EngineFresh runs directly on BigQuery and Databricks, so you can explore funnels, retention, and the full customer journey without duplicating a single event. Set a threshold on any metric and we'll tell you the moment it moves.
Activation rate down 12% vs last week.
We're currently onboarding a small group of design partners to help shape the product before a wider release.
Built first on BigQuery and Databricks, with Snowflake and Redshift support planned next.
Every query runs directly against your warehouse. We don't copy or store your event data.
Point EngineFresh at your BigQuery or Databricks instance and start exploring immediately. No event pipeline to stand up, no separate copy of your data to maintain.
See how people actually move through your product, from first touch to activation to churn, using the schema you already have.
Set a threshold on any metric and get notified the moment it moves, in Slack, email, or a webhook, before a small dip becomes a real problem.
A typical product analytics tool asks you to install an SDK, stand up a pipeline, and send your event data to live on someone else's servers. EngineFresh skips all of that and reads your warehouse directly.
Four steps, start to finish. No SDK to install, no pipeline to stand up, no data to migrate anywhere.
Grant EngineFresh read-only, scoped access to the schemas and tables you choose in BigQuery or Databricks. Nothing is copied out, and you can revoke it at any time from your own provider console.
Build a funnel, a retention window, or a journey map directly on the events and tables you already have. No new event format to adopt, no re-instrumenting your app.
Turn any metric into a watch rule: an absolute value, a percent change, or a comparison against a prior period. Set it once, EngineFresh checks it continuously.
The moment a threshold is crossed, EngineFresh tells you, wherever your team already works. No dashboard to remember to check.
Signup-to-activation rate down 12% vs last week.
2 minutes agoEngineFresh watches your key metrics continuously and routes alerts wherever your team already works.
Conversion rate dropped 34% in the last hour.
3 minutes agoSignup-to-activation rate down 12% vs last week.
22 minutes agoP95 latency back under 200ms.
1 hour agoEngineFresh queries your data where it already lives. No new copy, no new pipeline.
EngineFresh queries BigQuery and Databricks directly. We don't ingest, copy, or store your event data on our servers.
EngineFresh connects with the minimum access it needs, and nothing more. Revoke access at any time.
We're pursuing SOC 2 Type II certification alongside our design partner program, targeting early 2027.
For teams with stricter requirements, EngineFresh can run in a dedicated, single-tenant environment.
No. EngineFresh is closed-source, and we're building it with security and compliance as a first-class concern from day one rather than bolting it on later. If that ever changes, we'll say so here.
Most product analytics tools want a copy of your event data sent to them. EngineFresh queries your BigQuery or Databricks warehouse directly, so your data stays exactly where it already lives, and you're not maintaining a second copy of it.
Not yet. We're launching with BigQuery and Databricks first. Snowflake and Redshift support are next on the roadmap.
Read-only, scoped credentials limited to the schemas you choose. You can revoke access at any time, and nothing is copied out in the meantime. More detail on our security page.
Not right now, EngineFresh is a hosted product. That said, because we never copy your event data out, most of what people want from self-hosting (data control, no lock-in) is already true by default.
We're onboarding a small number of design partners now. Request early access below and we'll reach out as we open up the next batch.
We haven't published a rate card yet, on purpose, since pricing is still being shaped with our design partners. See our pricing page for how we're thinking about it, including why it's not priced per tracked user.
EngineFresh queries the schema you already have, it doesn't require a specific event format. Messy data is still visible in the query results, which is arguably more honest than a tool that silently reshapes it behind the scenes.
We're onboarding design partners in small batches so we can work closely with each team. Tell us about your setup and we'll reach out.