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Scylla Open Source 4.0

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Scylla wins InfoWorld Technology of the Year Award

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Scylla is a drop-in Apache Cassandra alternative big data database that powers your applications with ultra-low latency and extremely high throughput, while reducing TCO to a fraction of most NoSQL databases.

We reimplemented Apache Cassandra from scratch using C++ instead of Java to increase the raw performance and utilization of modern multi-core servers and, through self-tuning and improved uptime, minimize the overhead to DevOps. Scylla provides the NoSQL database platform your applications require to scale out and up linearly.

Hear from Comcast about improving performance while reducing their node count from 962 to 78

Benchmarks

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Scylla Cloud easily outperforms AWS DynamoDB in a wide range of tests, at a lower cost, with no vendor lock-in.

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AWS i3.metal Benchmark:
Comparing Scylla on 4 i3.metal nodes versus Apache Cassandra on 40 nodes of i3.4xlarge

Samsung Benchmark:
Throughput of ScyllaDB vs Apache Cassandra Using 2TB Data for Different YCSB Workloads

Scylla Cloud easily outperforms AWS DynamoDB in a wide range of tests, at a lower cost, with no vendor lock-in.

Scylla Cloud is faster and costs less than Google Cloud BigTable. Scylla Cloud uses 1/10 the number of servers at BigTable to achieve the same performance.

AWS i3.metal Benchmark:
Comparing Scylla on 4 i3.metal nodes versus Apache Cassandra on 40 nodes of i3.4xlarge

Samsung Benchmark:
Throughput of ScyllaDB vs Apache Cassandra Using 2TB Data for Different YCSB Workloads

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Test Scylla Performance in Minutes.

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Low and Consistent Latency

Lockless implementation and an independent memory management stack remove the inefficient reliance on JVM or Linux page cache to deliver consistently low latency.

Always-On Availability

Automatic failover and replication across multiple nodes and data-centers makes for reliable fault tolerance.

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Written in C++ to squeeze every bit of performance from hardware and allow up to 1,000,000 read/write operations per node.

Highly Scalable

Auto-sharding, homogeneous servers, and native multi-datacenter implementation allow seamless linear scaling without compromising on application downtime or performance.

Easy to Use

Apache Cassandra’s wire protocol, a rich polyglot of drivers, and integration with Spark, Presto, and Graph tools make for resource-efficient and performance-effective coding.

Community Backed

An open source database since day one, Scylla is backed by a growing community of contributors.

Compaction, Streaming and Repair Solved

Workload conditioning provides an umbrella of dynamic scheduling algorithms to minimize database operation latency jitter and reduce compaction streaming and repair time.

Optimum Total Cost of Ownership

C++ framework boosts effectiveness to capture up to 10x throughput over existing infrastructure, creating a powerful and efficient NoSQL database.

Auto Tuning

Fully automated and dynamic database tuning effectively manages internal resources, requires zero configuration, and enhances performance straight out of the box.