The Scylla team is pleased to announce the availability of Scylla Open Source 3.1.0, a production-ready release of our open source NoSQL database. Scylla is an open source NoSQL database offering the same Cassandra Query Language (CQL) interface as Apache Cassandra, along with the same horizontal scale-out and fault-tolerance characteristics. Implemented from scratch in C++ with a close-to-the-hardware architecture, Scylla delivers 10X the throughput, consistent, low single-digit latencies, and significantly reduces the number of database nodes you require and self-optimizes to dynamic workloads and various hardware combinations. With the release of Scylla Open Source 3.1, we’ve introduced a number of […]
As we prepare for Scylla Summit 2019, this is the first in a series of blogs highlighting this year’s featured presenters. Alexys Jacob, known to the developer community across social media, Github and Slack as @ultrabug, is the CTO of Numberly. A self-avowed Pythonista and staunch open source proponent, Alexys has long explored and expanded the frontiers of Big Data architecture and production systems.
Since migrating to Scylla our on-call engineers could finally get enough sleep. They’re really happy with this change. We don’t have to watch Scylla 24/7. It just simply works as promised. We can now focus on creating new features for our users instead of repairing Cassandra.
CHECK OUT PART ONE OF THIS BLOG We covered the basics of Elasticsearch and how Scylla is a perfect complement for it in part one of this blog. Today we want to give you specific how-tos on connecting Scylla and Elasticsearch, including use cases and sample code. Use Case #1 If combining a persistent, highly available datastore with full text search engine is a market requirement, then implementing a single, integrated solution is an ultimate goal that requires time and resources. To answer this challenge we describe below a way for users to use best-of-breed solutions that support full text […]
We needed a Python interpreter that can be shipped everywhere. You won’t believe what happened next! “When I said I wanted portable Python, this is NOT what I meant!” In theory, Python is a portable language. You can write your script locally and distribute it to other machines with the Python interpreter. In practice, things can go wrong for a variety of reasons. The first and simpler problem is the module system: for a script to run, all of the modules it uses must be installed. For Python-savvy users, installing them is not a problem. But for a software vendor […]