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DBMS > Amazon Redshift vs. Datomic vs. EventStoreDB vs. RethinkDB

System Properties Comparison Amazon Redshift vs. Datomic vs. EventStoreDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSEvent StoreDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.27
Rank#32  Overall
#18  Relational DBMS
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score0.93
Rank#179  Overall
#1  Event Stores
Score3.09
Rank#96  Overall
#17  Document stores
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.eventstore.comrethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdevelopers.eventstore.comrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectEvent Store LimitedThe Linux Foundation infosince July 2017
Initial release2012201220122009
Current release0.9.5951, July 201921.2, February 20212.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Event Store Cloud allows you to deploy a managed EventStoreDB cluster in AWS, GCP and Azure (coming soon).
Implementation languageCJava, ClojureC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometry
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 indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
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
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functions
TriggersnoBy using transaction functionsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousers and table-level permissions
More information provided by the system vendor
Amazon RedshiftDatomicEventStoreDBRethinkDB
Specific characteristicsGuaranteed writes Great performance that scales Immutable data store High availability...
» more
Competitive advantagesEventStoreDB's core database server is used in production systems worldwide. The...
» more
Typical application scenariosEvent-sourced systems Event-driven architecture
» more
Key customersEventStoreDB is used by companies across a whole range of industries. Here are just...
» more
Licensing and pricing modelsAvailable as open-source software and licensed under the 3-clause BSD license ( https://github.com/EventStore/EventStore/blob/master/LICENSE.md...
» more

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More resources
Amazon RedshiftDatomicEventStoreDBRethinkDB
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