Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

Datagaps Inc. announced its latest product feature updates for the DataOps Suite Version 2022.5.0 – The theme of this update is Integration and Easy to apply Analysis. If you are interested in getting a demo of DataOps Suite, you can fill your details here....
Many organizations continue to use Oracle database for storing transactional and warehouse data in their on-premise data centers. However, with data growing exponentially, their data environments are struggling to handle the growing load which requires more processing power...
Today, Data has become the core of any business, and ETL processes are important for every data-related project. Be it Data Warehouse or Data Lake every business builds and runs thousands of ETL processes for its data movement. Data validation and ETL Testing will be of prime importance...
Migration from a legacy data warehouse such as Netezza to a cloud-based Snowflake data warehouse requires multiple steps. Data Validation is the key to the success of data migration projects. Datagaps Data Flow can be used to validate data in each step of the data migration as...
Datagaps Inc. announces a new partnership with Snowflake, the Data Cloud company. Datagaps attains Snowflake Select Technology Partner in the space of Data and Business Intelligence Validation to help organizations validate their migration to Snowflake’s Data Cloud....
From an IT perspective, testing subject areas is fairly complex. Every Subject Area is really a grouping of Dimension Folders (with attributes) and Measures also known as Facts. The dimension folders may have 100s of attributes and connected to fact tables via foreign keys. Typically...
This article describes ways in which we can test the data movement between Snowflake and on-premises data and between instances of Snowflake itself. We will also provide some benchmarks for doing comparison testing for large volumes of data moved into Snowflake....
We’ve recently seen an uptick in data validation inquiries with Cloud Data Migration projects. Obviously, this is driven by the undeniable success and cost savings associated with moving to the Cloud. We are well past the Hype Cycle of the Trough of Disillusionment as described by Gartner....
At DataGaps, this is pretty important for us as the testing automation needs for various BI platforms follow a similar trend. It is interesting that we do not see the traditional BI players in any of the quadrants but this picture is reflective of the number of BI Validator downloads...
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