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DBMS > eXtremeDB vs. Fujitsu Enterprise Postgres vs. Stardog

System Properties Comparison eXtremeDB vs. Fujitsu Enterprise Postgres vs. Stardog

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.mcobject.comwww.postgresql.fastware.comwww.stardog.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.postgresql.fastware.com/­product-manualsdocs.stardog.com
DeveloperMcObjectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyStardog-Union
Initial release20012010
Current release8.2, 2021Fujitsu Enterprise Postgres 14, January 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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.no infosupport of XML interfaces availableno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoby defining eventsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
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-standardAccess rights for users and roles
More information provided by the system vendor
eXtremeDBFujitsu Enterprise PostgresStardog
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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100% compatible with community PostgreSQL
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Built-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Transactional payments applications, reporting and mixed workloads.
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Over 30 years experience in database technology. Over 20 years in Postgres development...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Core based licensing
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More resources
eXtremeDBFujitsu Enterprise PostgresStardog
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