ParadeDB is an Elasticsearch alternative built on Postgres. We're modernizing the features of Elasticsearch's product suite, starting with real-time search and analytics.
ParadeDB的外部链接
US，New York，New York，10016
Tune in below to watch one of our founders discuss how ParadeDB is built and how you can get started hacking on Postgres yourself.
I had no idea how drastically you can alter the behaviour of #Postgres until I spoke with this week's podcast guest, Philippe No?l. Join us as he explains using #Rust to create custom indexes, columnar table storage engines, and beyond... https://lnkd.in/er6n8qcY
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://lnkd.in/gUWv3857
ParadeDB is proud to partner with INSA Strasbourg to power a new research database for scientific publications: https://lnkd.in/dq5wBeAN
ParadeDB转发了
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. Eric brings a wealth of experience at the intersection of full-text search, PostgreSQL Global Development Group, and Rust. In many ways, ZomboDB is the precursor project to ParadeDB and this feels like the natural next step in our shared journey. Eric has changed the Postgres world forever. The majority of startups working on Postgres today do it via extensions, and they do it via pgrx. This includes ParadeDB, PostgresML, Timescale, Tembo, Supabase and many others. Without Eric and pgrx, ParadeDB would not have been possible. Zombo inspired us and others to build high-quality Postgres extensions and pgrx is the foundation upon which a large chunk of the future of the Postgres ecosystem is being built. Eric will continue maintaining pgrx alongside his work at ParadeDB. We're proud to be able to give back to pgrx and ParadeDB is committed to contributing, albeit in a small way, to a healthy future for pgrx. We're excited for ParadeDB to carry the torch that Eric and ZomboDB ignited many years ago, and for Eric to be a part of our journey. Great things are coming. I can't reveal everything just yet, but you'll want to follow along. Star us and follow us on Twitter for updates. This brings our team to a total of 4: - Ming, my co-founder and our CTO - Neil, our lead pg_search architect - Eric, our resident Postgres expert - And myself (hi!) If you want to work on Postgres and help build the world's best search and analytics database, come say hi! Until then, back to work. You can find us all hanging out. over here: https://lnkd.in/gmn_q8Mg ? out
We believe that picking AGPL is one of the best decisions we've made for the company. Here's why: https://lnkd.in/e-h49gwW
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://lnkd.in/eHpYRjPY #Postgres #Databases #Search #Elastic
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://lnkd.in/g7BuuY6M
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://lnkd.in/eTC_A6uX #postgres #sql #datalake
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://lnkd.in/epwXiq4K
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://lnkd.in/guC-ksDi