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DBMS > Datastax Enterprise vs. GraphDB vs. Microsoft Access

System Properties Comparison Datastax Enterprise vs. GraphDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportMicrosoft 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.)
Primary database modelWide column storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.90
Rank#43  Overall
#4  Wide column stores
Score1.09
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score141.01
Rank#9  Overall
#6  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegraphdb.ontotext.comproducts.office.com/­en-us/­access
Technical documentationdocs.datastax.comgraphdb.ontotext.com/­documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperDataStaxOntotextMicrosoft
Initial release201120001992
Current release6.7, December 20188.8, January 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
All OS with a Java VM
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyes
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.nono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSPARQL is used as query languageyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoJava Server Pluginyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per objectyesno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseGraphDB infoformer name: OWLIMMicrosoft Access
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsAnnual subscription
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
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