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DBMS > Amazon Redshift vs. Badger vs. Datomic vs. RethinkDB vs. SQLite

System Properties Comparison Amazon Redshift vs. Badger vs. Datomic vs. RethinkDB vs. SQLite

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonRethinkDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for the Web with a mechanism to push updated query results to applications in realtime.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­dgraph-io/­badgerwww.datomic.comrethinkdb.comwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­redshiftgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comrethinkdb.com/­docswww.sqlite.org/­docs.html
DeveloperAmazon (based on PostgreSQL)DGraph LabsCognitectThe Linux Foundation infosince July 2017Dwayne Richard Hipp
Initial release20122017201220092000
Current release1.0.6735, June 20232.4.1, August 20203.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache Version 2Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoJava, ClojureC++C
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
server-less
Data schemeyesschema-freeyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyes infostring, binary, float, bool, date, geometryyes 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.nonononono
Secondary indexesrestrictednoyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnononoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBCGoClojure
Java
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
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 infoTransaction Functionsno
TriggersnonoBy using transaction functionsClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes infousers and table-level permissionsno

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