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DBMS > Google Cloud Bigtable vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB

System Properties Comparison Google Cloud Bigtable vs. IBM Db2 warehouse vs. Microsoft Azure Table Storage vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPercona Server for MongoDB  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.Cloud-based data warehousing serviceA Wide Column Store for rapid development using massive semi-structured datasetsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value store
Wide column store
Relational DBMSWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­storage/­tableswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationcloud.google.com/­bigtable/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperGoogleIBMMicrosoftPercona
Initial release2015201420122015
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedhostedLinux
Data schemeschema-freeyesschema-freeschema-free
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.nono infoImport/export of XML data possiblenono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresnoPL/SQL, SQL PLnoJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
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 ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDoptimistic lockingno
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.noyesnoyes infovia In-Memory Engine
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-standardAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles

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More resources
Google Cloud BigtableIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Table StoragePercona Server for MongoDB
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