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DBMS > Apache Druid vs. Apache Kylin vs. Impala

System Properties Comparison Apache Druid vs. Apache Kylin vs. Impala

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAnalytic DBMS for Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#92  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score1.36
Rank#145  Overall
#71  Relational DBMS
Score18.68
Rank#38  Overall
#23  Relational DBMS
Websitedruid.apache.orgkylin.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncCloudera
Initial release201220152013
Current release0.21.0, April 20213.1.0, July 20203.4.0, April 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
LinuxLinux
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL for queryingANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Apache DruidApache KylinImpala
Recent citations in the news

Imply to Debut Accreditation Program for Apache Druid® Basics, Giving Developers the Foundation for Building Modern Analytics Applications
27 October 2021, Business Wire

Druid-Backer Imply Lands $70M to Drive Analytics in Motion
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Imply Closes $70 Million Series C at $700M Valuation to Extend Leadership as Foundational Platform for Analytics-in-Motion
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22 January 2021, Datanami

Big Data Analytics Startup Kyligence Raises $70M In Series D Funding
21 April 2021, CRN

provided by Google News

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

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