Product Analytics
The full report suite, from multi-step funnels and cohort grids to RFM, live activity and shared dashboards.
Understand
Real SQL over raw events, on-demand export, warehouse sync, real-time streaming and a self-hosted option.
Who started checkout twice this week without buying?
1SELECT user_id, count(*) AS checkouts2FROM events3WHERE event_name = 'checkout_started'4 AND occurred_at > now() - interval '7 days'5 AND user_id NOT IN (6 SELECT user_id FROM events7 WHERE event_name = 'order_completed'8 AND occurred_at > now() - interval '7 days')9GROUP BY 110HAVING count(*) >= 211ORDER BY 2 DESC;| user_id | checkouts | last checkout_started |
|---|---|---|
| u_5f2a | 4 | 2h ago |
| u_9b71 | 3 | 5h ago |
| u_31c8 | 3 | yesterday |
| u_4a10 | 2 | yesterday |
| u_88e3 | 2 | 3d ago |
Overview
The single loudest complaint from teams leaving legacy engagement platforms is that their own data is locked inside someone else's query language. Edverix stores events in Postgres, gives you a SQL console with saved queries, syncs to your warehouse without an intermediate bucket, and lets you take everything with you at any time.
Only on Edverix
Real SQL over raw events and profiles, with saved queries, sharing and a query history.
An analyst's query becomes a campaign audience directly, with no export or CSV handoff.
A question in, the answer and the SQL it ran out, so you can verify it.
Capabilities
11 capabilities in 3 groups, organised the way the product is.
Real SQL over raw events and profiles, with saved queries, sharing and a query history.
An analyst's query becomes a campaign audience directly, with no export or CSV handoff.
A question in, the answer and the SQL it ran out, so you can verify it.
Events and profiles on demand, filtered with fourteen operators and paginated, not a scheduled dump you wait a day for.
S3, Google Cloud Storage or Azure in JSON, CSV or Parquet, on a schedule, with folder conventions you control.
BigQuery, Snowflake, Redshift and Databricks, without a bucket hop.
Every event to your own pipeline as it happens, through Kafka-compatible or EventBridge targets.
Full export in a documented schema, on demand, with no notice period and no support ticket.
Run the whole platform in your own cloud for regulated workloads.
Every outgoing message archived to your own bucket in real time.
HMAC-signed, retried with backoff, with a circuit breaker so a broken endpoint never becomes a backlog.
FAQ
Yes. Warehouse sync lands events and profiles as tables you own, and the SQL console can read from views you expose to it.
No. It is the same platform deployed into your cloud account, with the same dashboard, SDKs and API.
Get started
Send your first event in an hour, simulate your first journey against real history, and keep every byte of it in a database you can query.