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DBMS > Amazon DocumentDB vs. Netezza vs. Trino vs. XTDB

System Properties Comparison Amazon DocumentDB vs. Netezza vs. Trino vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTrino  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceData warehouse and analytics appliance part of IBM PureSystemsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
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
Score1.91
Rank#132  Overall
#24  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­netezzatrino.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcestrino.io/­broadcast
trino.io/­docs/­current
www.xtdb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperIBMTrino Software FoundationJuxt Ltd.
Initial release201920002012 info2020 rebranded from PrestoSQL2019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoMIT License
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 languageJavaClojure
Server operating systemshostedLinux infoincluded in applianceLinux
macOS infofor devlopment
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLnoyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
HTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoyesyes, depending on connected data-sourceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationdepending on connected data-sourceyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptSQL standard access control
More information provided by the system vendor
Amazon DocumentDBNetezza infoAlso called PureData System for Analytics by IBMTrinoXTDB infoformerly named Crux
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
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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
Amazon DocumentDBNetezza infoAlso called PureData System for Analytics by IBMTrinoXTDB infoformerly named Crux
Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services
8 March 2024, AWS Blog

Game Developer's Guide to Amazon DocumentDB (with MongoDB compatibility) Part Three: Operation Best Practices ...
25 January 2024, AWS Blog

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15 April 2024, AWS Blog

provided by Google News

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1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

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12 August 2020, ibm.com

IBM Brings Back a Netezza, Attacks Yellowbrick
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