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DBMS > OpenQM vs. OrigoDB vs. Quasardb vs. Splice Machine vs. YDB

System Properties Comparison OpenQM vs. OrigoDB vs. Quasardb vs. Splice Machine vs. YDB

Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseOpen-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 modelMultivalue DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comquasar.aisplicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationorigodb.com/­docsdoc.quasar.ai/­mastersplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperRocket Software, originally Martin PhillipsRobert Friberg et alquasardbSplice MachineYandex
Initial release19932009 infounder the name LiveDB200920142019
Current release3.4-123.14.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++Java
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infowith some exceptionsyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes infointeger and binaryyesyes
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.yesno infocan be achieved using .NETnono
Secondary indexesyesyesyes infowith tagsyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language (YQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP APIJDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesyesnoyes infoJavano
Triggersyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyesno
User concepts infoAccess controlAccess rights can be defined down to the item levelRole based authorizationCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
OpenQM infoalso called QMOrigoDBQuasardbSplice MachineYDB
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