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ScyllaDB’s underlying architecture enables it to consistently deliver P99 latencies in the low single-digit milliseconds, even under extreme load. Maintenance operations do not slow performance.
ScyllaDB uses a highly asynchronous, non-blocking design that takes full advantage of modern hardware architecture. It provides the throughput you need for even the most taxing workloads.
ScyllaDB has a unified cache and self-optimizes its performance, making it easier to use than Cassandra, which requires complex manual cache and JVM tuning.
ScyllaDB makes full use of your hardware infrastructure, minimizing node count and reducing administrative overhead.
ScyllaDB is a drop-in replacement for Cassandra. Keep all your existing client code — you can use your existing data models and queries using our CQL interface for Cassandra-like operations.
Aside simply performing far better, ScyllaDB’s implementation of CQL goes beyond Cassandra, adding new and improved features, like:
You get all this while keeping your development ecosystem the same: client drivers and big data frameworks like Apache Kafka® and Apache Spark™ all connect to ScyllaDB seamlessly.
ScyllaDB’s Cassandra-compatible CQL interface provides three key benefits to users:
Cost ScyllaDB can run your workloads more efficiently, meaning you do get the most out of your infrastructure. Even though both ScyllaDB and Cassandra are free open source NoSQL databases, the hardware you require to run them on is not. Because ScyllaDB can scale better vertically, you can run it on bigger nodes, reducing your node count to save further on related operational expenses. According to our benchmark, with ScyllaDB users can save up to 2.5X on their cloud vendor bills.