# 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. Great platform for improving data quality **Rating:** 5.0/5.0 stars **Reviewed by:** Sanjay D. | Data Analytics and Engineering , Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2023 **What do you like best about Datafold?** Datafold is a valuable data testing and monitoring tool that helps users ensure the quality and accuracy of their pipelines. It detects errors, improves data quality, and helps troubleshoot problems quickly, increasing confidence in the data. **What do you dislike about Datafold?** Datafold is an amazing platform I like all the features provided by this, but there is one limitation I observed that it has a steep learning curve, limited integration options, and a commercial subscription requirement these factors challenges for us in adopting and using this tool effectively. **What problems is Datafold solving and how is that benefiting you?** Datafold offers a complete picture of data pipeline health, performance, and quality for data teams to monitor and ensure smooth operations. Datafold automates the process of detecting data pipeline issues and ensures data quality. It saves time and resources by automating data testing, which would otherwise be time-consuming and error-prone if done manually. ### 2. Monitor your data pipelines using Datafold **Rating:** 5.0/5.0 stars **Reviewed by:** Kavyansh P. | Software Engineer - II, Enterprise (> 1000 emp.) **Reviewed Date:** April 05, 2023 **What do you like best about Datafold?** Datafold is a data obervality platform that helps people to esure the reliability of data pipelines. Datafold is easy to use. It's User Interface is clean people can easily select data sources and can monitor their data pipelines end to end with ease. It supports integrations with other tools so we can consume data with different sources and can monitor in one place. **What do you dislike about Datafold?** It has a limited scope. It supports only data observability and provides no data analysis or data science supports. We can't depend on it for taking future business related decisions. Datafold is a paid platform, which may make it less accessible to smaller teams with limited budgets. **What problems is Datafold solving and how is that benefiting you?** In our project, we need to consume data from multiple sources. We use integrations in Datafold that help me connect other data sources within one place and make it easy to observe the data pipeline. It also supports checks and alerts; We can create alerts per our threshold and receive them over email. ### 3. 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. ### 4. A good Automated testing platform **Rating:** 5.0/5.0 stars **Reviewed by:** G Santosh K. | Application Development Associate, Small-Business (50 or fewer emp.) **Reviewed Date:** April 14, 2023 **What do you like best about Datafold?** Datafold offers advanced testing capabilities, allowing users to validate data quality and identify potential issues in their pipelines before they become bigger problems. Its user-friendly interface and visualization tools make it easy to track data lineage and debug issues, even for those without extensive programming experience. **What do you dislike about Datafold?** it's up to individual users to evaluate Datafold and decide if it's the right tool for their needs based on their unique data infrastructure and workflow requirements. **What problems is Datafold solving and how is that benefiting you?** Datafold helps data engineers streamline the development and maintenance of data pipelines. Datafold solves : Automating change detection, Improving data quality, Streamlining development: ### 5. "Best tool for data quality and consistency" **Rating:** 5.0/5.0 stars **Reviewed by:** Madhusudhan M. | System Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Datafold?** It is simple and User friendly UI. It provides real-time updates.It includes best range in build tests and checks for data quality, consistency and saving time. **What do you dislike about Datafold?** There is no negative thing about the software but the price is little bit high compared to other softwares in the market. **What problems is Datafold solving and how is that benefiting you?** It is very much useful for data engineers for automation testing.Data Quality monitoring is too easy without any hard failures compared to other tools which are inflexible and takes hard failures. ### 6. Right one for testing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2023 **What do you like best about Datafold?** Awesome workflow, which is really a great feature of Datafold. Traditional way of doing data transfers is laborious. But this one helps to the best of capabilities. My fellow team was impressed. **What do you dislike about Datafold?** Nothing as such to say about negative here. But breadth of usage can be enhanced. This is not a drawback for sure. May be in coming days, will explore more and revert. For now all good **What problems is Datafold solving and how is that benefiting you?** Integration of data and managing data quality are two things that pose a big challenge in front of us. But Datafold made it easier to look and saved our time and effort ### 7. Review for Datafold **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** April 19, 2023 **What do you like best about Datafold?** Makes life easier with SQL code reviews helping find the hidden changes we made we dint know to our data.It gives ability to quality check the things in our own way with very much lesser errors compared to manual testing. **What do you dislike about Datafold?** Nothing in particular, a brief guide with documentation would have been justified. Helps in data managing of huge chunks of table, rows and records of data in day to day usage. **What problems is Datafold solving and how is that benefiting you?** Makes life way easier for automated testing Data accuracy and quality kpi achievement.easily integrates with modern data stacks such as Amazon redshift, snowflake,gitlab and GitHub ### 8. Automate data testing and improve data quality with DATAFOLD **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Datafold?** Datafold offers the best solution to solve data quality issues. It automates data testing, can easily integrate Datafold into Github and every change to SQL code can be validated by the API automatically. Not only Github can also be integrated with many other data stacks. **What do you dislike about Datafold?** If there was an option for Data analytics along with this it could have been better, Must add support for NoSQL data. **What problems is Datafold solving and how is that benefiting you?** Integrated Datafold API with GitHub which resulted in an improvement in the quality of data and also automated data testing saved a lot of time. ### 9. Great tool for hassle free data testing/comparison. **Rating:** 5.0/5.0 stars **Reviewed by:** Shanoop J. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 17, 2023 **What do you like best about Datafold?** Datafold helps in reducing the manual overhead of performing repetitive tasks. The tool offers various ways to implement automated testing and comparison. **What do you dislike about Datafold?** The pricing is a bit high. There are alternate tools in the market which offers the functionalities in much less price. **What problems is Datafold solving and how is that benefiting you?** It takes a lot of time to validate the data when we migrate it to another server. Datafold helps in minimizing the time taken to do that repetitive task. ### 10. Used to get the real data. **Rating:** 4.5/5.0 stars **Reviewed by:** Sunil K. | SW/App/Cloud Tech Support Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Datafold?** Datafold helps data teams to see how every code change impacts data and data applications. **What do you dislike about Datafold?** There is nothing to say negativity about Datafold because its very useful **What problems is Datafold solving and how is that benefiting you?** It solves common data pipeline problems and provides a comprehensive suite of data testing and monitoring tools. ### 11. Unfold data quality and consistency, use Datafold **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.) **Reviewed Date:** April 04, 2023 **What do you like best about Datafold?** 1. Simple and user friendly UI 2. Complete end to end data tracking 3. Real time updates 4. Rich library of reusable prebuilt functions **What do you dislike about Datafold?** 1. Handling of NoSQL Data is not supported comprehensively. 2. Integration options are not limited. **What problems is Datafold solving and how is that benefiting you?** Removed inconsistent data to a very good extent, having complete suite of end to end testing kit ultimately lead to achieving business goals ### 12. Datafold experience **Rating:** 4.5/5.0 stars **Reviewed by:** Sushil K. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** March 16, 2023 **What do you like best about Datafold?** Easy to use, some task is easily doable. **What do you dislike about Datafold?** some time it takes more time, need to resolve **What problems is Datafold solving and how is that benefiting you?** validate dbt model changes during development, deployment & migrations. Compare data differences during development ### 13. 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. ### 14. A great tool for automation testing. **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** April 04, 2023 **What do you like best about Datafold?** Automated testing tool for data engineers **What do you dislike about Datafold?** It is somewhat costly to use for freshers. **What problems is Datafold solving and how is that benefiting you?** It is useful for automated testing for data engineers ### 15. DataFold fills a core gap in your modern data stack **Rating:** 5.0/5.0 stars **Reviewed by:** Andrew B. | CTO, Consulting, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2021 **What do you like best about Datafold?** The Data Diff feature enables data teams to push new code with confidence. Combined with the Column Lineage feature, bugs and regressions are greatly reduced. **What do you dislike about Datafold?** Data catalog discovery needs more attention **What problems is Datafold solving and how is that benefiting you?** Code quality at the review stage had been a big problem. A change early on in the stack had downstream regressions which were not caught by engineers. Data Fold's integration with GitHub brings any issues with a change directly into the code review. ### 16. Easy to use for comparing queries for updates **Rating:** 5.0/5.0 stars **Reviewed by:** Rommel John P. | Associate Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** October 07, 2021 **What do you like best about Datafold?** I like how I can easily see the output differences of two queries, how many duplicates, and how many nulls there are. It makes it easier to drill down to the source of discrepancy. The lineage tool is also beneficial to see dependencies. **What do you dislike about Datafold?** Not a dislike, but just a suggestion if we can also go down to the per-field view of the lineage tool so we know which tables our metrics are coming from. This is particularly useful for tables with aggregated data and metrices from multiple tables. **What problems is Datafold solving and how is that benefiting you?** I use Datafold when updating queries when we change data sources or make improvements/additions. It's easier to see affected fields because we can see the columns of two queries next to each other. I used to run and download sections of the query and randomly compare columns for that, and re-run queries on the console to check for different filters. ### 17. Fantastic product for data quality and cataloging **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** November 18, 2021 **What do you like best about Datafold?** Datafold has a simple UI and navigation with powerful features underneath. The lineage product allows users to deeply explore how tables and data assets relate to each other, and easily see the dependency graph for a given table or column. This makes understanding the impact of data issues or outages very straightforward. Their datadiff product has been critical for data migrations that require careful orientation to detail. Their cataloging product is in its early stages, but is already helping us search and document the data assets we have, which makes onboarding new data scientists or data-saavy teammembers easier. **What do you dislike about Datafold?** There's ripe opportunity for datafold to continue to increase the integrations that they support. I'd love to see both Mode and Tableau integrations added as downstream asset integrations. Search on the catalogue is sometimes slow and clunky. The alerts functionality is pretty basic today and could use with more granular controls anda nd desintations. They're still early on in product development so I expect all of these things to improve over the next year! **What problems is Datafold solving and how is that benefiting you?** We're using Datafold to address data quality, visibility, and cataloging. It is also helpful to us in data incident management, in that it allows us to understand the impact of data quality issues. We are already realizing benefits by leveraging Datafold in our data onboarding process for new employees -- it's much easier to have them explore Datafold than SELECT * LIMIT 100 from all the relevant database tables they're trying to learn about. ### 18. Datafold shines a light on the changes you might now know you are making to your data **Rating:** 4.5/5.0 stars **Reviewed by:** Zack B. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** October 04, 2021 **What do you like best about Datafold?** Datafold makes it easy to see how the changes you make impact your data through easy-to-understand visualizations and tooling. Their integration with DBT helps make this incredible easily. **What do you dislike about Datafold?** Datafold does an excellent job for its intended purpose. Obviously, when you are deliberately making changes to your data, you need to be thoughtful about if the changes you are seeing are what you intended. It can require a bit of work to do this, but that is unavoidable. **What problems is Datafold solving and how is that benefiting you?** There have been a few larger code refactoring projects that Datafold has been an enormous help with. Since the project's goal is to have the output be the same, Datafold makes understanding if you achieved this incredibly straightforward. ### 19. 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. ### 20. Simple but powerful tool **Rating:** 4.5/5.0 stars **Reviewed by:** Alyce G. | Machine Learning Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 05, 2021 **What do you like best about Datafold?** 1) UI is very intuitive; it took me a few hours to figure out how to use the tool 2) The option to input queries creates a lot of flexibility for data quality monitoring, which is an unsolved problem by other tools 3) Alerting available through anomaly detection & setting bounds, which allows for domain knowledge & automated detection 4) Support team is very responsive to feedback **What do you dislike about Datafold?** No integration with Datadog / Pagerduty yet (alerting only available through email) **What problems is Datafold solving and how is that benefiting you?** Data quality monitoring without hard failures -- most other tools are too inflexible & force hard failures on pipelines. ### 21. A key DataOps tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Mid-Market (51-1000 emp.) **Reviewed Date:** October 07, 2021 **What do you like best about Datafold?** Although Datafold provides several features, their "data diff" and CI integration (Github) is the one that stands out the most. I don't know of any other commercial or open-source dataOps tool which provides this feature or the integration as nicely as Datafold does. **What do you dislike about Datafold?** Nothing stands out as a "dislike". It provides products and functionality which does what they claim. **What problems is Datafold solving and how is that benefiting you?** Datafold helps solve several problems with benefits such as 1) Datafold Datadiff CI with Github surfaces data value and schema downstream issues before it hits production, 2) Datafold Alerts with Slack monitors for known potential issues, data volume anomalies, and business rules and 3) Datafold Column Lineage provides excellent ad hoc query insights into where and how of individual column usage throughout our dbt models. ### 22. Great data catalog and lineage tool for medium-size teams **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** October 12, 2021 **What do you like best about Datafold?** It's easy to start with the tool. Datafold team provides excellent support - always reachable and ready to help. They offer a reasonable pricing model. **What do you dislike about Datafold?** While generally, UI is quite good, it has a few minor bugs/glitches and sometimes feels quite raw. Though as it's mentioned above, the support team is always there to collect feedback and follow up on issues. **Recommendations to others considering Datafold:** Works well with Redshift, easy to set up **What problems is Datafold solving and how is that benefiting you?** While the tool is famous for its "Data Diff" feature, we mainly use Data Catalog and Lineage features. It helps us move our "tribal knowledge" about the data to a centralized place and use Datafold as a single source of truth about the data meaning at our company. ### 23. Easy to use and user friendly interface **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** January 12, 2022 **What do you like best about Datafold?** Easy access and very user friendly. I like using this tool **What do you dislike about Datafold?** Sometimes laggs, but overall no bigger complaints from me **Recommendations to others considering Datafold:** Very useful little toy to make your job easier **What problems is Datafold solving and how is that benefiting you?** It makes my sales job so much easier ### 24. 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?section=pricing&secure%5Bexpires_at%5D=2026-05-16+02%3A39%3A27+-0500&secure%5Bsession_id%5D=a6449627-ddba-4a81-ba8c-67931386b4e7&secure%5Btoken%5D=fea54a810731a54782babb65e884116616d1305942d38bbee7493600620f24db&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 (512 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (742 reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (392 reviews)