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.
Benchmarks
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
Test Scylla Performance in Minutes.
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.
Stadia Maps: Using Scylla to Serve Maps in Milliseconds
Scylla Open Source Release 4.1.2
Using Change Data Capture (CDC) in Scylla
August 7, 2020
Scylla Virtual Workshop
August 5, 2020
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August 13, 2020
Live Webinar: Keeping your application’s latency SLAs no matter what
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On-Demand Webinar: Getting started with Scylla NoSQL on Kubernetes
Discord Chooses Scylla as Its Core Storage Layer
July 22, 2020
How to Minimize Latency and Its Impact on UX
June 26, 2020 | DevOps.com
ScyllaDB Adds Amazon DynamoDB-compatible API to Database-as-a-Service Offering
June 10, 2020
Make Software Great Again: Can Open Source Be Ethical and Fair?
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Open source database ScyllaDB 4.0 promises Apache Cassandra, Amazon DynamoDB drop-in replacement
May 7, 2020 | ZDNet
ScyllaDB Announces 4.0 Release of Its Open Source NoSQL Database
May 7, 2020
ScyllaDB Extends Support for Streaming with High-Performance Apache KafkaTM Connector
February 18, 2020
Scylla review: Apache Cassandra supercharged
December 18, 2019 | InfoWorld
Getting started takes only a few minutes. Scylla has an installer for every major platform. If you get stuck, we’re here to help.