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DBMS > BaseX vs. GridGain vs. Ignite vs. Interbase vs. SpatiaLite

System Properties Comparison BaseX vs. GridGain vs. Ignite vs. Interbase vs. SpatiaLite

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonInterbase  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.GridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Light-weight proven RDBMS infooriginally from BorlandSpatial extension of SQLite
Primary database modelNative XML DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitebasex.orgwww.gridgain.comignite.apache.orgwww.embarcadero.com/­products/­interbasewww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.basex.orgwww.gridgain.com/­docs/­index.htmlapacheignite.readme.io/­docsdocs.embarcadero.com/­products/­interbasewww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperBaseX GmbHGridGain Systems, Inc.Apache Software FoundationEmbarcaderoAlessandro Furieri
Initial release20072007201519842008
Current release11.0, June 2024GridGain 8.5.1Apache Ignite 2.6InterBase 2020, December 20195.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++, Java, .NetCC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
server-less
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyesyes
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.yesyesno infoexport as XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageno
Triggersyes infovia eventsyes (cache interceptors and events)yes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes (replicated cache)Interbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.yesyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsSecurity Hooks for custom implementationsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardno

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More resources
BaseXGridGainIgniteInterbaseSpatiaLite
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