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DBMS > Apache Pinot vs. Coveo vs. IBM Db2 Event Store vs. Transwarp KunDB

System Properties Comparison Apache Pinot vs. Coveo vs. IBM Db2 Event Store vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCoveo  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed Event Store optimized for Internet of Things use casesOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSSearch engineEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitepinot.apache.orgwww.coveo.comwww.ibm.com/­products/­db2-event-storewww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.pinot.apache.orgdocs.coveo.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation and contributorsCoveoIBMTranswarp
Initial release201520122017
Current release1.0.0, September 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C#
Java
JavaScript
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnoyesyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardyes

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More resources
Apache PinotCoveoIBM Db2 Event StoreTranswarp KunDB
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