> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chainbase.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Stream & Process Data

> Build custom blockchain data pipelines with Manuscript and Data Sync

Chainbase provides two approaches for building data pipelines: Manuscript for custom data processing, and Data Sync for streaming raw chain data to your infrastructure.

## Manuscript

Manuscript is a blockchain data streaming framework that lets you define data sources, transformations (SQL), and destinations in a single YAML file.

**Install and create your first pipeline:**

```bash theme={null}
curl -fsSL https://github.com/chainbase-labs/manuscript-core/raw/main/install-gui.sh | bash
./manuscript
```

With Manuscript you can:

* Select data from any supported blockchain on the Chainbase DA layer
* Transform data using standard SQL and Flink SQL functions
* Export results to PostgreSQL, MySQL, S3, and more
* Deploy locally or to the Chainbase network

Full reference: [Manuscript Documentation](/resources/manuscript/overview) | [QuickStart](/resources/manuscript/QuickStart/prerequisites)

## Data Sync

Stream real-time blockchain data directly to your own databases and storage systems:

* Complete historical data synchronized with Data Cloud tables
* Real-time incremental updates after initial sync
* Support for PostgreSQL, MySQL, S3, and other targets

Set up via the [Chainbase Console](https://console.chainbase.com/):

1. Select your data source and target storage
2. Choose data type (raw, decoded, or abstracted)
3. Configure sync frequency
4. Start syncing and monitor progress

Full reference: [Data Sync Documentation](/resources/platform/features/sync/overview)

## Next Steps

* [Explore All Products](/getting-started/explore-all-products) — See all Chainbase tools
* [Data Catalog](/catalog/overview) — Browse available data schemas
* [Data Cloud](/resources/platform/features/datacloud/overview) — Query data online before building a pipeline