ScyllaDB revamps NoSQL database in 1.3 release

ScyllaDB has released into general availability a major update to its popular NoSQL database of the same name.

Announced at the first annual “Scylla Summit” at the Hilton San Jose yesterday, the company boldly proclaimed ScyllaDB 1.3 to be “the world’s fastest NoSQL database, delivering superior performance, high availability, horizontal scalability and low latency that organizations require for big data projects, high-volume ecommerce and AdTech applications, and Internet of Things (IOT) initiatives.”

Putting the marketing pitch aside for a moment, ScyllaDB is a relatively new NoSQL column store database that was first launched earlier this year. ScyllaDB’s biggest differentiator is that it’s compatible with the Apache Cassandra database APIs. As such, the creators claims that ScyllaDB can be used as a drop-in replacement for Cassandra itself, offering users the benefit of improved performance and scale that comes from the integration with a light key/value store.

The company says the new release is geared towards development teams that have struggled with Big Data projects, and claims a number of performance advantages over more traditional development approaches, including:

  • 10X throughput of baseline Cassandra – more than 1,000,000 CQL operations per second per node
  • Sub 1msec 99% latency
  • 10X per-node storage capacity over Cassandra
  • Self-tuning database: zero configuration needed to max out hardware
  • Unparalleled high availability, native multi-datacenter awareness
  • Drop-in replacement for Cassandra – no additional scripts or code required

Avi Kivity, ScyllaDB’s Chief Technology Officer, said in a statement that the company has worked hard to harden its database over the last year. And those efforts have now borne fruit, with the latest release being able to deliver consistently better performance than standard implementations of Cassandra with virtually effortless admin needed.

To back up its claims ScyllaDB points customers to a performance benchmark test that compares its own solution with a regular implementation of Cassandra, where it boasts of achieving 4.6 times more OPS than a standard Cassandra cluster.

Kivity spoke excitedly about some of the new capabilities available in version 1.3, including “tighter integration with graph databases, improved support for Thrift, Date Tiered Compaction Strategy, Large Partitions, Docker, CQL tracing, and much more.”

Those who’re interested in seeing it for themselves can download ScyllaDB 1.3 from here.

“ScyllaDB has quickly demonstrated significant progress in advancing NoSQL,” said Ben Slater, Chief Product Officer of Instaclustr, in a statement. “We have had several inquiries from customers interested in evaluating Scylla and it is clearly moving rapidly to being a technology worthy of consideration for many production workloads.”

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