ScyllaDB offers a similar architecture, data format, and query language as Cassandra, but without Java and its expensive GC pauses. You can improve performance at scale with fewer nodes, reduced administration, and lower infrastructure cost. Switching from Cassandra to ScyllaDB is seamless, requiring minimal code modifications.
ScyllaDB was built for performance at scale, delivering lower latency and higher throughput via its close-to-the-metal design.
ScyllaDB requires fewer nodes to deliver better performance than Cassandra, resulting in significant cost savings and greater ROI.
Unlike Cassandra, ScyllaDB scales linearly as you add more nodes, thanks to its shared-nothing asynchronous architecture.
Keep your latencies predictable and low, even during maintenance operations such as node replacements, repairs, and topology changes.
Cassandra needs a lot of tuning and upkeep. ScyllaDB automatically tunes its own IO and CPU performance while simplifying administration.
ScyllaDB offers unique features like workload prioritization, which lets you co-locate workloads under a single cluster without compromising performance.
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Read how users compare ScyllaDB and Cassandra on G2.
ScyllaDB is a much more efficient database — we’re going from running 177 Cassandra nodes to just 72 ScyllaDB nodes. 
Comcast Xfinity improved user experience and shrank their cluster from 962 nodes with Cassandra to 78 nodes on ScyllaDB, reducing administrative overhead over 90%.
Learn why and how Discord’s persistence team completed their most ambitious migration yet: moving their massive set of trillions of messages from Cassandra to ScyllaDB.
Rakuten’s billion-item catalog 6x better performance while shrinking their cluster 70% moving from Cassandra to ScyllaDB. They also eliminated unpredictable latencies.
Fanatics replaced 55 nodes of Cassandra with just 6 nodes of ScyllaDB. Discover why the brand that powers all NFL, MLB, NBA, and NHL shops switched to ScyllaDB.
Expedia, the travel booking giant, reduced P99 response times from >80ms to <5ms after migrating to ScyllaDB NoSQL. They also got 3x the throughput while saving 35%.
GE Predix reduced administrative burden in their IIoT infrastructure to meet their SLAs, and shrank their Cassandra cluster of 75 nodes to just 15 nodes of ScyllaDB.
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