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DBMS > Amazon Aurora vs. Drizzle vs. GeoSpock vs. Ingres vs. Kdb

System Properties Comparison Amazon Aurora vs. Drizzle vs. GeoSpock vs. Ingres vs. Kdb

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonIngres  Xexclude from comparisonKdb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleWell established RDBMSHigh performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.66
Rank#44  Overall
#28  Relational DBMS
Score3.47
Rank#79  Overall
#43  Relational DBMS
Score7.06
Rank#48  Overall
#2  Time Series DBMS
#2  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorageospock.comwww.actian.com/­databases/­ingreskx.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.actian.com/­ingrescode.kx.com
DeveloperAmazonDrizzle project, originally started by Brian AkerGeoSpockActian CorporationKx Systems, a division of First Derivatives plc
Initial release201520081974 infooriginally developed at University Berkely in early 1970s2000 infokdb was released 2000, kdb+ in 2003
Current release7.2.4, September 20122.0, September 201912.0, July 20243.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptCq
Server operating systemshostedFreeBSD
Linux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyestemporal, categoricalyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyes infowith proprietary extensionsANSI SQL for query only (using Presto)yesSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
C
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyesuser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.noyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Ingres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablefine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Amazon AuroraDrizzleGeoSpockIngresKdb
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 AuroraDrizzleGeoSpockIngresKdb
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