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DBMS > Google Cloud Spanner vs. InterSystems Caché vs. Microsoft Access vs. Percona Server for MongoDB

System Properties Comparison Google Cloud Spanner vs. InterSystems Caché vs. Microsoft Access vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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.A multi-model DBMS and application serverMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitecloud.google.com/­spannerwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationcloud.google.com/­spanner/­docsdocs.intersystems.comdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodb
DeveloperGoogleInterSystemsMicrosoftPercona
Initial release2017199719922015
Current release2018.1.4, May 20201902 (16.0.11328.20222), March 20193.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyes infobut not compliant to any SQL standardno
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
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineJavaScript
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003Access rights for users and roles

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More resources
Google Cloud SpannerInterSystems CachéMicrosoft AccessPercona Server for MongoDB
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