Scylla Blog

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Posts with tag "performance"

Jul26

Exploring How the Scylla Data Cache Works

In this post, we will explore how the Scylla data cache works and will compare the performance results to Cassandra and earlier Scylla releases.

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Jul19

Measuring Performance Improvements in Scylla 2.2

Scylla Prometheus

Scylla 2.2 is a great release. As promised, we will share the performance results for this release and compare it to the previous version of Scylla.

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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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Jul3

Case Study: Grab Hails Scylla for Performance and Ease of Use

case study

Scylla came out on top and is now in production at Grab. In this post, you can learn more about Grab’s journey to Scylla and see what they liked about it.

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Jun21

The Impact of Virtualization on Your Database

virtualization

Explore the main differences between i3.16xlarge in the i3 family and i3.metal on AWS. Will removing the virtualization layer bring better performance?

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May18

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

Ola Cab image

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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Apr19

The Scylla I/O Scheduler – Better Latencies Under Any Circumstance

scylla

One of the cornerstones of Scylla is the I/O Scheduler, described in details at the moment of its inception in a two-part series that can be found here (part 1) and here (part 2). In the two years in which Scylla has been powering mission-critical workloads in production the importance of the I/O Scheduler was solidified and as our users have attested themselves, it plays a key part in isolating workloads and delivering on our Autonomous Operations promise.

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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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Apr12

Voice of Experience: IBM Cloud’s Compose for JanusGraph Uncovers Advantages of Scylla

IBM had previously used only Apache Cassandra and HBase as storage back-ends for the graph databases it makes available on IBM Cloud. Having heard about the advantages of Scylla, IBM’s Open Tech and Performance teams conducted a series of tests to compare Scylla with HBase and Apache Cassandra.

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