ParadeDB has raised a $12M Series A to bring Elasticsearch workloads to Postgres. Read it on TechCrunch:

We’ve worked with 50+ companies syncing Postgres with non-Postgres sinks like Elasticsearch. Our latest post is a deep dive into how Postgres → Postgres differs from Postgres → anything else. https://t.co/n9g0SzfCYy

We're proud to be partnering with @BiltRewards to improve the member search experience with minimal infrastructure overhead. https://t.co/H852kCngvV

The ParadeDB BM25 index brings Elastic-style full-text search to Postgres, powered by our custom Postgres-native LSM tree. Dive into how we built it: https://t.co/rInitiy1YX

Exciting news! We've partnered with @neondatabase, one of the largest managed Postgres providers, to bring ParadeDB to their platform. As of this morning, pg_search is now live on Neon!

fascinating read about how @paradedb are going deeper into block storage to leverage more of Postgres' default feature set (physical replication, buffer cache, etc) ↓ postgres becoming the default database engine + pg_search becoming the default search tool for devs

ParadeDB is now integrated with Postgres block storage. Today, we are releasing Part 1 of our 3-part blog series on how we designed a new storage mechanism for search and analytics in Postgres. https://t.co/9XSRJzf71n

Alibaba Cloud is one of the world's largest and most innovative Postgres providers. ParadeDB is excited to bring full text search to their Postgres-based data warehouse. https://t.co/TKFHd56TgQ

ParadeDB is proud to partner with @Insa_Strasbourg to power a new research database for scientific publications:

1/8. I'm beyond excited to share that Eric Ridge, the founder of ZomboDB and original author of pgrx, is the latest addition to the @ParadeDB team.🧵

We believe that picking AGPL is one of the best decisions we've made for the company. Here's why: https://t.co/G7BdhKceks

ParadeDB is now available as a @Railway template:

Right now, ParadeDB sits at 4999 stars. The next person to star us will have the honor of taking us to 5K. If you’re that person, DM us and we’ll send you a special gift.

We've worked with 50+ companies who have evaluated Elasticsearch and native Postgres for full text search over Postgres tables. Our latest case study is a deep dive on which option might be right for you. https://t.co/wFueStB3wR

Support for Apache Iceberg tables in Postgres has arrived in the 0.8.0 release of pg_lakehouse 🎉 Another surprise: the extension is now powered by DuckDB 🦆 https://t.co/xqVXFe4I6Y

Did you know that elephants can swim? Our newest extension, pg_lakehouse, transforms Postgres into a DuckDB alternative. pg_lakehouse makes it easy to join and move data between Postgres and data lakes like S3. https://t.co/KEWJn82nq4

ParadeDB has just reached 3K⭐️ on GitHub, roughly 7 months after the first commit. Thank you for following the project in its early days!

Our latest extension, pg_analytics, makes ParadeDB the world's fastest Postgres-based analytical database. It's 8x faster than Elasticsearch and nearly ties Clickhouse. It's our third installment in building an Elasticsearch alternative on Postgres. https://t.co/djbkSi7eLJ

We're excited to unveil pg_sparse, the first extension to enable sparse vector search using HNSW in Postgres. pg_sparse is to sparse vectors what pgvector is to dense vectors. It's our second step to building an Elasticsearch alternative on Postgres. https://t.co/B7hBnRtmNK

One month after announcing ParadeDB, we've crossed 1K Github stars 🎉⭐️ The core team is now building towards a managed cloud version. Head over to the waitlist for early access... https://t.co/S9HMiff8vt