Releases Archives - ArangoDB

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Apache Spark

Introducing the new ArangoDB Datasource for Apache Spark

02General, Releases

Estimated reading time: 8 minutes

We are proud to announce the general availability of ArangoDB Datasource for Apache Spark: a new generation Spark connector for ArangoDB.

Nowadays, Apache Spark is one of the most popular analytics frameworks for large-scale data processing. It is designed to process in parallel data that is too large or complex for traditional databases, providing high performances by optimizing query execution, caching data in-memory and controlling the data distribution.

More info

Introducing ArangoDB 3.9 – Graph Meets Analytics

00General, Releases

Estimated reading time: 4 minutes

We are proud to announce the GA release of ArangoDB 3.9!

Congrats to the team and community for the latest ArangoDB release 3.9! ArangoDB 3.9 is focused on extending the capabilities of advanced Analytics and especially at scaling Graph use cases even further. In the remainder of this blog post, we will dive further into some of the features including Hybrid SmartGraphs, new AQL functions, new ArangoSearch Analyzer, and various other performance and user experience improvements.

More info

Introducing ArangoDB 3.8 – Graph Analytics at Scale

00General, Releases

Estimated reading time: 6 minutes

We are proud to announce the GA release of ArangoDB 3.8!

With this release, we improve many analytics use cases we have been seeing – both from our customers and open-source users – with the addition of new features such as AQL window operations, graph and Geo analytics, as well as new ArangoSearch functionality.

More info

Azure now GA on ArangoDB Oasis

10Oasis, Releases

Estimated reading time: 6 minutes

ArangoDB Oasis, the cloud service of ArangoDB, has reached an important milestone. We are glad to announce that Azure support is generally available in ArangoDB Oasis as of today!

Currently Azure is supported in the following regions:

  • West US, Washington
  • East US, Virginia
  • Central Canada, Toronto
  • UK, London
  • West Europe, Netherlands
Read more

ArangoDB 3.4 GA
Full-text Search, GeoJSON, Streaming & More

00General, ReleasesTags: , , , ,

The ability to see your data from various perspectives is the idea of a multi-model database. Having the freedom to combine these perspectives into a single query is the idea behind native multi-model in ArangoDB. Extending this freedom is the main thought behind the release of ArangoDB 3.4.

We’re always excited to put a new version of ArangoDB out there, but this time it’s something special. This new release includes two huge features: a C++ based full-text search and ranking engine called ArangoSearch; and largely extended capabilities for geospatial queries by integrating Google™ S2 Geometry Library and GeoJSON.  Read more

RC1 ArangoDB 3.4 – What’s new?

00General, ReleasesTags: , , ,

For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today. Read more

Data retrieval performance optimizations in ArangoDB 3.3.9

00General, ReleasesTags:

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.
Read more