DBMS > MongoDB vs. Trino
System Properties Comparison MongoDB vs. Trino
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|Editorial information provided by DB-Engines|
|Name||MongoDB Xexclude from comparison||Trino Xexclude from comparison|
|Description||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL|
|Primary database model||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Time Series DBMS
Wide column store
|Social network pages|
|Developer||MongoDB, Inc||Trino Software Foundation|
|Initial release||2009||2012 2020 rebranded from PrestoSQL|
|Current release||6.0.1, August 2022|
|License Commercial or Open Source||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.||Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.|
|Server operating systems||Linux|
macOS for devlopment
|Data scheme||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||yes|
|Typing predefined data types such as float or date||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|Secondary indexes||yes||depending on connected data-source|
|SQL Support of SQL||Read-only SQL queries via the MongoDB Connector for BI||yes|
|APIs and other access methods||proprietary protocol using JSON||JDBC|
RESTful HTTP API
|Supported programming languages||Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes in MongoDB Atlas only||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||depending on connected data-source|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|depending on connected data-source|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|depending on connected data-source|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Multi-document ACID Transactions with snapshot isolation||depending on connected data-source|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes optional, enabled by default||depending on connected data-source|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||Access rights for users and roles||SQL standard access control|
|More information provided by the system vendor|
|Specific characteristics||Trino is the fastest open source, massively parallel processing SQL query engine...|
|Competitive advantages||High performance analtyics and data processing of very large data sets Powerful ANSI...|
|Typical application scenarios||Performant analytics query engine for data warehouses, data lakes, and data lakehouses...|
|Key customers||Trino is widely adopted across the globe as freely-available open source software....|
|Market metrics||28250+ commits in GitHub 5750+ stargazers in GitHub 6950+ pull requests merged in...|
|Licensing and pricing models||Trino is an open source project and usage is therefore free. Commercial offerings...|
44: Seeing clearly with Metabase
The rabbit reflects on Trino in 2022
Cleaning up the Trino pull request backlog
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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