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DBMS > Apache Pinot vs. MySQL vs. Splunk vs. Trafodion

System Properties Comparison Apache Pinot vs. MySQL vs. Splunk vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMySQL  Xexclude from comparisonSplunk  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWidely used open source RDBMSAnalytics Platform for Big DataTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APISearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score88.71
Rank#14  Overall
#2  Search engines
Websitepinot.apache.orgwww.mysql.comwww.splunk.comtrafodion.apache.org
Technical documentationdocs.pinot.apache.orgdev.mysql.com/­docdocs.splunk.com/­Documentation/­Splunktrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsOracle infosince 2010, originally MySQL AB, then SunSplunk Inc.Apache Software Foundation, originally developed by HP
Initial release2015199520032014
Current release1.0.0, September 20238.3.0, January 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0
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 languageJavaC and C++C++, Java
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsno infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Proprietary native API
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesJava Stored Procedures
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
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.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache PinotMySQLSplunkTrafodion
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