback for teams that rely on a range of data tools and platforms. Limited functionality for non-SQL data: Datafold is primarily designed for SQL-based data pipelines, which means that teams working with non-SQL data may need to find alternative tools or workarounds. Limited control over testing and monitoring: Some users have reported that Datafold's pre-built tests and checks can be too rigid and inflexible, which may limit teams' ability to customize testing and monitoring to their specific needs. **What problems is Datafold solving and how is that benefiting you?** The benefits of using Datafold can include improved data quality, increased efficiency, and reduced risk of errors and data inconsistencies. By solving common data pipeline problems and providing a comprehensive suite of data testing and monitoring tools, Datafold can help teams to more effectively manage their data and achieve their business objectives. ### 2. A cheap Data Observing tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Online Media | Small-Business (50 or fewer emp.) **Reviewed Date:** April 04, 2023 **What do you like best about Datafold?** It helped to fix issues which gave insight to correct practices. **What do you dislike about Datafold?** It's a relatively new tool and doesn't have a vast community. Still a WIP. **What problems is Datafold solving and how is that benefiting you?** It helped to clearly see data under one roof, which helped production hours. ### 3. Great potential to transform your operations **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** October 07, 2021 **What do you like best about Datafold?** Datafold has a broad set of features, and the support team has been very responsive. **What do you dislike about Datafold?** Setup is not as easy as it was billed to be. We've also encountered a fair number of bugs, and UI performance is slow at times. **Recommendations to others considering Datafold:** The product is still a bit immature, but the combination of features is unique and powerful. I think, in particular, data diff is a standout. As they work out the kinks and we get it fully integrated into our workflows, I expect it will be very impactful for us. Having a widely accessible place for our organization to understand our data fully will reduce friction and free up resources for higher-value work. I expect as they get more traction in the market the tool will get even better and hopefully easier to setup. **What problems is Datafold solving and how is that benefiting you?** We wanted an easy way to understand our data flows and view data diff as a great tool to understand how code changes translate into data changes. We have yet to enable data diff, but lineage has already proved helpful as we refactor some of our pipelines. Being able to pull descriptions in yamls into a more widely accessible location helps improve understanding of our data in our organization. ### 4. Powerful, user-friendly tool for data observation and exploration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Wholesale | Mid-Market (51-1000 emp.) **Reviewed Date:** October 04, 2021 **What do you like best about Datafold?** Datafold is easy-to-use and complements my workflow well by helping me quickly understand the data I'm working with **What do you dislike about Datafold?** May struggle with extremely large tables **What problems is Datafold solving and how is that benefiting you?** Understanding the lineage and contents of my data. ## Datafold Discussions - [What is Datafold used for?](https://www.g2.com/discussions/what-is-datafold-used-for) - [View Datafold pricing details and edition comparison](https://www.g2.com/products/datafold/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-10+08%3A21%3A10+-0500&secure%5Bsession_id%5D=e6653e5a-8aa3-42da-8bc6-9b896e4f4bc3&secure%5Btoken%5D=13c1eab999e4cef0fe9bfbb8173ffea76d8af6a11396f896189da9557e638dba&format=llm_user) ## Datafold Features **Data Management** - Data Integration - Metadata **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Agentic AI - DataOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Analytics** - Dasboard visualizations **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Monitoring and Management** - Data Observability - Testing capabilities **Generative AI** - AI Text Generation **Cloud Deployment** - Hybrid cloud support - Cloud migration capabilities **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Generative AI** - AI Text Generation - AI Text Summarization ## Top Datafold Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (533 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,334 reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (399 reviews)