ArangoDB Further Powers Graph at Scale with Release of ArangoDB 3.9
Latest release improves performance across distributed data; also includes new search and query functionality to support analytics use cases and international adoption
San Francisco and Cologne, Germany – February 15, 2022 – ArangoDB, the most scalable open source graph database, today announced the GA release of ArangoDB 3.9. 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.
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. 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. 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.
“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. “Historically, the adoption of graph databases has been hindered due to difficulties around operating them at scale. 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.”
Hybrid SmartGraphs (ArangoDB Enterprise)
ArangoDB 3.9 introduces Hybrid SmartGraphs, an extension of ArangoDB Enterprise Edition features SmartGraphs and SatelliteCollections. SmartGraphs allow ArangoDB to scale ‘smartly’ by minimizing network hops across distributed data. Hybrid SmartGraphs take this a step further by combining this functionality with SatelliteCollections, which enable faster join operations with sharded datasets. 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.
New ArangoSearch Analyzers: Segmentation and Collation
ArangoDB 3.9 includes the addition of two new Analyzers that bolster ArangoSearch’s already extensive support for a wide range of languages. The segmentation Analyzer facilitates mixed-language strings, and the collation Analyzer ensures the rules of the respective language are followed. These additional Analyzers assist ArangoDB’s increasing global growth.
AQL: Decay and vector functions, PRUNE variables
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.
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. These are especially helpful in analytics scenarios or when dealing with time-series data that includes measurements which change over time.
The three new vector functions, cosine similarity, Manhattan distance, and Euclidean distance, can calculate how similar vectors are. This is useful for grouping similar documents together, powering use cases such as text analytics and recommendations.
ArangoDB 3.9 also builds on the PRUNE functionality with the introduction of PRUNE variables. PRUNE reduces the overhead of graph traversal queries by stopping a query when it reaches specific conditions. 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.
Extended database naming conventions
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. In addition, many ASCII characters that were formerly banned in the traditional naming convention are also now accepted.
Additional features in ArangoDB 3.9 include various performance and UI improvements.
- For more details on ArangoDB 3.9: Read the blog
- To learn more about how ArangoDB 3.9 supports graph at scale: Register for webinar
- To get started with ArangoDB in a few clicks: Sign up for a free trial of ArangoDB ArangoGraph
ArangoDB is the most scalable open source graph database, with more than 12,000 stargazers on GitHub. Building on the concept of ‘graph and beyond’, ArangoDB combines the analytical power of graphs with JSON documents, a key-value store, and a full-text search engine, enabling developers to access and combine all of these data models with a single, elegant, declarative query language. It serves as the scalable backbone for graph analytics and complex data architectures across many different industries.
Founded in 2015, ArangoDB Inc. is a privately-held company backed by Bow Capital, Iris Capital, New Forge, and Target Partners. It is headquartered in San Francisco and Cologne, Germany with offices and employees around the world. Learn more at www.arangodb.com.
Amy White, Communications Manager