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DBMS > NSDb vs. OrigoDB vs. Spark SQL vs. Titan vs. Transbase

System Properties Comparison NSDb vs. OrigoDB vs. Spark SQL vs. Titan vs. Transbase

Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTitan  Xexclude from comparisonTransbase  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingTitan is a Graph DBMS optimized for distributed clusters.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Relational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitensdb.ioorigodb.comspark.apache.org/­sqlgithub.com/­thinkaurelius/­titanwww.transaction.de/­en/­products/­transbase.html
Technical documentationnsdb.io/­Architectureorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wikiwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperRobert Friberg et alApache Software FoundationAurelius, owned by DataStaxTransaction Software GmbH
Initial release20172009 infounder the name LiveDB201420121987
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0Open Source infoApache license, version 2.0commercial infofree development license
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 languageJava, ScalaC#ScalaJavaC and C++
Server operating systemsLinux
macOS
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyesyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesall fields are automatically indexedyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsnoyes
APIs and other access methodsgRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Scala
.NetJava
Python
R
Scala
Clojure
Java
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersyes infoDomain Eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Coreyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infoWrite ahead logyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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 authorizationnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
NSDbOrigoDBSpark SQLTitanTransbase
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