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DBMS > Amazon Redshift vs. FatDB vs. InfluxDB vs. Spark SQL vs. SQLite

System Properties Comparison Amazon Redshift vs. FatDB vs. InfluxDB vs. Spark SQL vs. SQLite

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  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 toolsA .NET NoSQL DBMS that can integrate with and extend SQL Server.DBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sqlwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)FatCloudApache Software FoundationDwayne Richard Hipp
Initial release20122012201320142000
Current release2.7.5, January 20243.5.0 ( 2.13), September 20233.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#GoScalaC
Server operating systemshostedWindowsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
server-less
Data schemeyesschema-freeschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes 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.nononono
Secondary indexesrestrictedyesnonoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardno infoVia inetgration in SQL ServerSQL-like query languageSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBCC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
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
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infovia applicationsnonono
Triggersnoyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlyyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infoin enterprise version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
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.yesyes infoDepending on used storage enginenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationssimple rights management via user accountsnono
More information provided by the system vendor
Amazon RedshiftFatDBInfluxDBSpark SQLSQLite
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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