Tools are selected for outcomes, implemented with depth.
Stratorys is tool-opinionated at delivery time and outcome-opinionated at decision time. Rust, PostgreSQL, ClickHouse, and DataFusion are applied where they improve latency, reliability, and cost under real production pressure.
Rust
Core services and performance-critical paths
Used where teams need fast iteration and production safety: Rust compiler feedback and strong static typing help you think clearly and ship with confidence.
- Fast feedback from compiler diagnostics
- Strong static typing that catches integration mistakes early
- Confident refactoring with fewer runtime surprises
Decision framing
Every stack decision is tied to one operational thesis: what will improve response speed, incident recovery quality, or cost per workload.
We do not ship stack changes without explicit ownership and rollback strategy.
PostgreSQL
Transactional core and operational data foundation
Used where data integrity, schema evolution, and dependable operational workloads need to stay maintainable as scale increases.
- Strong relational model
- Mature indexing and query planning
- Reliable extension ecosystem
Decision framing
Every stack decision is tied to one operational thesis: what will improve response speed, incident recovery quality, or cost per workload.
We do not ship stack changes without explicit ownership and rollback strategy.
ClickHouse
Observability and analytical workloads
Used for high-volume analytical queries where low-latency slicing and cost efficiency both matter.
- Columnar performance at volume
- Strong SQL analytics ergonomics
- Lean scaling for event-heavy datasets
Decision framing
Every stack decision is tied to one operational thesis: what will improve response speed, incident recovery quality, or cost per workload.
We do not ship stack changes without explicit ownership and rollback strategy.
DataFusion
Custom execution and query layers
Used when teams need custom execution behavior on Arrow-native datasets beyond database defaults.
- Arrow-native execution model
- Composable and extensible query plans
- Strong fit with Rust-based platform internals
Decision framing
Every stack decision is tied to one operational thesis: what will improve response speed, incident recovery quality, or cost per workload.
We do not ship stack changes without explicit ownership and rollback strategy.
Stack rules used in client delivery
- • Choose by operational constraints, not trend cycles.
- • Keep ownership with the team that runs production incidents.
- • Only introduce new components when they reduce measurable risk or cost.
Third-party trademarks
- • Rust and Cargo names and logos are trademarks of the Rust Foundation.
- • Postgres, PostgreSQL, and the Slonik logo are trademarks or registered trademarks of the PostgreSQL Community Association of Canada.
- • ClickHouse is a registered trademark of ClickHouse, Inc.
- • Apache DataFusion, Apache, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.
- • Use of these marks does not imply endorsement by their owners.
Sources: Rust Foundation policy, PostgreSQL trademark policy, ClickHouse trademark policy, DataFusion
Need a stack decision grounded in production reality?
Share your current architecture constraints by email or book a short call to review tradeoffs together.