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DBMS > IBM Db2 Event Store vs. InfluxDB vs. KairosDB vs. Solr

System Properties Comparison IBM Db2 Event Store vs. InfluxDB vs. KairosDB vs. Solr

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInfluxDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesDBMS for storing time series, events and metricsDistributed Time Series DBMS based on Cassandra or H2A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelEvent Store
Time Series DBMS
Time Series DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2-event-storewww.influxdata.com/­products/­influxdb-overviewgithub.com/­kairosdb/­kairosdbsolr.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.influxdata.com/­influxdbkairosdb.github.iosolr.apache.org/­resources.html
DeveloperIBMApache Software Foundation
Initial release2017201320132006
Current release2.02.7.6, April 20241.2.2, November 20189.6.1, May 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoJavaJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X infothrough Homebrew
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes infosupports customizable data types and automatic typing
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 indexesnononoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
Graphite protocol
HTTP REST
Telnet API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
JavaScript infoNode.js
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonoJava plugins
Triggersnononoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factor infoin enterprise version onlyselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage enginenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountssimple password-based access controlyes
More information provided by the system vendor
IBM Db2 Event StoreInfluxDBKairosDBSolr
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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