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Home»Machine-Learning»Databricks Agrees to Purchase Neon to Ship Serverless Postgres for Builders + AI Brokers
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Databricks Agrees to Purchase Neon to Ship Serverless Postgres for Builders + AI Brokers

Editorial TeamBy Editorial TeamMay 14, 2025Updated:May 14, 2025No Comments3 Mins Read
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Databricks Agrees to Purchase Neon to Ship Serverless Postgres for Builders + AI Brokers
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Databricks, the Knowledge and AI firm, at present introduced its intent to accumulate Neon, a number one serverless Postgres firm. Because the $100-billion-plus database market braces for unprecedented disruption pushed by AI, Databricks plans to proceed innovating and investing in Neon’s database and developer expertise for present and new Neon prospects and companions.

Additionally Learn: Amperity Unveils Business’s First Id Decision Agent, Accelerating AI Readiness for Enterprise Manufacturers

Neon: An Open, Serverless Basis for Builders and AI Brokers

AI brokers have gotten more and more integral parts for contemporary builders, and Neon is purpose-built to help their agentic workflows. Current inside telemetry confirmed that over 80 % of the databases provisioned on Neon had been created routinely by AI brokers somewhat than by people, underscoring how explosively agentic workloads are rising. These workloads differ from human-driven patterns in three vital methods:

  1. Pace + flexibility: Brokers function at machine pace and conventional database provisioning typically turns into a bottleneck — Neon can spin up a totally remoted Postgres occasion in 500 milliseconds or much less and helps immediate branching and forking of not solely database schema but additionally information, so experiments by no means disturb manufacturing.
  2. Value proportionality: Brokers demand a value construction that scales exactly with utilization — Neon’s full separation of compute and storage retains the whole value of possession for 1000’s of ephemeral databases proportional to the queries they really run.
  3. Open supply ecosystem: Brokers anticipate to leverage the wealthy Postgres group — Neon is 100% Postgres-compatible and works out of the field with fashionable extensions.

“The period of AI-native, agent-driven purposes is reshaping what a database should do,” mentioned Ali Ghodsi, Co-Founder and CEO at Databricks. “Neon proves it: 4 out of each 5 databases on their platform are spun up by code, not people. By bringing Neon into Databricks, we’re giving builders a serverless Postgres that may sustain with agentic pace, pay-as-you-go economics and the openness of the Postgres group.”

Databricks and Neon’s Shared Imaginative and prescient

Collectively, Databricks and Neon will work to take away the normal limitations of databases that require compute and storage to scale in tandem — an inefficiency that hinders AI workloads. The mixing of Neon’s serverless Postgres structure with the Databricks Knowledge Intelligence Platform will assist builders and enterprise groups effectively construct and deploy AI agent programs. This strategy not solely prevents efficiency bottlenecks from 1000’s of concurrent brokers but additionally simplifies infrastructure, reduces prices and accelerates innovation — all with Databricks’ safety, governance and scalability on the core.

“4 years in the past, we got down to construct the most effective Postgres for the cloud that was serverless, extremely scalable, and open to everybody. With this acquisition, we plan to speed up that mission with the help and sources of an AI big,” mentioned Nikita Shamgunov, CEO of Neon. “Databricks was based by open supply pioneers dedicated to creating it simpler for builders to work with information and AI at any scale. Collectively, we’re beginning a brand new chapter on an much more formidable journey.”

Learn: AI in Content material Creation: High 25 AI Instruments

Neon’s proficient staff is anticipated to affix Databricks after the transaction closes, and the staff brings deep experience and continuity for Neon’s vibrant group. Collectively, Neon and Databricks will empower organizations to get rid of information silos, simplify structure and construct AI brokers which are extra responsive, dependable and safe.

[To share your insights with us, please write to psen@itechseries.com]



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