Airbyte today made available an offering based on open source data integration software that can now be used to migrate and convert data into formats that can run natively on applications regardless of where they are deployed.

Additionally, Airbyte is now providing support for a data activation capability, also known as reverse extract, transform and load (ETL), that makes it simpler to move data from AI applications back into business-critical applications such as Hubspot and Salesforce, with future plans calling for adding support for more than 200 application destinations.

Company CEO Michel Tricot said the Airbyte Enterprise Flex offering extends the reach of a data integration tool for moving data in a way that provides IT teams with more granular control. Enterprise Flex also provides access to the Airbyte library of more than 600 data connectors along with the ability to create custom connectors in minutes using a set of AI and nocode tools it provides.

The overall goal is to make it simpler to migrate terabytes of data in a few days at speeds that are now five to ten times faster to accelerate data migration efforts that previously would have required months of time and effort, he added.

That capability in addition to making it simpler to import data into a large language model (LLM) also provides the added benefit of making it simpler for organizations to comply with data sovereignty requirements that might necessitate moving data from a public cloud to an on-premises IT environment, noted Tricot.

In effect, Airbyte is making it possible for IT teams to retain full control over the data plane regardless of where data happens to be stored, said Tricot. Airbyte, meanwhile, manages the control plane to then enable IT teams to govern data by centrally applying policy controls and providing tools to track data lineage, he added.

Ultimately, IT teams are increasingly being tasked with two primary data management missions. The first is to simply regain control of data in a way that limits any exposure to rules and regulations that might be imposed by any government or regulatory body. The second challenge, however, is significantly more difficult because in addition IT teams need to make sure the right data shows up in the right place at the right time to drive AI applications. Airbyte is now making a case for a single platform that promises to make it simpler to achieve both of those goals.

Less clear, of course, is to what degree those capabilities might also enable IT teams to rationalize multiple existing tools that are used to move data but the one thing that is certain is, despite the inherent challenges, the volume of data moving between systems across the enterprise is only going to continue to exponentially increase in the months and years ahead. The issue then becomes finding ways for the average IT administrator to enable that volume of activity without necessarily requiring the expertise of a data engineer every time there is a need to move data from one platform to another.