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DBMS > OrigoDB vs. Spark SQL vs. SpatiaLite vs. Tigris

System Properties Comparison OrigoDB vs. Spark SQL vs. SpatiaLite vs. Tigris

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLiteA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Object oriented DBMS
Relational DBMSSpatial DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsRelational 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
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteorigodb.comspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.tigrisdata.com
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.tigrisdata.com/­docs
DeveloperRobert Friberg et alApache Software FoundationAlessandro FurieriTigris Data, Inc.
Initial release2009 infounder the name LiveDB201420082022
Current release3.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
server-lessLinux
macOS
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateUser 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.no infocan be achieved using .NETnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.NetJava
Python
R
Scala
Go
Java
JavaScript (Node.js)
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 replicationnonenoneyes
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 modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes, using FoundationDB
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 authorizationnonoAccess rights for users and roles

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More resources
OrigoDBSpark SQLSpatiaLiteTigris
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