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DBMS > Google Cloud Bigtable vs. Microsoft SQL Server vs. Oracle vs. SAP HANA vs. Warp 10

System Properties Comparison Google Cloud Bigtable vs. Microsoft SQL Server vs. Oracle vs. SAP HANA vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsofts flagship relational DBMSWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud serviceTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument 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
Score3.98
Rank#85  Overall
#6  Wide column stores
Score970.85
Rank#3  Overall
#3  Relational DBMS
Score1271.55
Rank#1  Overall
#1  Relational DBMS
Score56.24
Rank#19  Overall
#12  Relational DBMS
Score0.15
Rank#302  Overall
#26  Time Series DBMS
Websitecloud.google.com/­bigtablewww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databasewww.sap.com/­products/­hana.htmlwww.warp10.io
Technical documentationcloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databasehelp.sap.com/­hanawww.warp10.io/­content/­02_Getting_started
DeveloperGoogleMicrosoftOracleSAPSenX
Initial release20151989198020102015
Current releaseSQL Server 2019, November 201919c, February 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial inforestricted free version is availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++Java
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-serviceLinux
OS X
Windows
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesyesnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
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 proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possibleSQLScript, Ryes infoWarpScript
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioningyesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
yesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infoisolation level can be parameterizedACIDno
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.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesMandatory use of cryptographic tokens, containing fine-grained authorizations

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud BigtableMicrosoft SQL ServerOracleSAP HANAWarp 10
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