stratif.io
stratif.io: A self-hosted analytics dashboard for teams querying warehouse event data directly. Ranked #28 of 45 in Product Analytics Tools by our editors (6.4/10); pricing: Open source; best for self-hosted SQL and warehouse analytics.
At a glance
- Editor score6.4 / 10
- PricingOpen source
- Best forSelf-hosted SQL and warehouse analytics
- Paid fromFree
- Facts checked21 Sep 2026
Where it wins
- Funnels, retention, journeys, trends, profiles, and pivots
- Direct connections to six databases and warehouse platforms
- SQL Studio with generated SQL inspection
Where it doesn't
- Requires event data to already reside in a supported database
- Self-hosted deployment requires server management
- No warehouse export workflow
Our verdict on stratif.io
stratif.io is an open-source, self-hosted product analytics dashboard for teams whose event data already lives in a data warehouse or supported database. It runs as a lightweight server with a browser-based dashboard and connects directly to DuckDB, PostgreSQL, ClickHouse, Snowflake, Databricks, and SQLite. The product is aimed at teams that want to query existing event data without an ingestion pipeline or intermediate storage, rather than teams looking for a hosted analytics service with its own data collection layer.
Its strongest fit is the combination of warehouse connectivity and broad analysis options. Teams can examine sequential conversion and drop-off through funnel analysis, compare return rates in retention cohort tables, trace user journeys and paths, and review event trends by daily, weekly, or monthly granularity. User profiles, chronological event histories, raw event exploration, property filtering, pivot tables, and global date, device, and custom filters extend the dashboard beyond a single reporting view. Support for both web access and self-hosted deployment suits organizations that want their analytics environment close to their existing data systems.
SQL Studio and generated SQL inspection make the product particularly relevant to SQL-oriented analytics teams. These tools provide a direct way to inspect how dashboard queries are represented while keeping analysis connected to the underlying database. The trade-off is that stratif.io is centered on data that already resides in one of its supported systems, and its self-hosted model places deployment and operation within the team’s environment. Choose it for open-source, warehouse-connected product analysis with SQL visibility; consider an alternative if you need warehouse export, a hosted-first workflow, or a broader data platform outside the listed integrations.
Your product? Our editors can test stratif.io in depth and publish a review, labelled as paid · from $149/mo →
stratif.io pricing
stratif.io fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Funnel reports | Yes |
| Retention and cohorts | Yes |
| Session replay | Not verified |
| Warehouse export | Not verified |
| Primary pricing metric | Not verified |
| Supported platforms | Not verified |
| Deployment | Self-hosted, Cloud |
| Platforms | Web, macOS, Linux |
| Support | Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: DuckDB, PostgreSQL, ClickHouse, Snowflake, Databricks |
| Pricing | Open source |
| Website | stratif.io |
| Facts checked | 21 Sep 2026 |
stratif.io integrations
stratif.io lists 5 integrations on its own site.
- DuckDB
- PostgreSQL
- ClickHouse
- Snowflake
- Databricks
Alternatives to stratif.io
- AmplitudeBroad product analytics with activation, experimentation, replay, and a permanent free tier.9.4
- MixpanelA broad product analytics suite with a generous free plan and usage-based growth options.9.2
- HeapAutomatic capture, behavioral analysis, and warehouse connectivity for product teams.9.0
See all stratif.io alternatives →
Also Ranked In
stratif.io is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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