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DBMS > eXtremeDB vs. GeoSpock vs. Microsoft Access vs. Postgres-XL vs. Stardog

System Properties Comparison eXtremeDB vs. GeoSpock vs. Microsoft Access vs. Postgres-XL vs. Stardog

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.mcobject.comgeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgwww.stardog.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationdocs.stardog.com
DeveloperMcObjectGeoSpockMicrosoftStardog-Union
Initial release200119922014 infosince 2012, originally named StormDB2010
Current release8.2, 20212.0, September 20191902 (16.0.11328.20222), March 201910 R1, October 20187.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licensecommercial 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 servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, JavascriptC++CJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free and OWL/RDFS-schema support
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.no infosupport of XML interfaces availablenoyes infoXML type, but no XML query functionalityno infoImport/export of XML data possible
Secondary indexesyestemporal, categoricalyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyes infodistributed, parallel query executionYes, 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
JDBCADO.NET
DAO
ODBC
OLE DB
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infosince Access 2010 using the ACE-engineuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoby defining eventsnoyes infosince Access 2010 using the ACE-engineyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingAutomatic shardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
eXtremeDBGeoSpockMicrosoft AccessPostgres-XLStardog
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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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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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBGeoSpockMicrosoft AccessPostgres-XLStardog
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