Scylla offers a variety of ways to get your knowledge ramped up when it comes to Scylla administration, data modeling and various features usage. Many of our customers still prefer the human touch: personalized and customized knowledge delivery from our Scylla experts through onsite and online training.
The acquisition of Red Hat by IBM caught many, including myself, by surprise. It’s not that such an option was never on the table. During the time I was at Red Hat (2008-2012) such ideas were tossed about. Funny to say, but in 2012 Red Hat seemed too expensive a play. Revenues rose sharply since, and so has the price. Before we dive into whether this move will save IBM, let’s first tip our caps for Red Hat, one of the most important technology companies. Red Hat is an innovator of the open source business model. The leader of the […]
The Scylla team is pleased to announce the release of Scylla Enterprise 2018.1.2, a production-ready Scylla Enterprise minor release. Scylla Enterprise 2018.1.2 is a bug fix release for the 2018.1 branch, the latest stable branch of Scylla Enterprise.
The Scylla team is pleased to announce the release of Scylla Enterprise 2018.1.0, a production-ready Scylla Enterprise minor release. Scylla Enterprise 2018.1.1 is a bug fix release for the 2018.1 branch, the latest stable branch of Scylla Enterprise.
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.
In the context of graph databases, the performance of your storage backend is paramount. In the world of edges and vertices, graphs (and the data required to support them) can grow exponentially in a point-to-point fashion. In their talk at Scylla Summit 2017, Ted Chang and Chin Huang, both engineers at IBM, decided to add Scylla to the mix of backends which has traditionally included Cassandra and HBase. They ran test scenarios which covered high volume reads and writes, and provided comparative test results for the three backends, along with lessons learned for each.
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