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DBMS > Apache Pinot vs. EventStoreDB vs. IBM Db2 warehouse

System Properties Comparison Apache Pinot vs. EventStoreDB vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.Cloud-based data warehousing service
Primary database modelRelational DBMSEvent StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websitepinot.apache.orgwww.eventstore.comwww.ibm.com/­products/­db2/­warehouse
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.com
DeveloperApache Software Foundation and contributorsEvent Store LimitedIBM
Initial release201520122014
Current release1.0.0, September 202321.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no infoImport/export of XML data possible
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresPL/SQL, SQL PL
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache PinotEventStoreDBIBM Db2 warehouse infoformerly named IBM dashDB
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