One engine. Every job you were running five systems for.
Five things you get on day one, and how the engine delivers each.
Let AI Agents (literally) program your database
ScramDB is more than an agentic database. It is built with AI agents kept in mind. It has a literally direct interface for any AI agent to interact with and manipulate your data. Copy the prompt and let your AI agent start developing.
- Direct agent interface
- Copy the prompt
- Programmable
- Any PG driver
An agent connects like any Postgres client, then reads and writes your data directly.
Real-time Analytical Dashboards
Everything is snappy, instant, and always correct. While your applications and AI agents provide and generate data in your ScramDB environment, you see everything instantly. Create drilldowns and power your analytics on the very same live rows your writes just landed in.
- Instant
- Always correct
- Drilldowns
- One live copy
Analytical queries run across every CPU core and the GPU, on your live data.
Extremely durable & Disaster survivor
Power outages, crashes, and anything else your infrastructure can throw at it: ScramDB comes back with every committed transaction intact, and it puts itself back together without you on a call. Silent corruption is caught rather than served. And when the damage is something you did, point-in-time recovery takes you back to the moment before it went wrong, or branches the database as it stood back then so you can look without touching production.
- Survives power loss
- Self-healing recovery
- Point-in-time recovery
- Instant branching
Committed means committed. A crash rebuilds itself, and you can rewind to any moment before it went wrong.
Easy to manage & deploy
Autodiscovering nodes, cross-zone deployable, and tolerant to failures. You can literally have a single cluster spanning the whole world, and ScramDB can still serve transactions.
- Autodiscovering nodes
- Cross-zone
- Failure tolerant
- Global cluster
Nodes discover each other across zones, and the cluster keeps serving when one drops.
Autonomous Database
You know how hard databases are to operate: disk backups, tuning database-specific values, transaction timeouts, and everything else. ScramDB is a self-driving database. Its Ejder™ system drives it for you, optimizing resource costs and letting your database keep everything operational.
- Self-driving
- Ejder™
- Optimizes resource cost
- Stays operational
The engine reads its own workload and retunes itself as it runs, with no DBA in the loop.
An agent connects like any Postgres client, then reads and writes your data directly.
One database to rule them all.
Snowflake and Databricks spent a combined $1.25B concluding you need two systems plus a pipeline. ScramDB keeps the full PostgreSQL contract and does both jobs on one copy of your data, JIT-compiled, GPU-accelerated, built for AI-scale.
Search, vectors, and ML ship in the box.
Fifteen package families ship with the engine as capability-sealed, deterministic UDFs you call straight from SQL. Full-text, vector similarity, geospatial, clustering, regression, and streaming sketches, no extensions to compile, no sidecar services.
Tokenizing + BM25 relevance ranking
Cosine + dot over embeddings
Haversine distance + spatial cells
Clustering, regression + anomaly scoring
Cardinality, quantiles, heavy hitters
Masking, hashing + schema validation
From the engine room
Field notes from the team building ScramDB: what we ship, what we learn, and the occasional deep dive under the hood.
