Our Awards recognize the impressive things our users are doing with Scylla. See all 9 winners and get a bit of color on their use cases.
Have a look at our new open source project that brings Amazon DynamoDB compatibility to Scylla
We set a new performance record with our scale-up/scale-out database.
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.
Benchmarks
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 then 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
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 then 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
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
YCSB Benchmark:
Scylla vs Apache Cassandra Using Only 3 Scylla Nodes
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
YCSB Benchmark:
Scylla vs Apache Cassandra Using Only 3 Scylla Nodes
Lockless implementation and an independent memory management stack remove the inefficient reliance on JVM or Linux page cache to deliver consistently low latency.
Automatic failover and replication across multiple nodes and data-centers makes for reliable fault tolerance.
Written in C++ to squeeze every bit of performance from hardware and allow up to 1,000,000 read/write operations per node.
Auto-sharding, homogeneous servers, and native multi-datacenter implementation allow seamless linear scaling without compromising on application downtime or performance.
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.
An open source database since day one, Scylla is backed by a growing community of contributors.
Workload conditioning provides an umbrella of dynamic scheduling algorithms to minimize database operation latency jitter and reduce compaction streaming and repair time.
C++ framework boosts effectiveness to capture up to 10x throughput over existing infrastructure, creating a powerful and efficient NoSQL database.
Fully automated and dynamic database tuning effectively manages internal resources, requires zero configuration, and enhances performance straight out of the box.
| What makes “a good” vs. a great database deployment? | Apache Cassandra | Scylla |
|---|---|---|
| High Availability | 
Cassandra: Multi-region and fault tolerant |
Scylla: Multi-region and fault tolerant |
| High Scalability |
Cassandra: Homogeneous nodes scale to hundreds of nodes per cluster |
Scylla: Homogeneous nodes scale to hundreds of nodes per cluster. Additionally, Scylla scales up with the number of cores in our server |
| Low Latency | 
Cassandra: Unpredictable and unbounded latency, mainly the result of the JVM’s GC |
Scylla: C++, shared-nothing and lockless novel design allows < 1 millisecond tail latency |
| High Throughput |
Cassandra: Limited per-node performance. Cannot fully exploit the disk/memory/cpus |
Scylla: Fully asynchronous core engine with shard-per-core architecture allows perfect scale-up |
| Less Management |
Cassandra: Intricate tuning, endless compactions and GC storms makes it hard to maintain |
Scylla: Out-of-the-box tuning, isolation and SLA between background and foreground jobs free DevOps time during day and lets them sleep at night |
November 4, 2019
October 16, 2019
Live Webinar: Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® and Scylla
ScyllaDB set to improve NoSQL database performance
November 8, 2019 | TechTarget
Why Database Software Has Been ‘Wasting’ Hardware
November 7, 2019 | Forbes
November 6, 2019 | Computer Weekly
Inside the new ScyllaDB feature toolbox
November 5, 2019 | IT Knowledge Exchange
ScyllaDB powers up Alternator: an open Amazon DynamoDB API
September 13, 2019 | Computer Weekly
ScyllaDB takes on Amazon with new DynamoDB migration tool
September 11, 2019 | TechCrunch
Scylla’s real-time NoSQL database tapped by ‘super app’
August 29, 2019 | ITKnowledgeExchange - a Tech Target Expert Community
When Scaling Data Infrastructure, Sometimes Greed Is Good
August 1, 2019 | The New Stack
ScyllaDB Gives Cohabitation of OLAP and OLTP A Shot
May 14, 2019 | Datanami
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