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DBMS > Ehcache vs. RethinkDB vs. RocksDB vs. YugabyteDB

System Properties Comparison Ehcache vs. RethinkDB vs. RocksDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonRethinkDB  Xexclude from comparisonRocksDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Embeddable persistent key-value store optimized for fast storage (flash and RAM)High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.74
Rank#105  Overall
#19  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.ehcache.orgrethinkdb.comrocksdb.orgwww.yugabyte.com
Technical documentationwww.ehcache.org/­documentationrethinkdb.com/­docsgithub.com/­facebook/­rocksdb/­wikidocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperTerracotta Inc, owned by Software AGThe Linux Foundation infosince July 2017Facebook, Inc.Yugabyte Inc.
Initial release2009200920132017
Current release3.10.0, March 20222.4.1, August 20208.11.4, April 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2Open Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaC++C++C and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
LinuxLinux
OS X
Data schemeschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoyes, PostgreSQL compatible
APIs and other access methodsJCacheC++ API
Java API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesJavaC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersyes infoCache Event ListenersClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding inforange basedhorizontal partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-document operationsyesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoyes infousers and table-level permissionsnoyes
More information provided by the system vendor
EhcacheRethinkDBRocksDBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
EhcacheRethinkDBRocksDBYugabyteDB
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