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Introducing Supabase Pipelines. Your app runs on Postgres, but your analytics usually live somewhere else, like BigQuery. Pipelines keeps that data in sync for you in near real time, with no pipeline to build or maintain.

Supabase

209,469 subscribers

63,426 views • 3 months ago •via X (Twitter)

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21 Comments

Supabase3 months ago

It's built on Postgres logical replication, powered by our open-source engine, Supabase ETL. It runs the initial sync, replicates every insert, update, delete, and truncate, and keeps your destination schema in sync as your Postgres schema changes. BigQuery is live now. ClickHouse, Snowflake, and DuckLake are available on request. Read more:

Supabase3 months ago

Tune into our weekly livestream on Mondays at 23:00 UTC to ask questions and talk about Supabase Pipelines.

Mojeeb | Arcapush.com3 months ago

amazing! i’ll set this up, right away.

Tech PlusX3 months ago

👀👀

Hixon3 months ago

Love anything Supabase does

Jaya Nayak3 months ago

No more wasting engineering hours building custom data pipelines.

Layerbase3 months ago

Clickhouse on Layerbase has been a hit. Surprised it took this long

Samian3 months ago

so you're telling me my bigquery pipeline built on a cron job and a prayer was unnecessary this whole time

AI Mastery Guide3 months ago

Keeping Postgres and BigQuery in sync automatically saves so much hassle

Sebastian Buzdugan3 months ago

near real time breaks first on schema drift not raw replication speed

skellertor3 months ago

Glad I was forced to use you for a project. Never looking back now

Marco3 months ago

Right now im using GCP DataStream for this. Is this in any way better, faster or cheaper?

Hussain Fakhruddin3 months ago

No pipeline to build or maintain is the real win.

Carmelo schepis3 months ago

why sync when you could just not

Mathieu Kessler3 months ago

No pipeline to build or maintain is the real win.

Fabio Lauria3 months ago

Most teams waste weeks shuffling data between systems instead of analyzing it. The real bottleneck isn't the pipeline—it's converting synced data into actionable decisions quickly enough to drive impact. I focus on delivering insights in minutes, not days waiting for analytics teams to surface them 📊

Guru Meditation3 months ago

Is that similar to ClickPipes?

Camaleón Raro3 months ago

real-time pipelines without building one is the actual unlock. most teams i know spend 60% of analytics eng time on the sync layer the failure mode nobody talks about: schema drift between postgres and bigquery. thats where every pipeline I've seen buckle after 3-4 months

MixRoute AI3 months ago

Love to see any new features Supabase adds.

Emile Kratiroff3 months ago

No app big enough to have analytics on big query runs on supabase

Valenciana3 months ago

@grok what does this mean for my backend in simple terms

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