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DBMS > Google Cloud Bigtable vs. Graphite vs. InterSystems Caché vs. MonetDB

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. InterSystems Caché vs. MonetDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMonetDB  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA multi-model DBMS and application serverA relational database management system that stores data in columns
Primary database modelWide column storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#89  Overall
#8  Wide column stores
Score5.58
Rank#70  Overall
#4  Time Series DBMS
Score2.91
Rank#102  Overall
#18  Key-value stores
#1  Object oriented DBMS
#53  Relational DBMS
Score1.88
Rank#125  Overall
#61  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.intersystems.com/­products/­cachewww.monetdb.org
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.intersystems.comwww.monetdb.org/­Documentation
DeveloperGoogleChris DavisInterSystemsMonetDB BV
Initial release2015200619972004
Current release2018.1.4, May 2020Jul2021-SP2, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0
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 languagePythonC
Server operating systemshostedLinux
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or datenoNumeric data onlyyesyes
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes infoSQL 2003 with some extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C#
C++
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes, in SQL, C, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationnone infoSource-replica replication available in experimental status
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)noneImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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)noAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableGraphiteInterSystems CachéMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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Google Cloud BigtableGraphiteInterSystems CachéMonetDB
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