Scylla Blog

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Posts with tag "Cassandra"

Sep19

Scylla Open Source Release 2.3

Scylla Release

The Scylla team is pleased to announce the release of Scylla 2.3, a production-ready Scylla Open Source minor release. The Scylla 2.3 release includes CQL enhancements, new troubleshooting tools, performance improvements and more. Experimental features include Materialized Views, Secondary Indexes, and Hinted Handoff (details below). Starting from Scylla 2.3, packages are also available for Ubuntu 18.04 and Debian 9. Scylla is an open source, Apache Cassandra-compatible NoSQL database, with superior performance and consistently low latency. Find the Scylla 2.3 repository for your Linux distribution here. Our open source policy is to support only the current active release and its predecessor. […]

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Aug30

See Us at Distributed Data Summit 2018

Distributed Data Summit

ScyllaDB is a diamond sponsor at the upcoming Distributed Data Summit in San Francisco on September 14th. Come see us!

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Aug7

The Mutant Monitoring System Scylla Training Series

The Mutant Monitoring System series has come to an end. In this post, we will summarize each day of the training series and explain what readers can learn.

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Aug2

AdGear and ScyllaDB at the Big Data Montreal Meetup

AdGear joined us at the Big Data Montreal meetup and we discussed Real-time Data at Scale and how we helped them achieve their goal of 1 million queries per second.

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Jul6

New Benchmark: Scylla 2.2 (i3.Metal x 4-nodes) vs Cassandra 3.11 (i3.4xlarge x 40-nodes)

  Benchmarking is no easy task, especially when comparing databases with different “engines” under the hood. You want your benchmark to be fair, to run each database on its optimal setup and hardware, and to keep the comparison as apples-to-apples as possible. (For more on this topic, see our webinar on the “Do’s and Don’ts of Benchmarking Databases.”) We kept this in mind when conducting this Scylla versus Cassandra benchmark, which compares Scylla and Cassandra on AWS EC2, using cassandra-stress as the load generator. Most benchmarks compare different software stacks on the same hardware and try to max out the throughput. […]

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May18

Ola Cabs on Their First Two Years of Using Scylla in Production

Ola Cab

Ola Cabs shares their two-year journey with Scylla and how it lived up to their expectations. Learn how they graduated from using Scylla for very simple and non-critical use cases to running it for their mission-critical flows.

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May2

Intel’s Memory Group on the Advantages of Scylla

intel

The Intel Memory Group is behind the revolutionary Optane SSD drive that provides breakthrough performance and is 5-8x faster at Low Queue Depths than traditional SSD’s. Intel began working with ScyllaDB staff last year to build a big memory system at high-volume scale. They chose Scylla because they needed a solution that can fully leverage the hardware to derive the best possible performance.

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Apr26

Mutant Monitoring Systems (MMS) Day 9 – Interacting Programmatically

mms

Learn how developers create applications that connect to databases by using the Cassandra libraries available for programming languages. In this post you will learn how to create a sample Node.js application in Docker that connects to the Mutant Monitoring System.

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Apr17

Voice of Experience: Samsung SDS Chooses Scylla

samsung

Samsung SDS is a global IT services and solutions company with 57 offices spread across 31 countries. They are tasked with implementing highly performant and scalable systems for a number of Samsung businesses. However, they were experiencing a number of issues at the database layer. For example, their relational database couldn’t meet the performance requirements of several business use cases. As a result, they decided to conduct an in-depth technical evaluation of NoSQL databases.

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Mar8

Learn How to Build a Time Series Database

time series

What fascinates me most about databases is how they can be used for storing time series data. This use case is important for Internet of Things (IoT) devices and data analytics. Everyone should at least be able to relate to a time series database use case as many are likely to have devices in their home collecting and sending data such as a smart thermostat or phone or wrist device gathering your fitness activity. Wouldn’t it be nice to know how the infrastructure works behind the scenes and how to create a time series database? In this post, I will […]

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