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DBMS > Datastax Enterprise vs. Google BigQuery vs. Microsoft SQL Server vs. Oracle vs. SAP HANA

System Properties Comparison Datastax Enterprise vs. Google BigQuery vs. Microsoft SQL Server vs. Oracle vs. SAP HANA

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  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.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.95
Rank#51  Overall
#4  Wide column stores
Score43.92
Rank#25  Overall
#16  Relational DBMS
Score970.85
Rank#3  Overall
#3  Relational DBMS
Score1271.55
Rank#1  Overall
#1  Relational DBMS
Score56.24
Rank#19  Overall
#12  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisecloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databasewww.sap.com/­products/­hana.html
Technical documentationdocs.datastax.comcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databasehelp.sap.com/­hana
DeveloperDataStaxGoogleMicrosoftOracleSAP
Initial release20112010198919802010
Current release6.8, April 2020SQL Server 2019, November 201919c, February 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
hostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-service
Data schemeschema-freeyesyesyes infoSchemaless in JSON and XML columnsyes
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.nonoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesyesyes infowith proprietary extensionsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possibleSQLScript, R
Triggersyesnoyesyesyes
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 federationSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono infocan be realized in PL/SQLno
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoSince BigQuery is designed for querying dataACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Datastax EnterpriseGoogle BigQueryMicrosoft SQL ServerOracleSAP HANA
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseGoogle BigQueryMicrosoft SQL ServerOracleSAP HANA
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