Show HN: Filament – Fast data movement engine in Go

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Summary

Filament is a fast data movement engine in Go that provides pluggable data replication with checkpointing, batching, and integrity events for reliable and durable data pipelines.

Hi, I&#x27;m Leon one of the cofounders of Galaxy. We just open sourced Filament, our data movement engine.<p>Its written in Go and Apache 2.0 licensed. We currently support a handful of API connectors, Postgres, MySQL, ClickHouse, Iceberg, and S3.<p>We benchmarked Filament against a bunch of other open source data movement tools and results + the harness is available at <a href="https:&#x2F;&#x2F;github.com&#x2F;galaxy-io&#x2F;benchmarks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;galaxy-io&#x2F;benchmarks</a>.<p>This is just our first minor release of Filament and there is a ton to build. We are excited to shape our roadmap around your feedback. If you are willing to give it a try any feedback would be greatly appreciated!<p>Docs at <a href="https:&#x2F;&#x2F;filament.getgalaxy.io" rel="nofollow">https:&#x2F;&#x2F;filament.getgalaxy.io</a> and a longer blog post on why we built it at <a href="https:&#x2F;&#x2F;www.getgalaxy.io&#x2F;blog&#x2F;introducing-filament" rel="nofollow">https:&#x2F;&#x2F;www.getgalaxy.io&#x2F;blog&#x2F;introducing-filament</a>
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galaxy-io/filament

Source: https://github.com/galaxy-io/filament

Filament — pluggable data replication with checkpointing, batching, and integrity events

Release Tests License: Apache 2.0 DeepWiki Slack

Filament

Filament is pluggable data replication with checkpointing, batching, and integrity events.

It moves data from sources to sinks using full, incremental, or change data capture replication. Filament keeps progress durable as data moves, verifies batches on both sides of a write, and safely pauses or resumes runs from their checkpoints.

Sources, sinks, state storage, and event transport are replaceable interfaces. Run Filament as a service with its API and web UI, deploy it to your own infrastructure, or embed the engine in a Go application.

Install

curl -fsSL https://getgalaxy.io/filament/install | sh

On macOS via Homebrew

brew install galaxy-io/tap/filament

Prebuilt binaries for Linux and macOS are on the releases page.

Getting started

To run Filament locally, install Go, Docker, just, Node.js, and pnpm. On macOS, the repository’s Brewfile installs the toolchain:

brew bundle

For Podman users, set CONTAINER_ENGINE=podman to use Podman with the commands below. See engine configuration.

Start PostgreSQL and NATS, then run Filament:

just infra
just dev

Open http://localhost:5173 to use the web UI.

When you are finished, stop the local infrastructure with:

just infra down

Deploying Filament

Kubernetes with Helm is the recommended way to run Filament in production. See the Kubernetes deployment guide for installation instructions and the Helm chart README for all supported values.

For a simpler hosted deployment without Kubernetes, deploy with 1 click:

Deploy on Railway Deploy to Render Deploy to DO

Read the Railway, Render, and DigitalOcean guides for the deployed resources, runtime behavior, and production checklist.

The DigitalOcean deployment uses filament/standalone, an all-in-one image that includes the control-plane, server, and SQLite datastore.

How it works

A Filament pipeline connects a source to a sink and defines how selected resources should be replicated. During a run, Filament extracts records into bounded batches, writes and verifies each batch, and advances durable checkpoints only after successful work.

The runtime is event-driven: the server accepts pipeline and run requests, the control plane schedules and dispatches work, and workers execute individual runs. PostgreSQL stores durable state and NATS JetStream carries lifecycle events between components.

Developing Filament

Filament is written in Go, with a React and TypeScript web UI. Contributions to the engine, connectors, UI, deployment tooling, tests, and documentation are welcome.

See CONTRIBUTING.md for repository setup, code generation, tests, and pull request guidance.

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