ScyllaDB is a specialty database for high-throughput workloads that require ultra-low latency. If you're operating real-time apps at global scale, ScyllaDB's efficient design enables unmatched price performance.
Our shard-per-core, close-to-the-metal architecture harnesses processor, memory, network, and storage innovation to maximize performance and use less infrastructure. The result: powerful performance at massive scale – for a fraction of the cost of other solutions.
ScyllaDB is an excellent choice for the scaling challenges that other databases can’t handle: processing millions of real-time interactions without sacrificing speed or reliability. It is API compatible with both Cassandra and DynamoDB to simplify migration.
ScyllaDB delivers millions of operations per second with predictable single-digit P99 latencies. Rest assured that your database won’t violate your SLAs or budget, no matter what load you throw at it.
We’ve been “battle-tested” in massive, business-critical deployments like Discord, Disney+, ShareChat, Epic Games, Strava, Zillow, and Palo Alto Networks.
With ScyllaDB’s unparalleled hardware efficiency and transparent, predictable pricing, users reduce their TCO up to 70% without compromising performance.
ScyllaDB allows you to scale beyond limits. We don’t impose any limits on item or partition sizes or throttle down your workload. And we offer true elasticity that’s faster than autoscaling.
ScyllaDB supports complex data models and evolving schemas for applications working with high-frequency access patterns over semi- or structured data, like session activity, real-time personalization, and user activity tracking.
ScyllaDB is optimized for high-volume writes. It eliminates centralized coordination, single points of failure, and write contention while automatically distributing data. This provides consistent, real-time performance across heavy-ingestion workloads like telemetry, sensor data, and event streaming.
ScyllaDB sits in the users’ critical hot path, delivering consistent response times. With ScyllaDB, teams consolidate database and caching infrastructure for frequently accessed workloads like user sessions, distributed caching, media streaming, and personalization.
ScyllaDB powers complex data-driven decisions with consistent performance across feature ingestion and real-time inference. This provides fresh context and high-quality data for critical workloads like real-time analytics, fraud detection, recommendation engines, and machine learning.
ScyllaDB minimizes your storage footprint with advanced compression and data expiration. It scales elastically from gigabytes to petabytes, letting you start small and grow cost-effectively. This is ideal for short- and long-term data retention workloads like logs, messaging systems, and activity feeds.