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DBMS > Google Cloud Bigtable vs. HBase vs. IBM Db2 warehouse vs. SQLite

System Properties Comparison Google Cloud Bigtable vs. HBase vs. IBM Db2 warehouse vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSQLite  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 BigTableCloud-based data warehousing serviceWidely used embeddable, in-process RDBMS
Primary database modelKey-value store
Wide column store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score31.60
Rank#26  Overall
#2  Wide column stores
Score1.61
Rank#156  Overall
#71  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigtablehbase.apache.orgwww.ibm.com/­products/­db2/­warehousewww.sqlite.org
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlwww.sqlite.org/­docs.html
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetIBMDwayne Richard Hipp
Initial release2015200820142000
Current release2.3.4, January 20213.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoPublic Domain
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
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedserver-less
Data schemeschema-freeschema-free, schema definition possibleyesyes infodynamic column types
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes infonot rigid because of 'dynamic typing' concept.
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.nonono infoImport/export of XML data possibleno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaPL/SQL, SQL PLno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
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
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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 Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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.noyesyesyes
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 BigtableHBaseIBM Db2 warehouse infoformerly named IBM dashDBSQLite
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