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DBMS > Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. openGemini vs. Postgres-XL vs. SAP SQL Anywhere

System Properties Comparison Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. openGemini vs. Postgres-XL vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonopenGemini  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitecloud.google.com/­bigtableazure.microsoft.com/­services/­synapse-analyticswww.opengemini.org
github.com/­openGemini
www.postgres-xl.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcloud.google.com/­bigtable/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.opengemini.org/­guidewww.postgres-xl.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleMicrosoftHuawei and openGemini communitySAP infoformerly Sybase
Initial release2015201620222014 infosince 2012, originally named StormDB1992
Current release1.1, July 202310 R1, October 201817, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC
Server operating systemshostedhostedLinux
Windows
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesInteger, Float, Boolean, Stringyesyes
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.nononoyes infoXML type, but no XML query functionalityyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes infodistributed, parallel query executionyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLnouser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
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 Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID infoMVCCACID
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAdministrators and common users accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGeminiPostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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