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Today we introduce TIN: a powerful and reliable full-text search extension for Postgres. TIN works with complicated WHERE clauses, replication, backups, and maintains correct transaction visibility. It's also mind-blowingly fast.

PlanetScale

43,945 subscribers

500,125 Aufrufe • vor 8 Tagen •via X (Twitter)

Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

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34 Kommentare

Profilbild von PlanetScale

PlanetScalevor 8 Tagen

Read more about TIN's performance and how to get started:

Profilbild von Holly Guevara

Holly Guevaravor 8 Tagen

🚨 BALLS ON PROD 🚨

Profilbild von incpo

incpovor 8 Tagen

You need PlanetScale Postgres to use TIN currently. There’s no public TIN source package or self-hosted installation method documented

Profilbild von AMB

AMBvor 8 Tagen

I understood Neki not being opensource. For this it's harder to swallow. Will it be in the future ? How can I work with this in a local pg for dev or testing if I can't access the extension ?

Profilbild von teej dv 🔭

teej dv 🔭vor 8 Tagen

Balls

Profilbild von nicolas lopes

nicolas lopesvor 8 Tagen

How does it compare with

Profilbild von Michael Ramos

Michael Ramosvor 8 Tagen

ah huge. It sucked not having BM25.

Profilbild von ricky b

ricky bvor 8 Tagen

sick

Profilbild von Samuel Bodin

Samuel Bodinvor 8 Tagen

@hollylawly can I have a ball chart against algolia please

Profilbild von pedro costa — oss/acc

pedro costa — oss/accvor 8 Tagen

i wasn't understanding the latency difference until I saw the balls, congrats guys

Profilbild von Anjul Sahu

Anjul Sahuvor 8 Tagen

@chrismunns @paradedb open source 💯

Profilbild von LumaByte

LumaBytevor 8 Tagen

committed rows searchable right away, love that

Profilbild von Austin

Austinvor 8 Tagen

@samlambert So much good stuff from y’all recently. First Neki now TIN, what’s next?

Profilbild von rekxor

rekxorvor 8 Tagen

@paradedb waiting for you folks on this 👀

Profilbild von Evan will fix your vibe-code

Evan will fix your vibe-codevor 8 Tagen

Oh no not turbopuffer! You were supposed to do Clickhouse

Profilbild von Vishal Anton

Vishal Antonvor 8 Tagen

it is fast, 10x is crazy.

Profilbild von Adam

Adamvor 7 Tagen

@hiradp vector search when

Profilbild von trent

trentvor 8 Tagen

Sure be cool if you open sourced this.

Profilbild von Ben S.

Ben S.vor 8 Tagen

How does it compare to ClickHouse FTS?

Profilbild von lewington

lewingtonvor 8 Tagen

having all that work properly with postgres makes it worth checking out

Profilbild von Jarosław Królik

Jarosław Królikvor 8 Tagen

Awesome stuff. Will this extension available outside PlaneScale?

Profilbild von Alex

Alexvor 7 Tagen

oh yeah, was waiting for this 🚀

Profilbild von J.G.Montoya

J.G.Montoyavor 7 Tagen

Open source when?

Profilbild von Naelo — 🇪🇺 eu/acc

Naelo — 🇪🇺 eu/accvor 8 Tagen

Does it work on @supabase ?

Profilbild von Tianyi-天轶

Tianyi-天轶vor 8 Tagen

Is it bm25?

Profilbild von Pranav Bobde

Pranav Bobdevor 8 Tagen

how does it compares to ElasticSearch?

Profilbild von Thierry

Thierryvor 8 Tagen

Great work.

Profilbild von Roman

Romanvor 8 Tagen

Benchmark metrics look cool, but how does TIN perform when users make frequent typos in the search query? Can it fully replace a pg_trgm + GIN setup for messy search inputs?

Profilbild von father stretch my bandz

father stretch my bandzvor 8 Tagen

hello paradedb prepare yourself and your enterprise license

Profilbild von Firat Özcan

Firat Özcanvor 8 Tagen

@BenjDicken please

Profilbild von kettybluce

kettyblucevor 7 Tagen

Fast full-text search is compelling, but the transaction-visibility detail is what stands out. Correctness under replication and backups is the hard part—great to see it treated as a first-class constraint.

Profilbild von Karan Sakhuja

Karan Sakhujavor 8 Tagen

How does it compare to `pg_search`

Profilbild von Nipsuli

Nipsulivor 8 Tagen

@0xblacklight Really nice write up! Love the details on how to lean into postgres internals to make it fast

Profilbild von Salise

Salisevor 8 Tagen

the fact that TIN maintains correct transaction visibility is really important for complex queries

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