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DBMS > Databricks vs. Immudb vs. Netezza vs. Trino

System Properties Comparison Databricks vs. Immudb vs. Netezza vs. Trino

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument 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
Score0.31
Rank#295  Overall
#42  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.databricks.comgithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzatrino.io
Technical documentationdocs.databricks.comdocs.immudb.iotrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDatabricksCodenotaryIBMTrino Software Foundation
Initial release2013202020002012 info2020 rebranded from PrestoSQL
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen 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 languageGoJava
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceLinux
macOS infofor devlopment
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
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 indexesyesyesyesdepending on connected data-source
SQL infoSupport of SQLwith Databricks SQLSQL-like syntaxyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptSQL standard access control
More information provided by the system vendor
DatabricksImmudbNetezza infoAlso called PureData System for Analytics by IBMTrino
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...
» 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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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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