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DBMS > Amazon SimpleDB vs. Brytlyt vs. InfluxDB vs. Kinetica vs. SQLite

System Properties Comparison Amazon SimpleDB vs. Brytlyt vs. InfluxDB vs. Kinetica vs. SQLite

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsWidely used embeddable, in-process RDBMS
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­simpledbbrytlyt.iowww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.brytlyt.iodocs.influxdata.com/­influxdbdocs.kinetica.comwww.sqlite.org/­docs.html
DeveloperAmazonBrytlytKineticaDwayne Richard Hipp
Initial release20072016201320122000
Current release5.0, August 20232.7.5, January 20247.1, August 20213.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen 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 languageC, C++ and CUDAGoC, C++C
Server operating systemshostedLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linuxserver-less
Data schemeschema-freeyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or datenoyesNumeric 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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyesyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
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 proceduresnouser defined functions infoin PL/pgSQLnouser defined functionsno
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infoin enterprise version onlySource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnonoACID
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.yes infoDepending on used storage engineyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
Amazon SimpleDBBrytlytInfluxDBKineticaSQLite
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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Recent citations in the news

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20 May 2009, AWS Blog

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