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DBMS > OrigoDB vs. RethinkDB vs. Splice Machine vs. YDB

System Properties Comparison OrigoDB vs. RethinkDB vs. Splice Machine vs. YDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websiteorigodb.comrethinkdb.comsplicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationorigodb.com/­docsrethinkdb.com/­docssplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperRobert Friberg et alThe Linux Foundation infosince July 2017Splice MachineYandex
Initial release2009 infounder the name LiveDB200920142019
Current release2.4.1, August 20203.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Java
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes infostring, binary, float, bool, date, geometryyesyes
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.no infocan be achieved using .NETnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (YQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.NetC 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++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesyes infoJavano
Triggersyes infoDomain EventsClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding inforange basedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlRole based authorizationyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
OrigoDBRethinkDBSplice MachineYDB
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