Category: Multi-Model Databases

Feed: Blog – OrientDB. Author: luigi. London – July 2, 2018OrientDB Team has just released OrientDB v 3.0.3 Download The Latest OrientDB (v3.0.3) version:Download OrientDB Community Edition hereDownload OrientDB Enterprise Edition hereIf 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 ContributorsA big thank you goes out to the OrientDB team and all the contributors who worked hard on this release, providing pull requests, tests, issues and comments. Best regards, Luigi ... Read More

Feed: Blog – OrientDB. Author: luigi. London – July 12, 2018OrientDB Team has just released OrientDB v 3.0.4 Download The Latest OrientDB (v3.0.4) version: Download OrientDB Community Edition hereDownload OrientDB Enterprise Edition here 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 ContributorsA big thank you goes out to the OrientDB team and all the contributors who worked hard on this release, providing pull requests, tests, issues and comments. Best ... Read More

Feed: Blog – ArangoDB. Author: Daniel Larkin-York. Graph databases are often used to analyze relations within highly interconnected datasets. Social networks, recommendation engines, corporate hierarchies, fraud detection or querying a bill of materials are common use cases. But these datasets change over time and you as a developer or data scientist may want to time travel and analyze these changes. While ArangoDB may not come with built-in support for managing the revision history of graph data, we’ll show in this article how to manage it in a performant manner for some general classes of graphs. Best of all, this won’t ... Read More

Feed: Blog – ArangoDB. Author: Daniel Larkin-York. Many ArangoDB users rely on our arangodump and arangorestore tools as an integral part of their backup and recovery procedures. As such, we want to make the use of these tools, especially arangodump, as fast as possible. We’ve been working hard toward this goal in preparation for the upcoming 3.4 release. We’ve made a number of low-level server-side changes to significantly reduce overhead and improve throughput. Additionally, we’ve put some work into rewriting much of the code for the client tools to allow dumping and restoring collections in parallel, using a number of ... Read More

Feed: Blog – ArangoDB. Author: Jan Steemann. Our recent release 3.3.9 includes several performance optimizations for data retrieval cases. Benefits can be expected for both storage engines, MMFiles and RocksDB, AQL batch lookup queries, and cluster AQL queries. MMFiles index batch lookups For the MMFiles engine, an optimization has been made for retrieving multiple documents from an index (hash index, skiplist index or persistent index) in a batch.Previous versions of MMFiles fetched documents from these indexes one after the other, which had some considerable overhead compared to fetching many documents from inside the index code in a single batch. This ... Read More

Feed: Blog – OrientDB. Author: hannahpr. In case you missed it, I am very proud to announce a mention of OrientDB in the amazing and very widely read business technology news website, ZDNet, in an article titled, The new era of the Multi-Model Database.I was super excited to see at the very top of this article, prominently displayed, an OrientDB diagram showing how our multi-model graph database integrates multiple data models into a single, scalable, high-performance operational database. The article itself delves into a little bit of the history of databases, which started as simple data stores and then, in ... Read More

Feed: Blog – ArangoDB. Author: Jan Steemann. We were in search for some C++ read-write lock implementation that allows a thread to acquire a lock and then optionally pass it on to another thread. The C++11 and C++14 standard library lock implementations std::mutex and shared_mutex do not allow that (it would be undefined behaviour – by the way, it’s also undefined behaviour when doing this with the pthreads library). Additionally, we were looking for locks that would neither prefer readers nor writers, so that there will be neither reader starvation nor writer starvation. And then, we wanted concurrently queued read ... Read More

Feed: Blog – ArangoDB. Author: Andrey Abramov. In this article, we’re going to dive deeper into our recently released feature preview in Milestone ArangoDB 3.4 – ArangoSearch which provides a rich set of information retrieval capabilities. In particular, we’ll give you an idea of how our search engine works under the hood. Essentially ArangoSearch consists of 2 components: A search engine and an integration layer. The former is responsible for managing the index, querying and scoring, whereas latter exposes search capabilities to the end user in a convenient way. ArangoSearch index Inverted Index is the heart of ArangoSearch. The index ... Read More

Feed: Blog – ArangoDB. Author: Mark Vollmary. Anyone who has ever worked with our JavaScript framework Foxx was faced at some point with the challenge to install its Foxx service in its current ArangoDB instance or to replace the installed service with local code changes. This is not a big deal and can easily be done through ArangoDB’s WebUI. However, we developers always want to become more productive and clicking through a graphical UI is not the best way. Furthermore, this procedure is almost impossible to use in an automated deployment process. That’s why we decided to develop a node-based ... Read More

Feed: Blog – ArangoDB. Author: Max Neunhöffer. TL;DR; This describes how to generate a completely static binary for a complex C++ application which runs on all variants of Linux without any library dependency. ArangoDB is a multi-model database written in C++. It is a sizable application with an executable size of 38MB (stripped) and quite some library dependencies. We provide binary packages for Linux, Windows and MacOS, and for Linux we cover all major distributions and their different versions, which makes our build and delivery pipeline extremely cluttered and awkward. At the beginning of this story, we needed approximately 12 ... Read More