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DBMS > OrigoDB vs. Riak KV vs. Spark SQL vs. YDB

System Properties Comparison OrigoDB vs. Riak KV vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingA 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
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteorigodb.comspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperRobert Friberg et alOpenSource, formerly Basho TechnologiesApache Software FoundationYandex
Initial release2009 infounder the name LiveDB200920142019
Current release3.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open 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#ErlangScala
Server operating systemsLinux
Windows
Linux
OS X
Linux
OS X
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 collectionsnoyesyes
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 .NETnonono
Secondary indexesyesrestrictednoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesErlangnono
Triggersyes infoDomain Eventsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlRole based authorizationyes, using Riak SecuritynoAccess rights defined for Yandex Cloud users

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More resources
OrigoDBRiak KVSpark SQLYDB
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