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DBMS > Datomic vs. Linter vs. SpatiaLite vs. SurrealDB

System Properties Comparison Datomic vs. Linter vs. SpatiaLite vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLinter  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS for high security requirementsSpatial extension of SQLiteA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSSpatial DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.comlinter.ruwww.gaia-gis.it/­fossil/­libspatialite/­indexsurrealdb.com
Technical documentationdocs.datomic.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsurrealdb.com/­docs
DeveloperCognitectrelex.ruAlessandro FurieriSurrealDB Ltd
Initial release2012199020082022
Current release1.0.6735, June 20235.0.0, August 2020v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C++Rust
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-lessLinux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoproprietary syntax with the possibility to convert from PL/SQLno
TriggersBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes, based on authentication and database rules

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More resources
DatomicLinterSpatiaLiteSurrealDB
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