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DBMS > Dolt vs. IBM Db2 Event Store vs. KairosDB vs. MySQL

System Properties Comparison Dolt vs. IBM Db2 Event Store vs. KairosDB vs. MySQL

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKairosDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaDistributed Event Store optimized for Internet of Things use casesDistributed Time Series DBMS based on Cassandra or H2Widely used open source RDBMS
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.ibm.com/­products/­db2-event-storegithub.com/­kairosdb/­kairosdbwww.mysql.com
Technical documentationdocs.dolthub.comwww.ibm.com/­docs/­en/­db2-event-storekairosdb.github.iodev.mysql.com/­doc
DeveloperDoltHub IncIBMOracle infosince 2010, originally MySQL AB, then Sun
Initial release2018201720131995
Current release2.01.2.2, November 20188.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageGoC and C++JavaC and C++
Server operating systemsLinux
macOS
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimenoyes infowith proprietary extensions
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
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 infocurrently in alpha releaseyesnoyes infoproprietary syntax
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandrahorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Active-active shard replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes 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 datayesNo - written data is immutableyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
DoltIBM Db2 Event StoreKairosDBMySQL
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