ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom

Open source database management system Postgres has reached a significant milestone, nearing its 40th anniversary. Recently, it has experienced a surge in demand, largely attributed to its compatibility with AI applications. However, despite this growing popularity, the search and analytics capabilities of Postgres have remained somewhat limited. Enter ParadeDB, a solution poised to transform the landscape.

Innovative Solutions for Enhanced Search

ParadeDB is an open source extension designed to enhance full-text search and analytics directly within Postgres, eliminating the need for users to transfer data to external sources. This innovative platform seamlessly integrates with various data infrastructure tools, including Google Cloud SQL, Azure Postgres, and Amazon RDS, among others.

Philippe Noël, co-founder and CEO of ParadeDB, shared insights with TechCrunch about the inception of the company. The idea emerged from personal challenges faced while using Postgres during the founders’ initial startup, a cloud-hybrid browser named Whist. Noël remarked, “Postgres is becoming the default database of the world, and you still can’t do good search over that information, believe it or not. There’s just a lot of pain points.” This realization prompted them to explore solutions that could address these common issues.

While ParadeDB is not the first to tackle Postgres search challenges, it distinguishes itself from legacy players like open source Elasticsearch, which has been operational since 2012. Noël explained that Elasticsearch requires data to be moved back and forth between itself and Postgres, a method that can falter under heavy workloads or frequent updates. “That breaks all the time,” he noted, highlighting compatibility and latency issues that can compromise user experience.

In contrast, ParadeDB aims to resolve these challenges by functioning as an extension built directly on top of Postgres, thereby eliminating the need for data transfer.

Founded in 2023, ParadeDB released its first open source version later that same year, prioritizing product development over sales and marketing initially. This focus was short-lived, as the company quickly attracted attention from Alibaba, the Chinese e-commerce giant, which became ParadeDB’s first customer in May 2024. This pivotal moment led the company to shift its focus toward developing an enterprise version of the software, now utilized by organizations such as Modern Treasury, Bilt Rewards, and TCDI.

Recently, ParadeDB secured a million Series A funding round led by Craft Ventures, with participation from existing investors, including Y Combinator. The funds will primarily be allocated toward expanding the team, which currently consists of four members, with plans to grow to at least ten. Additionally, resources will be directed towards enhancing the platform’s user interface and analytics capabilities.

Noël noted that the company had not initially sought to raise capital, but when Craft Ventures reached out after a recommendation from Supabase, they recognized the timing was right. “It’s clear people are recognizing that Postgres matters a lot, and they want to get behind it,” he added.

The increasing popularity of Postgres is further evidenced by recent mergers and acquisitions, such as Snowflake’s acquisition of Crunchy Data and Databricks’ purchase of Neon, both aimed at enhancing their Postgres offerings. Devin Pratt, a research director at IDC, emphasized the significance of Postgres in these acquisitions, stating, “It is widely used across the industry, and I would say that was one of the main targets for their acquisitions.”

As ParadeDB continues to innovate, the team is optimistic about capitalizing on the growing interest in Postgres. Noël concluded, “We think building on Postgres is actually a meaningful shift, right? Because that’s where the data is, and you can make a meaningful dent in Elasticsearch’s market share by meeting users where their data is, rather than building something that’s marginally faster or marginally cheaper.”

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ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom