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DBMS > OrigoDB vs. Spark SQL vs. TerarkDB vs. TigerGraph

System Properties Comparison OrigoDB vs. Spark SQL vs. TerarkDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Object oriented DBMS
Relational DBMSKey-value storeGraph 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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteorigodb.comspark.apache.org/­sqlgithub.com/­bytedance/­terarkdbwww.tigergraph.com
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.tigergraph.com
DeveloperRobert Friberg et alApache Software FoundationByteDance, originally Terark
Initial release2009 infounder the name LiveDB201420162017
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++C++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesnoyes
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (GSQL)
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.NetJava
Python
R
Scala
C++
Java
C++
Java
Server-side scripts infoStored proceduresyesnonoyes
Triggersyes infoDomain Eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Foreign keys infoReferential integritydepending on modelnonoyes infoRelationships in graphs
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.yesnoyesno
User concepts infoAccess controlRole based authorizationnonoRole-based access control

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More resources
OrigoDBSpark SQLTerarkDBTigerGraph
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