Startup Show: Rivery creates data pipelines for any app

Data pipelines may sound like something out of a tech engineer’s playbook, but their importance is hard to overstate in a data-driven world where companies need to gather, transform, and utilize data efficiently or risk falling behind. That’s where Rivery, a platform helping businesses streamline this process, is focusing its efforts.

In the latest episode of Grit Daily Startup Show, host John Biggs sat down with Rivery’s co-founder and CEO, Itamar Ben Hemo, to unpack what makes their approach to data movement unique and to delve into how AI is reshaping the game.

What Does Rivery Do?

If the term “data pipelines” sounds complex, don’t worry — you’re not alone. “What we are doing is basically data movement,” Ben Hemo explained, “helping customers to get the maximum value of basically democratized data.”

In plain terms, Rivery enables companies to pull data from a dizzying array of sources — databases, APIs, applications — and consolidate it into data warehouses like Google BigQuery or Snowflake. From there, businesses can transform this data for their needs using tools like Python or SQL.

Why is this important? Imagine trying to sift through mountains of marketing data from hundreds of sources, or replicating databases as your enterprise moves to the cloud. For many companies, this is a barrier to growth. Rivery simplifies the process, making once laborious tasks seamless.

The AI Revolution in Data Connectivity

One of the most exciting shifts in Rivery’s strategy is its embrace of AI. Traditionally, creating new data connectors required significant manual effort. Engineers had to decode documentation, map out APIs, and build connectors line by line. Ben Hemo admitted that this model created bottlenecks: “I told to my team, listen, we cannot wait one month to develop connector because we have a list of 100 for next month.”

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