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

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

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSurrealDB  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 fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Object oriented DBMS
Relational DBMSSpatial DBMSDocument store
Graph 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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteorigodb.comspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexsurrealdb.com
Technical documentationorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsurrealdb.com/­docs
DeveloperRobert Friberg et alApache Software FoundationAlessandro FurieriSurrealDB Ltd
Initial release2009 infounder the name LiveDB201420082022
Current release3.5.0 ( 2.13), September 20235.0.0, August 2020v1.1.1, January 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++Rust
Server operating systemsLinux
Windows
Linux
OS X
Windows
server-lessLinux
macOS
Windows
Data schemeyesyesyesschema-free
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 .NETnono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methods.NET Client API
HTTP API
LINQ
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.NetJava
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesnono
Triggersyes infoDomain Eventsnoyes
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 methodsnonono
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
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 authorizationnonoyes, based on authentication and database rules

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More resources
OrigoDBSpark SQLSpatiaLiteSurrealDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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