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DBMS > OrigoDB vs. Spark SQL vs. VelocityDB

System Properties Comparison OrigoDB vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Object oriented DBMS
Relational DBMSGraph DBMS
Object oriented 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteorigodb.comspark.apache.org/­sqlvelocitydb.com
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperRobert Friberg et alApache Software FoundationVelocityDB Inc
Initial release2009 infounder the name LiveDB20142011
Current release3.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC#
Server operating systemsLinux
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes
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 .NETnono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
.Net
Supported programming languages.NetJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresyesnono
Triggersyes infoDomain EventsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritydepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based authorizationnoBased on Windows Authentication

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More resources
OrigoDBSpark SQLVelocityDB
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