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

# Data Sync

> Configure data pipelines to export events, users, and query results on a schedule or on-demand to external destinations like S3, BigQuery, and webhooks.

Data Sync lets you set up data pipelines that export events, users, and query results to external destinations on a defined schedule or on-demand.

## Supported destinations

* **Google Cloud Storage (GCS):** Export directly to a GCS bucket. From there, you can load data into BigQuery for warehousing and analysis.
* **Amazon S3:** Export directly to an S3 bucket.

## What you can export

Export any data available in the Formo data warehouse, including:

* **Events:** Raw and processed event data.
* **Users:** User profiles with wallet data, attribution, lifecycle classification, and activity history.
* **Wallet Profiles:** Net worth, social profiles, onchain activity, token holdings, app interactions, and labels.
* **Segments:** Filtered user cohorts based on lifecycle, behavior, or custom criteria.
* **Arbitrary SQL:** If you can run it on the [Explorer](/features/product-analytics/explore), you can export it.

## Scheduling

Exports run on a cron schedule (e.g. `0 * * * *` for hourly) or can be triggered on-demand.

## Export formats

* CSV (default)
* NDJSON
* Parquet

Compression options: gzip, brotli, LZMA, zstd, or none.

## How it works

1. Configure a data pipeline with a SQL query defining the data to export.
2. Set a destination (GCS or S3 bucket) and schedule (cron expression).
3. Exports run automatically on schedule, writing files to the destination.

> 🚧 In development. <a href="https://cal.com/formo/30min">Reach out</a> to get early access. 🚧