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DBMS > OrigoDB vs. Spark SQL vs. SQLite vs. SWC-DB

System Properties Comparison OrigoDB vs. Spark SQL vs. SQLite vs. SWC-DB

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Object oriented DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score0.06
Rank#376  Overall
#13  Wide column stores
Websiteorigodb.comspark.apache.org/­sqlwww.sqlite.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperRobert Friberg et alApache Software FoundationDwayne Richard HippAlex Kashirin
Initial release2009 infounder the name LiveDB201420002020
Current release3.5.0 ( 2.13), September 20233.45.2  (12 March 2024), March 20240.5, April 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoPublic DomainOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaCC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
server-lessLinux
Data schemeyesyesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedSQL-like query language
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Proprietary protocol
Thrift
Supported programming languages.NetJava
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Server-side scripts infoStored proceduresyesnonono
Triggersyes infoDomain Eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritydepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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 authorizationnono

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More resources
OrigoDBSpark SQLSQLiteSWC-DB infoSuper Wide Column Database
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