Streaming analytics

Stream events into your customers' analytics database.

Stream data from your API into the tools your customers already use. Svix turns the events you already send into rows in their ClickHouse, BigQuery, Snowflake, or Redshift, ready to query as they happen.
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Let your customers query your API events in real time.

No manual pipelines

Connect your events directly to your customers' analytics database. No glue code, no extra steps.

Real-time data sync

No more batch jobs and delayed processing. Give your customers access to data as it's created to enable real-time experiences.

Stop building custom views

No more one-off dashboards, reports, and queries for every customer request. Give them the data and let them build their own.

Deliver to the database they already run

With built-in support for the most popular analytics databases, your customers can use the tools they already know and love.

From event to queryable row

Your events land as rows in their database table. A user-configurable transformation function can map each event payload field to a column.

Your API sends
{
  "eventType": "payment.failed",
  "payload": {
    "id": "pay_884",
    "amount": 4200,
    "reason": "card_declined"
  }
}
ClickHouse · analytics.events
select * from events order by time desc;
Event typeIDAmountTimepayment.failedpay_884420014:23:18payment.succeededpay_883100014:23:02payment.succeededpay_88275014:22:41

More Use Cases

See all Advanced Destinations
Data WarehousingStream events to S3, Snowflake, Redshift, and other storage.Audit LogsSend who did what to Elasticsearch or the bucket a customer's SIEM reads.OpenTelemetrySend events as traces to Datadog, Grafana, or any OTel backend.Polling and FIFOLet customers poll for events, or receive them in strict order.Message QueuesDeliver events to SQS, EventBridge, and RabbitMQ.

Which events can I stream?

Any event you already send as a webhook. Your customers choose which event types go to their database, the same way they subscribe an endpoint.

Which databases are supported?

ClickHouse, Google BigQuery, Snowflake, and Amazon Redshift. Your customer picks one in the App Portal, enters their own credentials, and points it at a table they've already created.

Can events match an existing table schema?

Yes. A transformation, a short JavaScript function, maps each event onto the columns your customer already uses, so the data fits their existing queries and dashboards.

Do I need to change how I send events?

No. You keep calling the same message API you use for webhooks. Your customers choose how they receive events in the App Portal.

Start sending webhooks today, no credit card required.

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