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DBMS > Google Cloud Bigtable vs. InterSystems Caché vs. MonetDB vs. SQream DB

System Properties Comparison Google Cloud Bigtable vs. InterSystems Caché vs. MonetDB vs. SQream DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMonetDB  Xexclude from comparisonSQream DB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A multi-model DBMS and application serverA relational database management system that stores data in columnsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value store
Wide column store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecloud.google.com/­bigtablewww.intersystems.com/­products/­cachewww.monetdb.orgsqream.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.intersystems.comwww.monetdb.org/­Documentationdocs.sqream.com
DeveloperGoogleInterSystemsMonetDB BVSQream Technologies
Initial release2015199720042017
Current release2018.1.4, May 2020Dec2023 (11.49), December 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0commercial
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 languageCC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Types
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.noyes
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.Net
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyes, in SQL, C, Ruser defined functions in Python
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tableshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableInterSystems CachéMonetDBSQream DB
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