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DBMS > GBase vs. Solr vs. Spark SQL vs. SpatiaLite vs. Transbase

System Properties Comparison GBase vs. Solr vs. Spark SQL vs. SpatiaLite vs. Transbase

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely used distributed, scalable search engine based on Apache LuceneSpark 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 modelRelational DBMSSearch engineRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.gbase.cnsolr.apache.orgspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.transaction.de/­en/­products/­transbase.html
Technical documentationsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGeneral Data Technology Co., Ltd.Apache Software FoundationApache Software FoundationAlessandro FurieriTransaction Software GmbH
Initial release20042006201420081987
Current releaseGBase 8a, GBase 8s, GBase 8c9.6.0, April 20243.5.0 ( 2.13), September 20235.0.0, August 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open 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, Java, PythonJavaScalaC++C and C++
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyesyes
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.yesyesnonono
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLStandard with numerous extensionsSolr Parallel SQL InterfaceSQL-like DML and DDL statementsyesyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava pluginsnonoyes
Triggersyesyes infoUser configurable commands triggered on index changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesno
User concepts infoAccess controlyesyesnonofine grained access rights according to SQL-standard

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More resources
GBaseSolrSpark SQLSpatiaLiteTransbase
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