Pracedb takes on elasticsearch where interest in postgres explodes in the midst of artificial intelligence arm

Open source database management system Nearly 40 years, But I recently started seeing explosive demand because it is good suitable for artificial intelligence applications. Despite this height in popularity, research and analysis functions remain limited. Parkedb Change it.

PRIDEBB is an open source extension. Postgres facilitates entire research and text analyzes directly in postgres without users to transfer data to a separate source. The basic system is integrated with other data infrastructure tools, including Google Cloud SQL, Azure Postgras and Amazon RDS, among other things.

Philip Noel, co -founder and CEO of Pracedb, told Techcrunch that he and his co -founder, Ming Ying, CTO, got the idea of the company by facing their postgres search problems while operating the first startup, and Whist the cloud browser.

Noel said: “Bosters have become the virtual database of the world, and I still cannot do good search for that information, believe or do not believe.” “There are a lot of pain points. So we decided to go and start a company to do this after talking to more people and realizing that this is a very common problem.”

Pracedb is not the first company to try to solve the search after postgres. Open Source Elasticsearch is the most prominent heritage player in space since its foundation in 2012. Noël said that elasticsearch works by transferring data back and forth between it and postgres, which can work, but this system is not great for the hard work burdens or operations that require a frequent update.

“This breaks all the time,” Nawil said. “The two data base does not aim to work together. There are a lot of compatibility problems, there are a lot of cumin problems, high costs, all of which deteriorate the user experience.”

PARCEDB claims that it eliminates a lot of these challenges by building as an appendix on top of postgres directly, not required to transfer data.

The startup company was established in 2023 and issued the first open source version of the product later that year. Noel said that the group wanted to focus first on building an open source product before considering sales or marketing.

It was short -term. In early 2024, Alibaba reached the giant of Chinese e -commerce and became the first agent of Parayedb in May 2024. From there, the company turned towards building the institution’s version of the program. It now operates with companies, including a modern locker, broadcast bonuses, and TCDI, among other things.

PRACEDB collected a 12 million dollar tour led by Craft Ventures with the participation of current investors, including Y Combinator.

The company will use employment funds. Parkedb is currently a four -person team and looking to grow to at least 10 employees. Some funds will also go to continue to improve the primary system user interface and analysis capabilities.

Noel said that the company is not looking to collect the capital, but when Kraft reached Pracedb after recommending it SupabasePostgres developer platform it has Adinity of $ 400 million in investment capitalThey thought the timing is logical.

He added: “It is clear that people realize that posgres is very important, and they want to fall behind.”

It is clear that the popularity of postgres is high if the last integration and purchases are any indicator. Recent acquisitions Crocalized data by snowflake and Neon by databricks Divin Pratt, IDC’s research director, said last month that both successors for buyers to get more postgres offers.

“It is widely used throughout the industry, and I would like to say that it was one of the main goals of their acquisitions,” Prat told Techcrunch at the time. “The various strengths of the neon were discussed against the crunchy (data) between the two companies and what is best suitable for their companies, but Bosterz was their first goal in these acquisitions.”

Parkedb hopes to be able to ride this wave of attention.

“We believe that building on posgres is actually a meaningful transformation, right?” Noel said. “Since this is where the data is located, and you can put a meaningful share in the market share of Elasticsearch by meeting users where their data is, rather than building something marginally faster or cheaper in a marginal way.”