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DBMS > Google Cloud Spanner vs. InterSystems Caché vs. YTsaurus

System Properties Comparison Google Cloud Spanner vs. InterSystems Caché vs. YTsaurus

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonYTsaurus  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 serverYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.66
Rank#99  Overall
#50  Relational DBMS
Score0.16
Rank#325  Overall
#46  Document stores
#46  Key-value stores
Websitecloud.google.com/­spannerwww.intersystems.com/­products/­cacheytsaurus.tech
Technical documentationcloud.google.com/­spanner/­docsdocs.intersystems.comytsaurus.tech/­docs/­en
DeveloperGoogleInterSystemsYandex
Initial release201719972023
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Ubuntu
Data schemeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesYQL, an SQL-based language, is supported
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
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 rolesAccess Control Lists

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More resources
Google Cloud SpannerInterSystems CachéYTsaurus
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