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DBMS > Google Cloud Bigtable vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. TerarkDB

System Properties Comparison Google Cloud Bigtable vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTerarkDB  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 DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score4.89
Rank#77  Overall
#42  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Websitecloud.google.com/­bigtablewww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­bytedance/­terarkdb
Technical documentationcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­docs/­SAP_SQL_Anywherebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftSAP infoformerly SybaseByteDance, originally Terark
Initial release2015198919922016
Current releaseSQL Server 2022, November 202217, July 2015
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyesyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesyesno
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)
ADO.NET
HTTP API
JDBC
ODBC
C++ API
Java API
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++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perlno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnonenone
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 EditionSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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-standardno

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More resources
Google Cloud BigtableMicrosoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTerarkDB
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