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DBMS > Fujitsu Enterprise Postgres vs. H2 vs. Hypertable vs. Solr

System Properties Comparison Fujitsu Enterprise Postgres vs. H2 vs. Hypertable vs. Solr

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonHypertable  Xexclude from comparisonSolr  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as HadoopA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSWide column storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.postgresql.fastware.comwww.h2database.comsolr.apache.org
Technical documentationwww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.htmlsolr.apache.org/­resources.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerHypertable Inc.Apache Software Foundation
Initial release200520092006
Current releaseFujitsu Enterprise Postgres 14, January 20222.2.220, July 20230.9.8.11, March 20169.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Java
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes 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.noyes
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
C++ API
Thrift
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC++
Java
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined FunctionsnoJava plugins
Triggersyesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes

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Fujitsu Enterprise PostgresH2HypertableSolr
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