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DBMS > Elasticsearch vs. InfluxDB vs. Kdb

System Properties Comparison Elasticsearch vs. InfluxDB vs. Kdb

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonInfluxDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricDBMS for storing time series, events and metricsHigh performance Time Series DBMS
Primary database modelSearch engineTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS infowith GEO packageRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score137.15
Rank#7  Overall
#1  Search engines
Score29.74
Rank#28  Overall
#1  Time Series DBMS
Score8.39
Rank#53  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitewww.elastic.co/­elasticsearchwww.influxdata.com/­products/­influxdb-overviewkx.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.influxdata.com/­influxdbcode.kx.com
DeveloperElasticKx Systems, a division of First Derivatives plc
Initial release201020132000 infokdb was released 2000, kdb+ in 2003
Current release8.6, January 20232.7.1, April 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoq
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexednoyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (q)
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP API
JSON over UDP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersyes infoby using the 'percolation' featurenoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.Memcached and Redis integrationyes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsrights management via user accounts
More information provided by the system vendor
ElasticsearchInfluxDBKdb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsFastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
upon request
» more
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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
ElasticsearchInfluxDBKdb
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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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

Making sense of data retrieval with Elasticsearch
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