ArangoDB v3.6 releases: native multi-model database

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ArangoDB is a multi-model, open-source database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. Use ACID transactions if you require them. Scale horizontally with a few mouse clicks.

arangodb

Feature

  • Multi-Model: Documents, graphs and key-value pairs — model your data as you see fit for your application.
  • Joins: Conveniently join what belongs together for flexible ad-hoc querying, less data redundancy.
  • Transactions: Easy application development keeping your data consistent and safe. No hassle in your client.
  • Use a data-centric microservices approach with ArangoDB Foxx and fuse your application-logic and database together for maximal throughput
  • JavaScript for all: no language zoo, you can use one language from your browser to your back-end
  • Flexible data modeling: model your data as combination of key-value pairs, documents or graphs – perfect for social relations
  • Different storage engines: ArangoDB provides a storage engine for mostly in-memory operations and an alternative storage engine based on RocksDB which handle datasets that are much bigger than RAM.
  • Powerful query language (AQL) to retrieve and modify data
  • Transactions: run queries on multiple documents or collections with optional transactional consistency and isolation
  • Replication and Sharding: set up the database in a master-slave configuration or spread bigger datasets across multiple servers
  • Configurable durability: let the application decide if it needs more durability or more performance
  • Schema-free schemata let you combine the space efficiency of MySQL with the performance power of NoSQL
  • Free index choice: use the correct index for your problem, be it a skiplist or a fulltext search
  • ArangoDB is multi-threaded – exploit the power of all your cores
  • It is open source (Apache License 2.0)

Changelog v3.6

  • OneShard Feature
  • Performance Optimizations
    • Subquery acceleration (up to 30x)
    • Late document materialization
    • Early pruning of non-matching documents
    • Parallel AQL execution in clusters
    • Streamlined update and replace queries
  • ArangoSearch Enhancements
  • New Cloud Service Pricing Model

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