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DBMS > AgensGraph vs. GBase vs. H2GIS vs. Quasardb vs. Solr

System Properties Comparison AgensGraph vs. GBase vs. H2GIS vs. Quasardb vs. Solr

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGBase  Xexclude from comparisonH2GIS  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial extension of H2Distributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSpatial DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphwww.gbase.cnwww.h2gis.orgquasar.aisolr.apache.org
Technical documentationbitnine.net/­documentationwww.h2gis.org/­docs/­homedoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperBitnine Global Inc.General Data Technology Co., Ltd.CNRSquasardbApache Software Foundation
Initial release20162004201320092006
Current release2.1, December 2018GBase 8a, GBase 8s, GBase 8c3.14.1, January 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoLGPL 3.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
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 languageCC, Java, PythonJavaC++Java
Server operating systemsLinux
OS X
Windows
LinuxBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes infosupports customizable data types and automatic typing
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.noyesnonoyes
Secondary indexesyesyesyesyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesStandard with numerous extensionsyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
C API
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
C#Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyes infobased on H2noJava plugins
Triggersnoyesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infobased on H2Source-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes infobased on H2Cryptographically strong user authentication and audit trailyes

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More resources
AgensGraphGBaseH2GISQuasardbSolr
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