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DBMS > Dragonfly vs. Postgres-XL vs. Spark SQL vs. SpatiaLite vs. Transbase

System Properties Comparison Dragonfly vs. Postgres-XL vs. Spark SQL vs. SpatiaLite vs. Transbase

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLiteA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.postgres-xl.orgspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.dragonflydb.io/­docswww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDragonflyDB team and community contributorsApache Software FoundationAlessandro FurieriTransaction Software GmbH
Initial release20232014 infosince 2012, originally named StormDB201420081987
Current release1.0, March 202310 R1, October 20183.5.0 ( 2.13), September 20235.0.0, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CScalaC++C and C++
Server operating systemsLinuxLinux
macOS
Linux
OS X
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemescheme-freeyesyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesyes
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.noyes infoXML type, but no XML query functionalitynonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like DML and DDL statementsyesyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresLuauser defined functionsnonoyes
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACID infoMVCCnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
DragonflyPostgres-XLSpark SQLSpatiaLiteTransbase
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