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DBMS > Google Cloud Bigtable vs. MonetDB vs. SiteWhere vs. Teradata

System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. SiteWhere vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata  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.A relational database management system that stores data in columnsM2M integration platform for persisting/querying time series dataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitecloud.google.com/­bigtablewww.monetdb.orggithub.com/­sitewhere/­sitewherewww.teradata.com
Technical documentationcloud.google.com/­bigtable/­docswww.monetdb.org/­Documentationsitewhere1.sitewhere.io/­index.htmldocs.teradata.com
DeveloperGoogleMonetDB BVSiteWhereTeradata
Initial release2015200420101984
Current releaseDec2023 (11.49), December 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infobased on HBaseSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
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.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-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableMonetDBSiteWhereTeradata
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