Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire
Stream Postgres to Apache Iceberg on S3 via logical replication, queryable over the Postgres wire protocol. - GitHub - viggy28/streambed: Stream Postgres to Apache Iceberg on S3 via logical replication, queryable over the Postgres wire protocol.
Streambed – Stream Postgres to Iceberg on S3, Supports Postgres Wire launched on May 31, 2026 with 129 votes, #211 of 20,538 launches that month and more than 95% of that year's launches.
In plain words
Streambed is a tool that streams data from Postgres databases into Iceberg tables stored on Amazon S3. It supports the Postgres wire protocol, enabling direct connections to Postgres instances. The software is designed for data engineers and organizations needing to replicate Postgres data to cloud object storage in an open table format. Streambed provides a straightforward way to set up continuous data synchronization between relational databases and data lakes.
written from the facts on this page · September 2026
From the sources
Postgres-to-Iceberg CDC engine. Offload analytical queries from your production database without changing your application. streambed streams WAL changes via logical replication, writes Parquet files to S3, and commits Iceberg metadata. Query the result with any Iceberg-compatible engine -- or use the built-in query server, which speaks the Postgres wire protocol so you can connect with psql . Same analytical query on pgbench (1M accounts, 500K history rows). Postgres on the left, Streambed on the right. # Start Postgres + MinIO locally docker compose up -d # Build go build -o streambed ./cmd/streambed # Start syncing + query server on :5433 ./streambed sync \ --source-url= "…from github.com
Does a similar job
all alternatives →- PSPeerdb Streams – Simple, native Postgres change data capture2024 · ▲177
Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…
Pg_replicate – Build Postgres replication applications in Rust2024 · github.com · ▲216A high-performance Postgres replication engine written in Rust. Embed it in your Rust application or run it as a standalone binary. - supabase/etl
- PDPicoMQ – Durable Streams over HTTP, on object storageAug 2026 · picomq.com · ▲159
PicoMQ is a Rust server for Durable Streams, built on Object Store. Cheap, URL-addressable, granular streams (create/append/read/long-poll/SSE), with Pico Protocol or Durable Streams Protocol as the facade. S3Stream is the stream storage primitive, used in AutoMQ, shipped as a Rust library. Coordination is a command log in Postgres.
pgwire-replication - pure rust client for Postgres CDCJan 2026 · github.com · ▲46Lean tokio-based Postgres wire-protocol logical replication client (pgoutput) with TLS and SCRAM. - vnvo/pgwire-replication
Serverless Postgres2024 · github.com · ▲159This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris using background workers. I wouldn't recommend using this in production, but I think it's in a good spot to provoke some discussion and ideas. You can get it running…
BemiDB – Postgres read replica optimized for analytics2024 · github.com · ▲209Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
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