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DBMS > Datastax Enterprise vs. Microsoft Access vs. Microsoft Azure Search vs. Microsoft Azure Table Storage

System Properties Comparison Datastax Enterprise vs. Microsoft Access vs. Microsoft Azure Search vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonMicrosoft Azure Table Storage  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.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.)Search-as-a-service for web and mobile app developmentA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelWide column storeRelational DBMSSearch engineWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.28
Rank#53  Overall
#4  Wide column stores
Score143.44
Rank#9  Overall
#6  Relational DBMS
Score7.54
Rank#59  Overall
#6  Search engines
Score5.35
Rank#77  Overall
#5  Wide column stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.datastax.comdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­en-us/­azure/­search
DeveloperDataStaxMicrosoftMicrosoftMicrosoft
Initial release2011199220152012
Current release6.8, April 20201902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows infoNot a real database server, but making use of DLLshostedhosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenono
Triggersyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Datastax EnterpriseMicrosoft AccessMicrosoft Azure SearchMicrosoft Azure Table Storage
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital 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 modelsAnnual subscription
» more

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Datastax EnterpriseMicrosoft AccessMicrosoft Azure SearchMicrosoft Azure Table Storage
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