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DBMS > Coveo vs. Drizzle vs. GeoSpock vs. Kdb

System Properties Comparison Coveo vs. Drizzle vs. GeoSpock vs. Kdb

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  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.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleHigh performance Time Series DBMS
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.coveo.comgeospock.comkx.com
Technical documentationdocs.coveo.comcode.kx.com
DeveloperCoveoDrizzle project, originally started by Brian AkerGeoSpockKx Systems, a division of First Derivatives plc
Initial release201220082000 infokdb was released 2000, kdb+ in 2003
Current release7.2.4, September 20122.0, September 20193.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, Javascriptq
Server operating systemshostedFreeBSD
Linux
OS X
hostedLinux
OS X
Solaris
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonoyes
Secondary indexesyesyestemporal, categoricalyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI SQL for query only (using Presto)SQL-like query language (q)
APIs and other access methodsRESTful HTTP APIJDBCJDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnononouser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.noyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyesShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.noyes
User concepts infoAccess controlgranular access controls, API key management, content filtersPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablerights management via user accounts
More information provided by the system vendor
CoveoDrizzleGeoSpockKdb
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
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CoveoDrizzleGeoSpockKdb
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