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DBMS > Google Cloud Bigtable vs. Ingres vs. Microsoft Azure Table Storage vs. PostgreSQL vs. SAP HANA

System Properties Comparison Google Cloud Bigtable vs. Ingres vs. Microsoft Azure Table Storage vs. PostgreSQL vs. SAP HANA

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP HANA  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.Well established RDBMSA Wide Column Store for rapid development using massive semi-structured datasetsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLIn-memory, column based data store. Available as appliance or cloud service
Primary database modelKey-value store
Wide column store
Relational DBMSWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigtablewww.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgresql.orgwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigtable/­docsdocs.actian.com/­ingreswww.postgresql.org/­docshelp.sap.com/­hana
DeveloperGoogleActian CorporationMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP
Initial release20151974 infooriginally developed at University Berkely in early 1970s20121989 info1989: Postgres, 1996: PostgreSQL2010
Current release11.2, May 202216.3, May 20242.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Appliance or cloud-service
Data schemeschema-freeyesschema-freeyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infostandard with numerous extensionsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.SQLScript, R
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesIngres Replicatoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoother methods possible by using 3rd party extensionsyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.nonononoyes
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-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardyes

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More resources
Google Cloud BigtableIngresMicrosoft Azure Table StoragePostgreSQLSAP HANA
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