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DBMS > Apache Kylin vs. Apache Pinot vs. Hypertable vs. InterSystems Caché

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Hypertable vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore 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 stackRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn open source BigTable implementation based on distributed file systems such as HadoopA multi-model DBMS and application server
Primary database modelRelational DBMSRelational DBMSWide column storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Websitekylin.apache.orgpinot.apache.orgwww.intersystems.com/­products/­cache
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orgdocs.intersystems.com
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsHypertable Inc.InterSystems
Initial release2015201520091997
Current release3.1.0, July 20201.0.0, September 20230.9.8.11, March 20162018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freedepending on used data model
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.noyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCC++ API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles

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More resources
Apache KylinApache PinotHypertableInterSystems Caché
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