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DBMS > Google Cloud Bigtable vs. Netezza vs. SQLite vs. StarRocks

System Properties Comparison Google Cloud Bigtable vs. Netezza vs. SQLite vs. StarRocks

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparisonStarRocks  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.Data warehouse and analytics appliance part of IBM PureSystemsWidely used embeddable, in-process RDBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSRelational 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
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­netezzawww.sqlite.orgwww.starrocks.io
Technical documentationcloud.google.com/­bigtable/­docswww.sqlite.org/­docs.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleIBMDwayne Richard HippThe Linux Foundation infosince Feb 2023
Initial release2015200020002020
Current release3.46.0  (23 May 2024), May 20242.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic DomainOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, Java
Server operating systemshostedLinux infoincluded in applianceserver-lessLinux
Data schemeschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or datenoyesyes infonot rigid because of 'dynamic typing' concept.yes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
MySQL protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
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
Java
Server-side scripts infoStored proceduresnoyesnouser defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone
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
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization conceptnoRole based access control and fine grained access rights

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More resources
Google Cloud BigtableNetezza infoAlso called PureData System for Analytics by IBMSQLiteStarRocks
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