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DBMS > Fujitsu Enterprise Postgres vs. H2 vs. HugeGraph vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere

System Properties Comparison Fujitsu Enterprise Postgres vs. H2 vs. HugeGraph vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
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.A fast-speed and highly-scalable Graph DBMSA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSGraph DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitewww.postgresql.fastware.comwww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerBaiduMicrosoftSAP infoformerly Sybase
Initial release2005201820121992
Current releaseFujitsu Enterprise Postgres 14, January 20222.2.220, July 20230.917, July 2015
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava
Server operating systemsLinux
Windows
All OS with a Java VMLinux
macOS
Unix
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLyesyesnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaGroovy
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsnoyes, in C/C++, Java, .Net or Perl
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud servicenone
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 databaseyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Fujitsu Enterprise PostgresH2HugeGraphMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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