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

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

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonetcd  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA distributed reliable key-value storeHigh-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 DBMSKey-value storeRelational DBMSKey-value storeTime Series DBMS
Vector 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
Score9.05
Rank#49  Overall
#31  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score7.66
Rank#54  Overall
#5  Key-value stores
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraetcd.io
github.com/­etcd-io/­etcd
www.exasol.comhazelcast.comkx.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.exasol.com/­resourceshazelcast.org/­imdg/­docscode.kx.com
DeveloperAmazonExasolHazelcastKx Systems, a division of First Derivatives plc
Initial release2015200020082000 infokdb was released 2000, kdb+ in 2003
Current release3.4, August 20195.3.6, November 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit version
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 languageGoJavaq
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnonoyes infothe object must implement a serialization strategyyes
Secondary indexesyesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesnoyesSQL-like query languageSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
.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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
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 proceduresyesnouser defined functionsyes infoEvent Listeners, Executor Servicesuser defined functions
Triggersyesyes, watching key changesyesyes infoEventsyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess 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 AuroraetcdEXASOLHazelcastKdb
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...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman 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 modelsupon request
» more

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More resources
Amazon AuroraetcdEXASOLHazelcastKdb
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