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DBMS > Apache Kylin vs. Coveo vs. etcd vs. HBase vs. Kdb

System Properties Comparison Apache Kylin vs. Coveo vs. etcd vs. HBase vs. Kdb

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCoveo  Xexclude from comparisonetcd  Xexclude from comparisonHBase  Xexclude from comparisonKdb  Xexclude from comparison
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 developmentA distributed reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMS
Primary database modelRelational DBMSSearch engineKey-value storeWide column storeTime Series DBMS
Vector 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
Score7.03
Rank#54  Overall
#5  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitekylin.apache.orgwww.coveo.cometcd.io
github.com/­etcd-io/­etcd
hbase.apache.orgkx.com
Technical documentationkylin.apache.org/­docsdocs.coveo.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlcode.kx.com
DeveloperApache Software Foundation, originally contributed from eBay IncCoveoApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plc
Initial release2015201220082000 infokdb was released 2000, kdb+ in 2003
Current release3.1.0, July 20203.4, August 20192.3.4, January 20213.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache version 2commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaq
Server operating systemsLinuxhostedFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesnooptions to bring your own types, AVROyes
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.nonononoyes
Secondary indexesyesyesnonoyes infotable attribute 'grouped'
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nononoSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIgRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javauser defined functions
Triggersyesyes, watching key changesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoSingle row ACID (across millions of columns)no
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.nonoyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accounts
More information provided by the system vendor
Apache KylinCoveoetcdHBaseKdb
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
Apache KylinCoveoetcdHBaseKdb
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