db RethinkDB

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RethinkDB 已倒闭。

 

如何安装RethinkDB

https://www.rethinkdb.com/docs/start-on-startup/

Install RethinkDB on CentOS

https://www.rethinkdb.com/docs/install/centos/

https://download.rethinkdb.com/dist/rethinkdb-2.3.6.tgz

http://download.rethinkdb.com/centos/7/x86_64/rethinkdb-2.3.6.x86_64.rpm

RethinkDB和MongoDB的对比

https://www.rethinkdb.com/docs/comparison-tables/

 

 

Development

	RethinkDB	MongoDB
Platforms	Linux, OS X, Windows	Linux, OS X, Windows, Solaris
Data model	JSON documents	BSON documents
Data access	Unified chainable dynamic query language	Dynamic rich query language
JavaScript integration	V8 engine	Spidermonkey/V8 engine
Access languages	JSON protocol 3 official libraries Many community supported libraries	BSON protocol 13 official libraries Many community supported libraries
Index types	Primary key Compound Secondary Geospatial Arbitrarily computed	Unique (unsharded only) Compound Secondary Geospatial Sparse
Cloud deployment	AWS, dotCloud, Compose.io	Many cloud platforms

 

Administration

	RethinkDB	MongoDB
CLI tools	ReQL admin commands	JavaScript interactive shell
UI tools	Web-based admin UI	Simple HTTP interface
Failover	Auto primary re-election	Replica-sets with auto primary re-election
Backup	rethinkdb-dump	mongodump or snapshotting

 

Scaling

	RethinkDB	MongoDB
Sharding	Guided range-based sharding (supervised/guided/advised/trained)	Automatic range-based sharding
Replication	Sync and async replication	Replica-sets with log-shipping
Multi datacenter	Server grouping via tags with per-group replication and write acknowledgements	Supports different options for multi DC
Map-reduce	Multiple map-reduce functions Executing ReQL or JavaScript operations	JavaScript-based map-reduce
Performance	No published results	No official results
Concurrency	Event-based and coroutines Asynchronous block-level MVCC	Threading Read-write locks

 

Architecture

	RethinkDB	MongoDB
Consistency model	Immediate/strong consistency with support for out of date reads	Immediate/strong consistency with support for reading from replicas
Atomicity	Document level	Document level
Durability	Durable	Durable only with journaling enabled
Storage engine	Log-structured B-tree serialization with incremental, fully concurrent garbage compactor	Memory mapped files
Query distribution engine	Transparent routing, distributed and parallelized	Transparent routing requires additional mongos processes
Caching engine	Custom per-table configurable B-tree aware caching	OS-level memory mapped files LRU

 

 

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