[](https://github.com/estuary/flow/actions)
[](https://go.estuary.dev/slack) | **[Docs home](https://docs.estuary.dev/)** | **[Free account](https://go.estuary.dev/sign-up)** | **[Data platform comparison reference](https://docs.estuary.dev/getting-started/comparisons)** | **[Contact us](https://www.estuary.dev/contact-us/)**
### Build millisecond-latency, scalable, future-proof data pipelines in minutes.
Estuary is the Right-Time Data Platform that integrates all of the systems you use to produce, process, and consume data.
Estuary unifies today's batch and streaming paradigms so that your systems
– current and future – are synchronized around the same datasets, updating in milliseconds.
With an Estuary pipeline, you:
- 📷 **Capture** data from your systems, services, and SaaS into _collections_:
millisecond-latency datasets that are stored as regular files of JSON data,
right in your cloud storage bucket.
- 🎯 **Materialize** a collection as a view within another system,
such as a database, key/value store, Webhook API, or pub/sub service.
- 🌊 **Derive** new collections by transforming from other collections, using
the full gamut of stateful stream workflow, joins, and aggregations — in real time.
Publish your data flows in Estuary's shared SaaS environment.
Or use a [private](https://docs.estuary.dev/private-byoc/private-deployments/) or [BYOC deployment](https://docs.estuary.dev/private-byoc/byoc-deployments/) for enterprise-ready security.
## Get started
Ready to try out Estuary? [Sign up](https://dashboard.estuary.dev/register)
for free to get started! 🚀
Have questions? We'd love to hear from you:
- Join our [Slack Community](https://go.estuary.dev/slack)
- Reach out [directly](https://go.estuary.dev/say-hi)
---

## Using Estuary
Estuary combines a low-code UI for essential workflows and a CLI for fine-grain control over your pipelines.
Together, the two interfaces comprise Estuary's unified platform.
You can switch seamlessly between them as you build and refine your pipelines, and collaborate with a wider breadth of data stakeholders.
* The UI-based web application is at **[dashboard.estuary.dev](https://dashboard.estuary.dev)**.
* Install the **flowctl CLI** using [these instructions](https://docs.estuary.dev/guides/get-started-with-flowctl/).
➡️ **Sign up for a free Estuary account [here](https://go.estuary.dev/sign-up).**
*See the [BSL license](./LICENSE-BSL) for information on using Estuary outside the managed offering.*
## Resources
- 📖 [Estuary documentation](https://docs.estuary.dev/)
- The docs source is not in this repo. Connector reference pages are in [estuary/connectors](https://github.com/estuary/connectors/tree/main/docs/reference/Connectors), and pull requests there are welcome.
- The other pages are in the `estuary/docs` repo, which is internal to the Estuary team. To report a problem with one of them, [open an issue](https://github.com/estuary/flow/issues/new?labels=docs) in this repo.
- 🧐 **Examples and tutorials**
- [Blog tutorials](https://estuary.dev/blog/tutorial/)
- Docs tutorials
- [Create a Basic Dataflow](https://docs.estuary.dev/guides/create-dataflow/)
- [PostgreSQL CDC Streaming to Snowflake](https://docs.estuary.dev/getting-started/tutorials/postgresql_cdc_to_snowflake/)
- [Real-time CDC with MongoDB](https://docs.estuary.dev/getting-started/tutorials/real_time_cdc_with_mongodb/)
- GitHub examples
- See our [example projects](https://github.com/estuary/examples) and demos
- Many [examples/](examples/) in this repo cover derivations, reductions, and other `flow.yaml` examples
## Support
The best (and fastest) way to get support from the Estuary team is to [join the community on Slack](https://go.estuary.dev/slack).
You can also [email us](mailto:support@estuary.dev).
## Connectors
Captures and materializations use connectors:
plug-able components that integrate Flow with external data systems.
Estuary's [in-house connectors](https://github.com/orgs/estuary/packages?repo_name=connectors)
focus on high-scale technology systems and change data capture (think databases, pub-sub, and filestores).
Estuary can run Airbyte community connectors using
[airbyte-to-flow](https://github.com/estuary/airbyte/tree/master/airbyte-to-flow), allowing us to support a greater variety of SaaS systems.
**See our website for the [full list of currently supported connectors](https://www.estuary.dev/integrations/).**
If you don't see what you need, [request it here](https://github.com/estuary/connectors/issues/new?assignees=&labels=new+connector&template=request-new-connector-form.yaml&title=Request+a+connector+to+%5Bcapture+from+%7C+materialize+to%5D+%5Byour+favorite+system%5D).
## How does it work?
Estuary builds on a real-time streaming broker created by the same founding team called [Gazette](https://gazette.dev).
Because of this, Estuary's **collections** are both a batch dataset –
they're stored as a structured "data lake" of general-purpose files in cloud storage –
and a stream, able to commit new documents and forward them to readers within milliseconds.
New use cases read directly from cloud storage for high-scale backfills of history,
and seamlessly transition to low-latency streaming on reaching the present.
- [Learn more about how Gazette works here](https://gazette.readthedocs.io/en/latest/index.html).
- [Learn more about how Estuary works here](https://docs.estuary.dev/concepts/).
### What makes Estuary so fast?
Estuary mixes a variety of architectural techniques to achieve great throughput without adding latency:
- Optimistic pipelining, using the natural back-pressure of systems to which data is committed.
- Leveraging `reduce` annotations to group collection documents by key wherever possible,
in memory, before writing them out.
- Co-locating derivation states (_registers_) with derivation compute:
registers live in an embedded RocksDB that's replicated for durability and machine re-assignment.
They update in memory and only write out at transaction boundaries.
- Vectorizing the work done in external Remote Procedure Calls (RPCs) and even process-internal operations.
- Marrying the development velocity of Go with the raw performance of Rust, using a zero-copy
[CGO service channel](https://github.com/estuary/flow/commit/0fc0ff83fc5c58e01a09a053419f811d4460776e).