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DBMS > Coveo vs. Derby vs. HEAVY.AI vs. Kdb

System Properties Comparison Coveo vs. Derby vs. HEAVY.AI vs. Kdb

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance Time Series DBMS
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitewww.coveo.comdb.apache.org/­derbygithub.com/­heavyai/­heavydb
www.heavy.ai
kx.com
Technical documentationdocs.coveo.comdb.apache.org/­derby/­manuals/­index.htmldocs.heavy.aicode.kx.com
DeveloperCoveoApache Software FoundationHEAVY.AI, Inc.Kx Systems, a division of First Derivatives plc
Initial release2012199720162000 infokdb was released 2000, kdb+ in 2003
Current release10.17.1.0, November 20235.10, January 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availablecommercial 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 languageJavaC++ and CUDAq
Server operating systemshostedAll OS with a Java VMLinuxLinux
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.noyesnoyes
Secondary indexesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyesyesSQL-like query language (q)
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
Vega
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
JavaAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functions
Triggersyesyesnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationSource-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 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.yesyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
CoveoDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kdb
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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CoveoDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kdb
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