Low-latency inference
Feature Store
at Scale
RAG, agentic, semantic
Vector Search
at Scale
50% lower cost
DynamoDB
Replacement
Stop C* migraines
Cassandra
Replacement
See how we help
Other Scaling
Challenges
Our low-level design plus adaptive capabilities for prioritizing latency-sensitive tasks keeps P99s predictably low
Sustain millions of ops/sec with low P99s. No item or partition size limits, no throttling down your workloads
Our pricing is consistent, transparent and highly competitive. High performance and low admin overheads keep costs down
To maximize server efficiency, each core acts independently as an isolated resource. All communication is async, without locking
Our specialized cache provides the control needed to deliver ultra-low latency without an external cache
Our IO scheduler prioritizes latency-sensitive tasks for peak performance. It’s autotuned to maximize concurrency
Ensure continuous operations with an active-active architecture and real-time replication
Scale up to harness the power of modern hardware and outwards for seamless global distribution with linear scalability
Our low touch configuration and dynamic tuning ensures peak performance. Just set it and forget it
Explore tradeoffs and strategies related to real-time AI at scale – including high-volume feature ingestion, fast retrieval, and low-latency vector search.
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