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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKdb  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.High performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSEvent StoreTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.eventstore.comkx.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdevelopers.eventstore.comcode.kx.com
DeveloperAmazon (based on PostgreSQL)CognitectEvent Store LimitedKx Systems, a division of First Derivatives plc
Initial release2012201220122000 infokdb was released 2000, kdb+ in 2003
Current release1.0.7180, July 202421.2, February 20213.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Sourcecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, Clojureq
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesrestrictedyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsuser defined functions
TriggersnoBy using transaction functionsyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peershorizontal partitioning
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 methodsnonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnorights management via user accounts
More information provided by the system vendor
Amazon RedshiftDatomicEventStoreDBKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
Amazon RedshiftDatomicEventStoreDBKdb
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