Most databases are built to run any query. SynnoDB builds one for yours: it studies your workload, writes and compiles a specialized C++ engine, and optimizes it until it's order-of-magnitude faster than general-purpose systems — automatically, with no DBA in the loop.
Install the package, then synthesize an engine for your own workload.
$ synnodb synthesize --workload queries.txt --data data.parquet # the agent designs storage, writes C++, compiles, and verifies vs DuckDB ✓ analyzed 22 queries · designed bespoke storage layout ✓ generated + compiled engine · validated against DuckDB (all correct) ✓ optimized hot paths over 3 iterations → 11.78× faster than DuckDB · synthesized in minutes for ~$10
We synthesized analytical engines for TPC-H and CEB. Run them live in your browser, or look inside to see exactly what SynnoDB produces for a workload.
Connect to a server running the actual SynnoDB-generated C++ engine on TPC-H data. Pick any query, tweak parameters, and watch real execution times next to DuckDB and Umbra.
Step through how the engine was built: workload analysis, the bespoke storage layout, the generated C++ per stage, the DuckDB query plan, and the code changes between stages — query by query.
One-size-fits-one engines, built automatically for your data and queries.
Specialised storage layouts and hand-tuned-quality C++ kernels eliminate the overhead of general-purpose engines — 11.78× over DuckDB on TPC-H, every query faster.
An LLM agent designs the layout, writes the engine, compiles it, and verifies correctness against DuckDB — in minutes to hours, for about $10 in API cost. No DBA required.
Point SynnoDB at your SQL templates and schema; it builds an engine specialised to those access patterns — column encodings, sort orders, and join artifacts chosen for you.