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DBMS > OrigoDB vs. Realm vs. Splice Machine vs. STSdb vs. Teradata Aster

System Properties Comparison OrigoDB vs. Realm vs. Splice Machine vs. STSdb vs. Teradata Aster

Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA fully ACID in-memory object graph databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteorigodb.comrealm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationorigodb.com/­docsrealm.io/­docssplicemachine.com/­how-it-works
DeveloperRobert Friberg et alRealm, acquired by MongoDB in May 2019Splice MachineSTS Soft SCTeradata
Initial release2009 infounder the name LiveDB2014201420112005
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
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#JavaC#
Server operating systemsLinux
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyesyes infoprimitive types and user defined types (classes)yes
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 .NETnoyes infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
.NET Client APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryyes infoJavanoR packages
Triggersyes infoDomain Eventsyes infoChange Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednoneShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritydepending on modelnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyesno
User concepts infoAccess controlRole based authorizationyesAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
OrigoDBRealmSplice MachineSTSdbTeradata Aster
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