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Data Center News > Blog > AI > Enterprise alert: PostgreSQL just became the database you can’t ignore for AI applications
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Enterprise alert: PostgreSQL just became the database you can’t ignore for AI applications

Last updated: June 3, 2025 5:38 am
Published June 3, 2025
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Enterprise alert: PostgreSQL just became the database you can't ignore for AI applications
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The open-source PostgreSQL (typically additionally known as Postgres) is outwardly a highly regarded commodity for giant enterprise information platform distributors.

Snowflake is buying privately-held PostgreSQL supplier Crunchy Data, in a deal that’s reportedly valued at $250 million. The acquisition comes barely two weeks after Snowflake’s rival Databricks acquired serverless PostgreSQL vendor Neon. The pair of PostgreSQL acquisitions highlights the vital significance of the open-source database to fashionable enterprise information and AI workflows. 

In contrast to Neon, which was solely a three-year-old firm, Crunchy Knowledge has been round for over a decade, having been based in 2012. The corporate’s core platform, Crunchy Postgres, is a managed, automated and totally supported model of PostgreSQL. There’s additionally a selected model of the platform for Kubernetes environments and a more recent product referred to as Crunchy Knowledge Warehouse that brings the platform to information lakehouse environments.

In line with Snowflake, Crunchy Knowledge’s expertise would be the basis of a brand new providing generally known as Snowflake Postgres. It can enable customers to mix Crunchy Knowledge’s enterprise-grade and developer-friendly Postgres capabilities inside Snowflake’s safe and ruled perimeter. The purpose is to simplify how builders construct, deploy and scale production-ready AI brokers and apps.

“In our discussions, it shortly turned clear that the identical traits that Crunchy Knowledge was seeing from the operational database world had been additionally obvious to Snowflake,” Paul Laurence, co-founder of Crunchy Knowledge wrote in a weblog post. “With at present’s announcement, we’re concentrating on the massive on-line transactional processing (OLTP) market, leveraging Snowflake’s attain and Crunchy Knowledge’s versatile, scalable options for enterprise workloads and builders alike.

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What PostgreSQL help brings to Snowflake

Snowflake has its personal information cloud platform that gives a cloud information warehouse for its enterprise clients.

Whereas Snowflake has a rising buyer base, it’s not the identical because the open-source PostgreSQL neighborhood. PostgreSQL has emerged to turn out to be a extremely popular database, not only for conventional enterprise functions but additionally for agentic AI. In spite of everything, that’s why Databricks acquired Neon.

It additionally brings in a stable developer neighborhood. Knowledge analyst Sanjeev Mohan instructed VentureBeat that in his view, this is a wonderful acquisition. 

“In contrast to Neon, Crunchy is actually enterprise,” Mohan stated.

He added that Crunchy Knowledge has a really deep PostgreSQL neighborhood of customers and it’s additionally engaged with Kubernetes. Crunchy Knowledge isn’t simply centered on PostgreSQL for operational workloads; it’s additionally in a position to help analytics as properly. PostgreSQL by default was initially simply an OLTP (On-line Transaction Processing) database, nevertheless it has been expanded by Crunchy Knowledge in addition to different distributors like Google with its AlloyDB, to additionally help OLAP (On-line Analytics Processing) database workloads. 

Mohan is total extraordinarily constructive on the continued prospect of PostgreSQL for enterprise use circumstances.

“The neighborhood has constantly added distinctive capabilities not just for conventional relational and SQL use circumstances but additionally for time-series, JSON and vector search, whereas boasting among the finest geospatial options accessible,” he stated.

Why PostgreSQL issues to the Snowflake and its enterprise customers

PostgreSQL is extensively used within the enterprise. However maybe much more importantly, builders more and more use it as a basis for agentic AI. That is one other key motive why Databricks acquired Neon and why Snowflake is now buying Crunchy Knowledge.

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It’s all a part of a broader multi-year effort at Snowflake to interact with builders in an open approach.

“The recognition of PostgreSQL with builders, coupled with CrunchyData’s help for information warehousing on Iceberg, align properly with Snowflake’s core technique,” Kevin Petrie, vp of analysis at BARC instructed VentureBeat.

Apache Iceberg is an open-source information lake desk format that Snowflake helps as a part of the corporate’s rising methods to embrace extra open applied sciences. Petrie famous that it’s not too arduous to think about how corporations would use CrunchyData expertise inside the Snowflake platform to construct AI functions for frequent use circumstances equivalent to telemetry, geospatial and commercial analytics. 

He’s additionally not too stunned that Crunchy Knowledge is being acquired.

“Crunchy Knowledge’s progress appears to have flattened within the final couple of years, so it’s not shocking to see them go for this exit,” Petrie stated. “The consolidation wave amongst information instruments and platforms continues.”

Why it issues to the enterprise

For enterprise information and AI leaders, Snowflake’s acquisition of Crunchy Knowledge reinforces a key level which will have already been apparent to some: PostgreSQL issues.

PostgreSQL is not simply an open-source different to proprietary relational databases. It’s an open, extensively used platform that’s quickly changing into a de facto normal for builders and the enterprises they work for to construct agentic AI and enterprise functions at scale.

The massive hyperscalers, together with Google, Amazon and Microsoft, in addition to a protracted checklist of smaller distributors together with EDB, Aiven and Netapp Instaclustr are all already supporting PostgreSQL.

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Now, with Snowflake and Databricks throwing their help and a whole bunch of hundreds of thousands of {dollars} at PostgreSQL, it’s clear that enterprises ought to have it as a part of their developer and AI stacks.


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