Productized event exports for your SaaS customers
Your largest customers keep asking for raw event data delivered to their own infrastructure. Build it once as a productized integration instead of as bespoke per-customer ETL.
The problem
Every enterprise customer eventually asks the same question: 'Can we get the raw events you collect about us, delivered to our data team?' The first time, your team writes a CSV export script and emails a file every week. The second time, it's a slightly different CSV. By the fifth customer, the integrations team is maintaining a constellation of one-off jobs that each break for different reasons, and the data team is asking for ownership of something they didn't sign up for.
The problem isn't that customers want their data, they're right to ask. The problem is treating each ask as a bespoke ETL job. Each new customer adds maintenance burden, each export drifts from the source of truth, and your engineering team's time gets consumed by integration plumbing instead of product work.
Customers also dislike the bespoke model. They wait days for setup, file tickets when schemas drift, and pay for engineering time on your side that they would rather get as a product feature.
How Pushrail solves it
Pushrail turns customer event exports into a configurable product feature. Your service emits canonical events once via Pushrail's ingest API. Customers configure a destination, their S3 bucket, BigQuery dataset, Snowflake warehouse, Kafka topic, or wherever else they want events delivered, through the dashboard or through an embedded portal in your app. Pushrail handles the delivery: batching, retries, schema mapping, replay, and observability.
The same canonical event lands in every customer's destination, transformed only by the per-destination adapter (NDJSON for object storage, streamed rows for warehouses, native messages for queues). Schema management is centralized: when you add a new event type, every customer's destination starts receiving it automatically.
Customers self-serve through your dashboard. Engineering's role shrinks to defining the event schema; the destination plumbing is handled.
What you ship to your customers
- An 'export your data' setting in your dashboard where customers pick a destination type and enter their credentials.
- Live event delivery with retries, idempotency, and a customer-visible audit log.
- Replay, customers can re-export historical events into a newly-connected destination.
- Per-destination health: customers see when their warehouse credentials expired or their bucket policy broke, without filing a ticket.
- No engineering involvement on your side after the initial integration.
What this replaces
- Bespoke CSV-export jobs that break when schemas change.
- One-off SFTP or email-the-file workflows that don't scale past a few customers.
- Engineering tickets for 'can we get our data?' requests.
- A growing maintenance surface of per-customer integration code.
Concrete walkthrough
- 1. Define your canonical event shape once. Pushrail's ingest API accepts your `eventType`, `payload`, `customerExternalId`, and the standard envelope fields.
- 2. Expose a 'Connect a destination' panel in your dashboard (or drop in the embedded portal, see /embed).
- 3. Your customer picks a destination type and enters credentials. Their data team gets write access to one bucket, dataset, or topic.
- 4. Pushrail starts delivering events. The customer sees a live log of every delivery, with per-attempt detail.
- 5. If a delivery fails, the credential expired, the bucket policy broke, the customer sees the error in your dashboard and can replay the affected window after fixing it.
Destinations this uses
Stream events directly into a customer's BigQuery dataset, table per event type or single wide table.
Continuous ingest into a customer-owned Snowflake table via Snowpipe-style staging.
Deliver events as NDJSON files into a customer-owned S3 bucket, batched, partitioned, and idempotent.
Stream batched NDJSON events into a customer-owned GCS bucket, same delivery model as S3, on GCP.
Related use cases
Stream product events into your customers' BigQuery, Snowflake, or ClickHouse, same canonical event, different destination.
Let enterprise customers point your events at their own infrastructure, close the ACV-driving deals without bespoke engineering.
Drop an embedded portal into your app where customers configure their own destinations, without building the portal yourself.
Frequently asked questions
How is this different from building a CSV export per customer?
A CSV-per-customer approach becomes a constellation of one-off jobs that drift from the source of truth and break individually. Pushrail uses one ingest call and one configurable delivery layer, so the same canonical event lands in every customer's destination, transformed only by the per-destination adapter.
Which destinations can customers export to?
Customers configure their own destination, an S3 bucket, BigQuery dataset, Snowflake warehouse, Kafka topic, and the other destination types Pushrail supports, through your dashboard or an embedded portal.
What happens when I add a new event type?
Schema management is centralized. When you add a new event type, every customer's configured destination starts receiving it automatically, with no per-customer integration work.
Can customers see and recover failed exports themselves?
Yes. Customers get a live, customer-visible delivery log with per-attempt detail and per-destination health, so they can see when a credential expired or a bucket policy broke and replay the affected window after fixing it, without filing a ticket.
Productized event exports for your SaaS customers
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