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DBMS > Apache Drill vs. InfluxDB vs. Kinetica vs. OpenQM

System Properties Comparison Apache Drill vs. InfluxDB vs. Kinetica vs. OpenQM

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitedrill.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdrill.apache.org/­docsdocs.influxdata.com/­influxdbdocs.kinetica.com
DeveloperApache Software FoundationKineticaRocket Software, originally Martin Phillips
Initial release2012201320121993
Current release1.20.3, January 20232.7.6, April 20247.1, August 20213.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeschema-freeyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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.nononoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoDepending on used storage engineyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourcesimple rights management via user accountsAccess rights for users and roles on table levelAccess rights can be defined down to the item level
More information provided by the system vendor
Apache DrillInfluxDBKineticaOpenQM infoalso called QM
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

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Introduction to Apache Iceberg
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DrillInfluxDBKineticaOpenQM infoalso called QM
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
23 September 2019, Towards Data Science

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

Drill Mines Diverse Data Sets, Google Style
20 May 2015, The Next Platform

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20 May 2024, AWS Blog

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