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DBMS > FatDB vs. Netezza vs. SQLite vs. StarRocks vs. Yaacomo

System Properties Comparison FatDB vs. Netezza vs. SQLite vs. StarRocks vs. Yaacomo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparisonStarRocks  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.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 DorisOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.sqlite.orgwww.starrocks.ioyaacomo.com
Technical documentationwww.sqlite.org/­docs.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperFatCloudIBMDwayne Richard HippThe Linux Foundation infosince Feb 2023Q2WEB GmbH
Initial release20122000200020202009
Current release3.45.3  (15 April 2024), April 20242.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic DomainOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#CC++, Java
Server operating systemsWindowsLinux infoincluded in applianceserver-lessLinuxAndroid
Linux
Windows
Data schemeschema-freeyesyes infodynamic column typesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesyes infoSQL-92 is not fully supportedyesyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
MySQL protocol
JDBC
ODBC
Supported programming languagesC#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 proceduresyes infovia applicationsyesnouser defined functions
Triggersyes infovia applicationsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by range and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
FatDBNetezza infoAlso called PureData System for Analytics by IBMSQLiteStarRocksYaacomo
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