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DBMS > Fujitsu Enterprise Postgres vs. HyperSQL vs. Memgraph vs. Microsoft Azure Table Storage vs. Spark SQL

System Properties Comparison Fujitsu Enterprise Postgres vs. HyperSQL vs. Memgraph vs. Microsoft Azure Table Storage vs. Spark SQL

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpark SQL  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn open source graph database built for real-time streaming and compatible with Neo4jA Wide Column Store for rapid development using massive semi-structured datasetsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSGraph DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.postgresql.fastware.comhsqldb.orgmemgraph.comazure.microsoft.com/­en-us/­services/­storage/­tablesspark.apache.org/­sql
Technical documentationwww.postgresql.fastware.com/­product-manualshsqldb.org/­web/­hsqlDocsFrame.htmlmemgraph.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMemgraph LtdMicrosoftApache Software Foundation
Initial release2001201720122014
Current releaseFujitsu Enterprise Postgres 14, January 20222.7.2, June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++Scala
Server operating systemsLinux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxhostedLinux
OS X
Windows
Data schemeyesyesschema-free and schema-optionalschema-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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyesnonoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API infoJDBC via HTTP
JDBC
ODBC
Bolt protocol
Cypher query language
RESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava, SQLnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication using RAFTyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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 signaturesno
More information provided by the system vendor
Fujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDBMemgraphMicrosoft Azure Table StorageSpark SQL
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Fujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDBMemgraphMicrosoft Azure Table StorageSpark SQL
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