We are building Kolmos to solve the fundamental inefficiency in big data infrastructure: storing raw redundant bytes instead of intelligent data logic.
Modern enterprises pay millions of dollars storing petabytes of data on Amazon S3 and cloud warehouses. Yet up to 80% of those bytes are mathematically predictable derivations of other columns.
Kolmos was created by database systems engineers to prove that by optimizing data representation, we can achieve up to 3× compression gains while dramatically accelerating analytical queries.
Our multi-year technical roadmap for Kolmos engine development.
Built KSF1 binary format, Rung 0/1/2 explanation ladder, FastCDC content-addressed store, and blake3 cryptographic integrity verification.
Integrated Apache DataFusion 54.1 SQL engine, Postgres/MySQL/Mongo source connectors, and pgwire protocol server.
Sandboxed wasmtime decoder covenants, Workload compiler, Actuarial synopsis store, and Cloudflare R2 object storage integration.
Fast WAL write-buffer, row-level DML mutations, MySQL & MongoDB native wire listeners, and global cloud provisioning.