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DBMS > Google Cloud Spanner vs. Microsoft Azure SQL Database vs. PostGIS vs. Sphinx vs. TimesTen

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure SQL Database vs. PostGIS vs. Sphinx vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Database as a Service offering with high compatibility to Microsoft SQL ServerSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSRelational DBMSSpatial DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitecloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasepostgis.netsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlpostgis.net/­documentationsphinxsearch.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGoogleMicrosoftSphinx Technologies Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20172010200520011998
Current releaseV123.4.2, February 20243.5.1, February 2023Release 22.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence availablecommercial
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++CC++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyesSQL-like query language (SphinxQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoTransact SQLuser defined functionsnoPL/SQL
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableyes infobased on PostgreSQLnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standardyes infobased on PostgreSQLnofine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzurePostGISSphinxTimesTen
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