融合 RocksDB 存储引擎html
Pregel 分布式图形处理 git
有容错机制的 Foxx 在集群模式下根据您的需求进行数据库扩展github
Geo_cursor , get documents sorted by distance to a certain point in space算法
Arangoexport, 数据导出数据库
SatelliteCollections安全
增强版 LDAPapp
闲时数据加密 分布式
Find ArangoDB on Githubpost
1. RocksDB 插件式存储引擎的优点:
Document-level locks: performance boost for write intensive applications. Writes don’t block reads, and reads don’t block writes
Support for large datasets: go beyond the limit of main memory and stay performant
Persistent indexes: faster index build after restart
Check out the step by step guide to compare both storage engines for your use case and OS!
2. Pregel 分布式图形处理,您可使用已有的不少著名的图形算法:
PageRank
Weakly Connected Components
Strongly Connected Components
HITS (hubs and authorities)
Single-Source Shortest Path
Community Detection via Label Propagation
Vertex Centrality measure
distributed graph processing with Pregel
3. 容错机制的 Foxx: 很是可爱的小狐狸 :)
The Foxx management internals has been rewritten from the ground up to make sure multi-coordinator cluster setups always keep their services in sync and new coordinators are fully initialized even when all existing coordinators are unavailable.
new fully documented REST API for managing Foxx services
4. Geo_cursor:
Get documents sorted by the distance to a certain point in space. You can also apply filters and limits to geo_cursor.
5. Arango 数据导出:
Export data as JSON, JSONL and even graphs as XGMML for visualization in Cytoscape. You can find details in the Alpha2 release post.
6. 企业级版本更高的安全性和可扩展性:
Enhanced Authorisation with LDAP
Encryption at Rest
Satellite Collections ,with SatelliteCollections you can define collections to shard to a cluster and collections to replicate to each machine. take it for a spin
Download ArangoDB 3.2 beta Community
https://www.arangodb.com/download-technical-preview-enterprise/