Category: Industry Trends

Feed: OrientDB Distributed Multi-Model Graph/Document Database » Blog. Author: Luigi Dell'Aquila. London – August 2, 2017 OrientDB Team has just released OrientDB v2.2.25 If you are using 2.2.x series, please upgrade your production environments to v2.2.25. View our Change Log for a full list of new functionalities, bug fixes and other improvements. Download The Latest OrientDB (v2.2.25) version: http://orientdb.com/download If you are currently using a previous version of OrientDB, we recommend you upgrade using the link above. However, if you would like to download previous versions of OrientDB Community Edition, you may do so here: http://orientdb.com/download-previous/ Team and Contributors A big thank you goes out ... Read More

Feed: Redis Labs. Author: Dvir Volk. 1. One Thread To Rule Them All Redis has been, from its inception, single threaded – and will remain so at least in 4.0. This is a reality that Redis apps, and more recently Redis Modules such as RediSearch , have to work with. While keeping things single-threaded makes Redis simple and fast, the downside is that long running commands block the entire server for the duration of query execution. Most Redis commands are fast so that is not a problem, but commands like ZUNIONSTORE, LRANGE, SINTER and of course, the infamous KEYS, can block Redis for ... Read More

Feed: OrientDB Distributed Multi-Model Graph/Document Database » Blog. Author: Luigi Dell'Aquila. London – July 28, 2017 It is with great pleasure that we announce the release of the second Milestone of OrientDB 3.0! Improving upon the foundations established in OrientDB 2.2, this latest release further consolidates all our strengths to establish a new standard for Multi-model Databases.  As with all our releases, security is always of the utmost importance. OrientDB 3.0 solidifies all our security elements but also adds unprecedented speed and performance, perfect for virtually any use case. A huge thanks goes out to our dedicated world wide community for their incredible support, relentless ... Read More

Feed: Redis Labs. Author: Tague Griffith. Meetups are a great opportunity for community members to learn more about unfamiliar features in Redis and new releases such as Redis 4.0.  Here at Redis Labs we love to support burgeoning Redis community events and wanted to say welcome to the newest Redis meetups. Spain Last month, Carlos I. Peña launched the Barcelona Redis Meetup to bring local Redis enthusiasts together.  Although still in its early stages, the Barcelona Meetup has attracted 50 community members and is in the planning stages for their first meetup. Carlos is looking for other community members to ... Read More

Feed: Clustrix Blog. Author: Dave Anselmi. ClustrixDB is a MySQL-compatible ACID RDBMS that linearly scales out both writes and reads. Clustrix has created many architectural innovations over the years that have made this possible. This week we will focus on one of these innovations, the ClustrixDB Rebalancer, that automatically distributes and balances data across nodes while ensuring high availability. Before we go into the details, let’s put this into context. With last week’s blog, we started exploring how ClustrixDB accomplishes horizontal scaling of both writes and reads without sharding. Why is this important? Because other MySQL scaling strategies have challenges with ... Read More

Feed: MemSQL Blog. Author: Rodrigo Gomes. At MemSQL, we are out to build awesome software and we’re always trying to solve hard problems. A few days ago, I uncovered a cool Linux mystery with some colleagues and fixed it. We thought sharing that experience might benefit others. The scene of the crimeWhile developing an internal tool to get stack traces, we decided to use the SYS_tgkill Linux system call to send signals to specific threads. The tgkill syscall sends a signal to a specific thread based on its “thread group” identifier (tgid) and thread identifier (tid). We store the thread identifier ... Read More

Feed: MemSQL Blog. Author: Carl Sverre. One of the main themes at DockerCon 2017 was the challenge of migrating legacy applications to containers. At MemSQL, we’re early adopters. We are already into our third year of running Docker at scale in production for our distributed software testing regime, where the performance, isolation, and cost benefits of containers are very attractive. The Challenge Before I take you through our journey to containers, let me start by outlining some of the general challenges of testing a distributed database like MemSQL. Our solutions are built for real-time data warehousing. Databases are really difficult ... Read More

Feed: Redis Labs. Author: Kyle Davis. This post originally appeared on Kyle Davis’ Medium. Have you heard? Redis 4.0 is out. That means modules. Not just in the theoretical, shouldn’t-run-in-production sense. It means primetime. Throw’em on your production server and go. Note: Redis (the database) and Node.js (the JS runtime) both use the term “module” for different concepts — the language herein has to be a bit laboured to be clear and differentiate. Recently, I wrote about Reds, the Node.js/Redis search engine module. Reds is quite good — I’ve built entire web services around it and they run really quickly. However, Node.js is ... Read More

Feed: Blog – ArangoDB. Author: Jana Volkova. “By developers for developers” has been our internal motto since the first lines of ArangoDB code. Building an open-source project at such level of complexity and at a market competitive standard, undoubtedly puts a lot of pressure and almost solely relies on the support and trust of the community.Every victory counts, be it small appreciation or big success – it’s what gives us inspiration and keeps us going forward. A while ago we’ve been having one of those rainy gray days here in Cologne. Receiving over 10 stars put a smile on faces ... Read More

Feed: Redis Labs. Author: Tague Griffith. Despite widespread interest in machine learning (ML), using it effectively in a real-time environment is a complex problem that hasn’t been given enough attention by framework developers. Nearly every language has a framework to implement the “learning” part of machine learning, but very few frameworks support the “predict” side of machine learning. Once you’ve trained an ML model, how can you build a real-time application based on that model? With many toolkits, you have to build your own application. We are just starting to see frameworks focused on the prediction side of machine learning. An ... Read More