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DBMS > Google Cloud Bigtable vs. HBase vs. Microsoft Azure SQL Database vs. PouchDB

System Properties Comparison Google Cloud Bigtable vs. HBase vs. Microsoft Azure SQL Database vs. PouchDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPouchDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering with high compatibility to Microsoft SQL ServerJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Wide column store
Wide column storeRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitecloud.google.com/­bigtablehbase.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasepouchdb.com
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlpouchdb.com/­guides
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftApache Software Foundation
Initial release2015200820102012
Current release2.3.4, January 2021V127.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScript
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesno
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.nonoyesno
Secondary indexesnonoyesyes infovia views
SQL infoSupport of SQLnonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaTransact SQLView functions in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yes, with always 3 replicas availableMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardno

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More resources
Google Cloud BigtableHBaseMicrosoft Azure SQL Database infoformerly SQL AzurePouchDB
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