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DBMS > Ignite vs. InfluxDB vs. Kinetica vs. MySQL

System Properties Comparison Ignite vs. InfluxDB vs. Kinetica vs. MySQL

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsWidely used open source RDBMS
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websiteignite.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comwww.mysql.com
Technical documentationapacheignite.readme.io/­docsdocs.influxdata.com/­influxdbdocs.kinetica.comdev.mysql.com/­doc
DeveloperApache Software FoundationKineticaOracle infosince 2010, originally MySQL AB, then Sun
Initial release2015201320121995
Current releaseApache Ignite 2.62.7.6, April 20247.1, August 20218.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++, Java, .NetGoC, C++C and C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.yesnonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsyes infoproprietary syntax
Triggersyes (cache interceptors and events)noyes 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 onlyShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
IgniteInfluxDBKineticaMySQL
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
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More resources
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