With how essential data is for the day-to-day operations of most connected, modern businesses, it’s equally as important that these organizations can quickly access this data from any device on their network whenever needed.

Historically, teams would solve this by building a connector, pulling data out of the system and centralizing the data somewhere on their infrastructure.

“In early 2020, with my co-founder, we started Airbyte Inc., and our mission was ‘how do we address the long tail of data connectors?’” said Michel Tricot (pictured), co-founder and chief executive officer at Airbyte. “We decided to go for something open source so that people can build their own connectors, maintain connectors but also grow that long tail very fast.”

Tricot spoke with theCUBE industry analysts Dave Vellante and Lisa Martin at Snowflake Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Airbyte allows organizations to access and replicate data, its partnership with Snowflake and how generative AI is supported by Airbyte. (* Disclosure below.)

Data anywhere, anytime

When releasing Airbyte, Snowflake was one of the top places businesses wanted to store their data. Observing this, the company swiftly developed the ability to push data into Snowflake, taking advantage of open-source technology.

“The way our connectors are working, they can run directly into Snowflake. We have our own platform, which is a cloud product, or we have our enterprise solution, but we also can now run Airbyte’s connector directly into Snowflake native apps,” Tricot said.  “That’s something we announced today, where if you don’t want data to be accessed by anyone else but you, and maybe Snowflake, this is something you can do.”

Like most data-facing companies, Airbyte is seeking to take advantage of the growing utilization of generative artificial intelligence. Without the correct data, AI can’t work, especially when working on large language models.

“That’s where this type of partnership becomes important, because people that are using Snowflake are also really thinking hard about how to make AI a part of their strategy,” Tricot said. “We want to continue to funnel more of that data to power not only analytic and not only operational use cases, but also AI as a big one.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Snowflake Summit:

(* Disclosure: Snowflake Inc. and Airbyte Inc. sponsored this segment of theCUBE. Neither Snowflake, Airbyte, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE