Data warehousing

Stream events to your customers' data warehouse.

Customers who analyze your data shouldn't have to build a pipeline to get it. Svix delivers the events you already send straight to their object storage or analytics database.

No pipeline for your customers to build.

Getting webhook data into a warehouse usually means your customer runs a listener, buffers events, and writes a loader. With a warehouse destination, Svix can handle sending the events directly.

Simple ETL

Your customer has no ETL job to write, schedule, or keep running. Events go from your API straight into their warehouse.

Real-time

Events are streamed in real-time, with batching and retries ensuring high availability and throughput.

No export API to build

Let your customers store their events and analyze them as they see fit.

Store events as database rows or blob storage files

The Snowflake and Redshift destinations insert a row per event. The object storage destinations write them to a bucket as JSON Lines files.

Your API sends
{
  "eventType": "invoice.paid",
  "payload": {
    "id": "inv_123",
    "amount": 1000
  }
}
Snowflake · ANALYTICS.PUBLIC.EVENTS
select * from events order by created_at desc;
IDEVENT_TYPEAMOUNTCREATED_ATinv_123invoice.paid100014:23:18inv_122invoice.paid420014:21:02inv_121invoice.paid75014:18:45
Your API sends
{
  "eventType": "user.created",
  "payload": {
    "id": "usr_42",
    "plan": "pro"
  }
}
Amazon S3 · acme-events
KeySizeLast modifiedevents-20261026-142318.jsonl2.1 KB14:23:18events-20261026-142113.jsonl1.8 KB14:21:13
events-20261026-142318.jsonl{"eventType":"user.created","payload":{"id":"usr_42","plan":"pro"}}{"eventType":"user.created","payload":{"id":"usr_43","plan":"free"}}

Which data warehouses and object stores can Svix deliver to?

Amazon S3, Google Cloud Storage, and Azure Blob Storage for object storage, and Snowflake and Amazon Redshift for analytics. Your customers pick a destination and enter their own credentials in the App Portal.

What format are the events written in?

Object storage destinations write each batch as one object, in JSON Lines by default, with a timestamp added to the key so batches never overwrite each other. Snowflake and Redshift insert a row per event with the insert time and the raw payload.

Can events be loaded into a custom table schema?

Yes. A transformation, a short JavaScript function, turns each batch into the SQL insert your customer's table needs, so payload fields map straight to their own columns.

How often are events written?

Svix sends events in real-time, in batches configured by the receiver. Batching ensures high availability and throughput.

Do I need to change how I send events?

No. You keep calling the same message API. Your customers configure how they want to receive them in the Application Portal.

Start sending webhooks today, no credit card required.