Datafold
DatafoldReviews from AWS customer
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Right one for testing
What do you like best about the product?
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 the product?
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 the product 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
Review for Datafold
What do you like best about the product?
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 the product?
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.
Helps in data managing of huge chunks of table, rows and records of data in day to day usage.
What problems is the product 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
Data accuracy and quality kpi achievement.easily integrates with modern data stacks such as Amazon redshift, snowflake,gitlab and GitHub
Great platform for improving data quality
What do you like best about the product?
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 the product?
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 the product 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.
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.
"Best tool for data quality and consistency"
What do you like best about the product?
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 the product?
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 the product 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.
Used to get the real data.
What do you like best about the product?
Datafold helps data teams to see how every code change impacts data and data applications.
What do you dislike about the product?
There is nothing to say negativity about Datafold because its very useful
What problems is the product solving and how is that benefiting you?
It solves common data pipeline problems and provides a comprehensive suite of data testing and monitoring tools.
Automate data testing and improve data quality with DATAFOLD
What do you like best about the product?
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 the product?
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 the product 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.
A good Automated testing platform
What do you like best about the product?
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 the product?
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 the product 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:
Monitor your data pipelines using Datafold
What do you like best about the product?
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.
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 the product?
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.
Datafold is a paid platform, which may make it less accessible to smaller teams with limited budgets.
What problems is the product 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.
A great tool for automation testing.
What do you like best about the product?
Automated testing tool for data engineers
What do you dislike about the product?
It is somewhat costly to use for freshers.
What problems is the product solving and how is that benefiting you?
It is useful for automated testing for data engineers
A cheap Data Observing tool
What do you like best about the product?
It helped to fix issues which gave insight to correct practices.
What do you dislike about the product?
It's a relatively new tool and doesn't have a vast community. Still a WIP.
What problems is the product solving and how is that benefiting you?
It helped to clearly see data under one roof, which helped production hours.
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