Hotdata vs Databricks

4.5× faster than Databricks

On half the hardware.

At a glance

Topic	Hotdata	Databricks
What it is	A Rust query engine built for low latency at high concurrency.	A lakehouse platform.
Where data lives	Queries Delta Lake and Unity Catalog tables in place.	Delta Lake and Iceberg tables in your storage.
Deployment	In your VPC, run by us. Or fully managed.	Managed, with compute in your cloud or theirs.
Pricing	Compute runs only while queries run.	DBUs, plus your cloud bill.
Concurrency	4.5× faster than Databricks with 10 concurrent clients.	Adds clusters as queries grow, at extra cost.
Snapshots and copies	Snapshots, time travel, and forks.	Delta clones and time travel.
Search	Vector, full-text, and geospatial in one SQL query.	Vector search as a separate service.
SQL	Postgres-familiar HotSQL. PostgreSQL, DuckDB, Snowflake, and ClickHouse SQL run as written.	Spark SQL.

4.5× faster than Databricks, with 10 clients querying at once.

p95 query latency

You need answers 4.5× faster, on half the hardware.
Apps send bursts of short queries, and paying for a warehouse to idle between them adds up.
You want your lakehouse queryable in milliseconds, without risk of changing it.
You want vector, full-text, and SQL filters in one query.

Connect Databricks and Unity Catalog as read-only sources. Your lakehouse stays the source of truth.

We deploy Hotdata into your own VPC and operate it for you. If you would rather not run any infrastructure, a fully managed option is also available.

Security: Your data stays in your own cloud account. You keep control of the infrastructure, access, and keys.
Performance: Hotdata runs in the same network as your databases and object storage, so reads stay inside your cloud.