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DBMS > Datastax Enterprise vs. MaxDB vs. Microsoft SQL Server

System Properties Comparison Datastax Enterprise vs. MaxDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft SQL Server  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.A robust and reliable RDBMS optimized to run all major SAP solutionsMicrosofts relational DBMS
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.63
Rank#42  Overall
#4  Wide column stores
Score3.39
Rank#77  Overall
#40  Relational DBMS
Score1085.06
Rank#3  Overall
#3  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisemaxdb.sap.comwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.datastax.commaxdb.sap.com/­documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperDataStaxSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release201119841989
Current release6.7, December 20187.9.09 (July 2018), 2018SQL Server 2017, October 2017
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
WebDAV
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replicationyes, but depending on the SQL-Server Edition
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseMaxDB infoformerly named Adabas-DMicrosoft SQL Server
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» 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
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseMaxDB infoformerly named Adabas-DMicrosoft SQL Server
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