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DBMS > Google Cloud Bigtable vs. HBase vs. SQLite vs. Yanza

System Properties Comparison Google Cloud Bigtable vs. HBase vs. SQLite vs. Yanza

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonSQLite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 BigTableWidely used embeddable, in-process RDBMSTime Series DBMS for IoT Applications
Primary database modelKey-value store
Wide column store
Wide column storeRelational DBMSTime Series DBMS
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigtablehbase.apache.orgwww.sqlite.orgyanza.com
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlwww.sqlite.org/­docs.html
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetDwayne Richard HippYanza
Initial release2015200820002015
Current release2.3.4, January 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoPublic Domaincommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
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
server-lessWindows
Data schemeschema-freeschema-free, schema definition possibleyes infodynamic column typesschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyes infonot rigid because of 'dynamic typing' concept.no
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyes infoSQL-92 is not fully supportedno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
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
nonenone
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 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 infovia file-system locksyes
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.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 & ABACnono

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More resources
Google Cloud BigtableHBaseSQLiteYanza
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