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DBMS > Apache Kylin vs. FeatureBase

System Properties Comparison Apache Kylin vs. FeatureBase

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Our visitors often compare Apache Kylin and FeatureBase with ClickHouse, Trino and PostgreSQL.

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFeatureBase  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.26
Rank#304  Overall
#138  Relational DBMS
Websitekylin.apache.orgwww.featurebase.com
Technical documentationkylin.apache.org/­docsdocs.featurebase.com
DeveloperApache Software Foundation, originally contributed from eBay IncMolecula and Pilosa Open Source Contributors
Initial release20152017
Current release3.1.0, July 20202022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinuxLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL queries
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesJava
Python
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, using Linux fsync
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes

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More resources
Apache KylinFeatureBase
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