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DBMS > Coveo vs. IBM Db2 Event Store vs. Transwarp KunDB vs. Trino

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

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAI-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 OracleFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelSearch engineEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.coveo.comwww.ibm.com/­products/­db2-event-storewww.transwarp.cn/­en/­product/­kundbtrino.io
Technical documentationdocs.coveo.comwww.ibm.com/­docs/­en/­db2-event-storetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCoveoIBMTranswarpTrino Software Foundation
Initial release201220172012 info2020 rebranded from PrestoSQL
Current release2.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC and C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
macOS infofor devlopment
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonono
Secondary indexesyesnoyesdepending on connected data-source
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesyesyes, depending on connected data-source
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesdepending on connected data-source
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-standardyesSQL standard access control
More information provided by the system vendor
CoveoIBM Db2 Event StoreTranswarp KunDBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

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22 May 2024

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8 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CoveoIBM Db2 Event StoreTranswarp KunDBTrino
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