![]() To learn more about how ArangoDB 3.9 supports graph at scale: Register for webinar.For more details on ArangoDB 3.9: Read the blog.In addition, many ASCII characters that were formerly banned in the traditional naming convention are also now accepted.Īdditional features in ArangoDB 3.9 include various performance and UI improvements.ĪrangoDB 3.9 is available immediately for download here, as well as on ArangoDB Oasis, ArangoDB’s managed service. In order to better support ArangoDB’s international user base, ArangoDB 3.9 accepts database names that include most UTF-8 characters, such as Japanese or Arabic letters, emojis, and letters with accentuation. PRUNE variables adds the option to store a PRUNE expression as a variable, allowing it to later be used in a query without having to repeat the PRUNE condition. PRUNE reduces the overhead of graph traversal queries by stopping a query when it reaches specific conditions. This is useful for grouping similar documents together, powering use cases such as text analytics and recommendations.ĪrangoDB 3.9 also builds on the PRUNE functionality with the introduction of PRUNE variables. The three new vector functions, cosine similarity, Manhattan distance, and Euclidean distance, can calculate how similar vectors are. These are especially helpful in analytics scenarios or when dealing with time-series data that includes measurements which change over time. The three new decay functions, exp, linear, and gauss, calculate a score with a function that decays depending on the distance of a numeric value from a user-given origin. ![]() While ArangoDB 3.9 includes many new AQL features and improvements, there are three main ones: decay and vector functions, as well as PRUNE variables. These additional Analyzers assist ArangoDB’s increasing global growth.ĪQL: Decay and vector functions, PRUNE variables The segmentation Analyzer facilitates mixed-language strings, and the collation Analyzer ensures the rules of the respective language are followed. New ArangoSearch Analyzers: Segmentation and CollationĪrangoDB 3.9 includes the addition of two new Analyzers that bolster ArangoSearch’s already extensive support for a wide range of languages. By allowing queries to be executed locally as much as possible, Hybrid SmartGraphs makes it even easier to scale data effectively and execute queries as efficiently as possible. Hybrid SmartGraphs take this a step further by combining this functionality with SatelliteCollections, which enable faster join operations with sharded datasets. SmartGraphs allow ArangoDB to scale ‘smartly’ by minimizing network hops across distributed data. We’ve made great strides with the past few releases of ArangoDB to introduce new features that improve performance across large data sets, and with the introduction of Hybrid SmartGraphs, ArangoDB 3.9 is yet another step in this direction.”ĪrangoDB 3.9 introduces Hybrid SmartGraphs, an extension of ArangoDB Enterprise Edition features SmartGraphs and SatelliteCollections. “Historically, the adoption of graph databases has been hindered due to difficulties around operating them at scale. “Graph technology continues to solve some of today’s toughest business problems, such as supply chain management, fraud detection, and route optimization, to name a few,” said Jörg Schad, PhD, CTO at ArangoDB. The release of ArangoDB 3.9 continues ArangoDB’s goal to serve as the most scalable graph database by making it easy to work with any data of any kind. IDC’s Research Vice President of Data Management Software Carl Olofson regards the graph database as the next truly revolutionary database management technology, and expects the market to grow 600% over the next 10 years. Key new features in ArangoDB 3.9 include Hybrid SmartGraphs, making it even more efficient to query sharded datasets, as well as additional Analyzers for ArangoSearch, ArangoDB’s natively-integrated, full-text search and ranking engine. ![]() ArangoDB 3.9 includes new capabilities that improve graph query performance across distributed data sets, as well as additional search functionality, supporting the ever-growing need for businesses to perform analytics focused around graph and full-text search. SAN FRANCISCO and COLOGNE, Germany (PRWEB) February 15, 2022ĪrangoDB, the most scalable open source graph database, today announced the GA release of ArangoDB 3.9.
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