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DBMS > Apache Kylin vs. Coveo vs. Hypertable vs. OpenMLDB

System Properties Comparison Apache Kylin vs. Coveo vs. Hypertable vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCoveo  Xexclude from comparisonHypertable  Xexclude from comparisonOpenMLDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAn open source BigTable implementation based on distributed file systems such as HadoopAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSSearch engineWide column storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitekylin.apache.orgwww.coveo.comopenmldb.ai
Technical documentationkylin.apache.org/­docsdocs.coveo.comopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation, originally contributed from eBay IncCoveoHypertable Inc.4 Paradigm Inc.
Initial release2015201220092020
Current release3.1.0, July 20200.9.8.11, March 20162024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, Scala
Server operating systemsLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Thrift
JDBC
SQLAlchemy
Supported programming languagesC#
Java
JavaScript
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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 filtersnofine grained access rights according to SQL-standard

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More resources
Apache KylinCoveoHypertableOpenMLDB
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