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DBMS > Amazon Redshift vs. Apache Druid vs. FatDB vs. SQLite

System Properties Comparison Amazon Redshift vs. Apache Druid vs. FatDB vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonSQLite  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.orgwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designwww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsFatCloudDwayne Richard Hipp
Initial release2012201220122000
Current release29.0.1, April 20243.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC#C
Server operating systemshostedLinux
OS X
Unix
Windowsserver-less
Data schemeyesyes infoschema-less columns are supportedschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes 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
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for queryingno infoVia inetgration in SQL Serveryes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#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 proceduresuser defined functions infoin Pythonnoyes infovia applicationsno
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationsno

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More resources
Amazon RedshiftApache DruidFatDBSQLite
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