The Real-Time Big Data Database
Scale-up performance of 1,000,000 IOPS per node, scale-out to hundreds of nodes and 99% latency of <1 msec
The Real-Time Big Data Database
Scale-up performance of 1,000,000 IOPS per node, scale-out to hundreds of nodes and 99% latency of <1 msec
What Our Users Say
Customers and partners like IBM, Zenly, Snapfish, AdGear and more share their favorite things about Scylla.
SCYLLA SUMMIT 2018
SAVE THE DATE !
November 6-7 | Pullman San Francisco Bay Hotel
SCYLLA
SUMMIT
2018
SAVE THE DATE !
November 6-7 | Pullman San Francisco Bay Hotel
Benchmarks
Fasten your seatbelt
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 c3.2xlarge:
Throughput Results of Scylla 1.6 vs Apache Cassandra 3.0 Using Amazon Web Server c3.2xlarge
Samsung Benchmark:
Throughput of ScyllaDB vs Cassandra Using 2TB Data for Different YCSB Workloads
YCSB Benchmark:
Scylla vs Cassandra Using only 3 Scylla Nodes
AWS c3.2xlarge:
Throughput Results of Scylla 1.6 vs Cassandra 3.0 Using Amazon Web Server c3.2xlarge
Take Scylla for a Spin. Our Test Drive lets you quickly spin-up a running cluster of Scylla to see for yourself how it performs.
Benefits of Using Scylla
A true NoSQL database for the most demanding applications
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.
10x Higher Throughput
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
ScyllaDB has been open sourced since day one and 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 boots effectiveness to capture up to 10x throughput over existing infrastructure.
Auto Tuning
Fully automated and dynamic tuning effectively manages internal resource, requires zero configuration, and enhances performance straight out of the box.
No-Compromise Performance and Availability
Scylla's easy-to-use NoSQL database powers your applications with high availability and blazing fast performance.
| 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 |
Upcoming Events
PAST Events
In The News
ScyllaDB Announces Support for IBM Power Systems
June 6, 2018
NoSQL Database Company ScyllaDB Raises $10 Million Series C Led By TLV Partners
April 25, 2018 | Crunchbase
7 Design Decisions that Apache Cassandra’s Successor is Built On
April 4, 2018 | Open Source For You
ScyllaDB is better than Cassandra, and here’s why
April 1, 2018 | EPeak
Numberly on Evaluating Scylla for Production
March 2, 2018 | Ultrabug
Does It Make Sense to Do Big Data with Small Nodes?
February 22, 2018 | Inside Big Data
Scylla Eyes Cassandra’s NoSQL Workloads
February 13, 2018 | Datanami
Monster performance from IBM Compose for ScyllaDB powers IBM Cloud’s service catalog
February 8, 2018 | IBM Cloud Blog
A rock and a hard place: Between ScyllaDB and Cassandra
October 24, 2017 | ZDNet
Let’s do this
Getting started takes only a few minutes. Scylla has an installer for every major platform and is well documented. If you get stuck, we’re here to help.
Terms of Use Privacy Policy ©ScyllaDB 2018
Apache®, Apache Cassandra®, are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
