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DBMS > Databricks vs. IBM Db2 Event Store vs. Trino

System Properties Comparison Databricks vs. IBM Db2 Event Store vs. Trino

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Distributed Event Store optimized for Internet of Things use casesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Event Store
Time Series DBMS
Relational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.databricks.comwww.ibm.com/­products/­db2-event-storetrino.io
Technical documentationdocs.databricks.comwww.ibm.com/­docs/­en/­db2-event-storetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDatabricksIBMTrino Software Foundation
Initial release201320172012 info2020 rebranded from PrestoSQL
Current release2.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
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 schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesnono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLwith Databricks SQLyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesPython
R
Scala
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 proceduresuser defined functions and aggregatesyesyes, depending on connected data-source
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending 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 methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-source
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 storagedepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
DatabricksIBM Db2 Event StoreTrino
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Trino 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...
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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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15 April 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
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