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Kolmos
OLAP Engine Comparison

Kolmos vs ClickHouse:
Specialized OLAP vs Unified Multi-Wire HTAP.

ClickHouse is legendary for raw analytical speed on append-only logs. Kolmos matches modern vectorized execution speed while providing native PostgreSQL, MySQL, and MongoDB wire protocols with instant row-level updates.

Feature & Architectural Comparison

Evaluating ClickHouse against the Kolmos unified database engine.

Capability
ClickHouse
Kolmos Cloud Database
Primary Use CaseSpecialized append-only OLAP analytics on structured telemetry / eventsUnified HTAP: Drop-in transactional CRUD + vectorized analytics
Protocol & EcosystemProprietary HTTP / TCP protocol + native ClickHouse clients3-in-1 Drop-In: PostgreSQL (5432), MySQL (3306), MongoDB (27017)
Row-Level MutationsHeavy, asynchronous background mutations (ALTER TABLE ... UPDATE)Crash-safe WAL supporting instant transactional row-level CRUD
Compression MechanismTraditional block compression (LZ4, ZSTD, Gorilla, DoubleDelta)Explanation Ladder (Autonomous Formula AST mining + k-medoids prototypes)
Object Storage IntegrationS3 disks supported, but best performance requires local SSD cachingCloudflare R2 native ($0.015/GB/mo) with zero data egress fees
Point Lookup AccelerationSparse primary indexes (scans blocks of 8,192 rows)In-memory PK Bloom filter sidecars isolating candidate segments in ~240µs

When to Choose ClickHouse

  • Petabyte-scale immutable append-only logs where updates/deletes never occur.
  • Existing pipelines and dashboards built exclusively around native ClickHouse clients.

When to Choose Kolmos

  • Applications needing transactional CRUD updates (INSERT, UPDATE, DELETE) alongside fast analytics.
  • Direct drop-in compatibility with PostgreSQL (Prisma, Django), MySQL, or MongoDB drivers.
  • Cutting physical storage costs on Cloudflare R2 without maintaining complex NVMe clusters.