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DBMS > AnzoGraph vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

System Properties Comparison AnzoGraph vs. ClickHouse vs. Datastax Enterprise vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedColumn-oriented Relational DBMS powering YandexDataStax 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.Microsoft 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 modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#263  Overall
#24  Graph DBMS
#14  RDF stores
Score3.27
Rank#91  Overall
#45  Relational DBMS
Score9.80
Rank#43  Overall
#4  Wide column stores
Score135.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.anzograph.comclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­access
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperCambridge SemanticsYandex LLCDataStaxMicrosoft
Initial release2018201620111992
Current release1904.0, April 2019v19.3.5, April 20196.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinux
OS X
Windows infoNot a real database server, but making use of DLLs
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standard
APIs and other access methodsgRPC
OpenCypher
RESTful HTTP API
JDBC
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC++
Java
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoyes infosince Access 2010 using the ACE-engine
Triggersnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID 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.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
AnzoGraphClickHouseDatastax EnterpriseMicrosoft Access
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
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Supporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Applications that must serve contextual information and be always-on, distributed,...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
Capital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more
Annual subscription
» more

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More resources
AnzoGraphClickHouseDatastax EnterpriseMicrosoft Access
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