Matvey Arye 🇺🇦
@cevianNY
Technical Leader @TimescaleDB heading up the AI and vector DB stuff. He/his.
Manage the embeddings of your documents in S3 through pgai, @PostgreSQL, and @pgvector
SIMPLIFY DOCUMENT EMBEDDINGS WITH PGAI VECTORIZER: Postgres + Amazon S3 Tired of complex AI pipelines for document embeddings? We've expanded pgai Vectorizer to automatically create searchable vector embeddings in Postgres from documents stored in S3 while keeping the original…
🐯 Timescale is now TigerData! 🚀 Eight years ago, we started as a PostgreSQL-based time-series database. But innovation never stands still—and neither have we. Today, we proudly unveil @TigerDatabase, marking our evolution into the fastest and most powerful PostgreSQL…
It's wild that @databricks chose to pay $1 billion (with a 200x multiple) for the slowest Postgres, @neondatabase 🧐
🚀 Skip the ETL headaches. Go straight from S3 to PostgreSQL. Traditional ETL pipelines are notorious for creating bottlenecks—data staleness, complex batch processing, and constant maintenance overhead. What if you could eliminate all of that? AWS Solutions Architects Mrinali…
Amazing to think I played a small part in building this.
🎉 We’re thrilled to be included in the TWiST500, a list of the top 500 private startups curated by @Jason and @twistartups. It's a special moment for us: 🕰️ Timescale was founded in 2015 with a mission to build the best database for time-series data. 📈 A decade later,…
1 billion embedding? NBD
Just worked with one of our AI customers at @TimescaleDB with almost 1 BILLION vector embeddings. Who says Postgres can't scale for vectors?!
pgAI - PostgreSQL suite of tools to develop RAG, semantic search, and other AI applications github.com/timescale/pgai
This was a huge lift for the team but I am glad we did it. It's the right thing to do.
🐘PGAI VECTORIZER NOW WORKS WITH ANY POSTGRES DATABASE (incl Timescale Cloud, Amazon RDS, Supabase, Azure PostgreSQL, and more) We heard you! After consistent feedback from developers, pgai Vectorizer – the tool for robust embedding creation, management, and experimentation by…
Building a PostgreSQL cloud platform is about more than just managing a database; it's about integrating into your broader cloud architecture. Postgres is the flexible application database. S3 has become the backbone of modern lakehouses. Many teams already write raw data --…
🔥It’s Launch Week Day 3: Turn S3 into a continuous analytics feed. Unlock the full power of S3 + Postgres: Two game-changing capabilities from Timescale. Two new S3 powers: 👉Livesync for S3: Auto-sync CSV & Parquet files into Postgres within seconds of arrival 👉pgai…
Fun fact: Weeks ago our initial benchmark results showed Postgres/pgvectorscale crushing Qdrant performance with a default config. Would have been easy to publish those results, but the engineering team kept optimizing our use of Qdrant to eke out more performance, until we…
PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need. 🐘There's a common misconception that Postgres and pgvector can't scale for vectors. That’s why we @TimescaleDB built pgvectorscale, an open-source PostgreSQL extension…
The team has put in A LOT of effort into this. I am really proud of the fact that we honestly tried to squeeze the last bit of performance out of Qdrant (our competitor)...
PGVECTOR VS QDRANT: You don’t need a specialized vector database for large scale. Postgres is all you need. 🐘There's a common misconception that Postgres and pgvector can't scale for vectors. That’s why we @TimescaleDB built pgvectorscale, an open-source PostgreSQL extension…
When @TheFIREorg fought the Obama-era Title IX overreach, it was because power was being abused. Same principle applies here. The Trump admin can’t just bypass the law to punish schools — even schools w/ serious historic free speech problems like @Harvard.…