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DBMS > Amazon Aurora vs. EXASOL vs. Hazelcast vs. Kdb+

System Properties Comparison Amazon Aurora vs. EXASOL vs. Hazelcast vs. Kdb+

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonKdb+  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data gridHigh performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.64
Rank#45  Overall
#28  Relational DBMS
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score8.45
Rank#48  Overall
#6  Key-value stores
Score6.51
Rank#56  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.exasol.com/­en/­productshazelcast.comkx.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­en/­community/­resourceshazelcast.org/­imdg/­docscode.kx.com
DeveloperAmazonExasolHazelcastKx Systems, a division of First Derivatives plc
Initial release2015200020082000 infokdb was released 2000, kdb+ in 2003
Current release4.0, February 20203.6, May 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit version
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.
Implementation languageJavaq
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyesSQL-like query languageSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyes infoEvent Listeners, Executor Servicesuser defined functions
Triggersyesyesyes infoEventsyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoReplicated MapMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlrights management via user accounts
More information provided by the system vendor
Amazon AuroraEXASOLHazelcastKdb+
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
upon request
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraEXASOLHazelcastKdb+
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