Datafold Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

There is no negative thing about the software but the price is little bit high compared to other softwares in the market. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

If there was an option for Data analytics along with this it could have been better, Must add support for NoSQL data. Review collected by and hosted on G2.com.

Datafold helps in reducing the manual overhead of performing repetitive tasks. The tool offers various ways to implement automated testing and comparison. Review collected by and hosted on G2.com.

The pricing is a bit high. There are alternate tools in the market which offers the functionalities in much less price. Review collected by and hosted on G2.com.

Datafold helps data teams to see how every code change impacts data and data applications. Review collected by and hosted on G2.com.

There is nothing to say negativity about Datafold because its very useful Review collected by and hosted on G2.com.