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DBMS > atoti vs. MonetDB vs. Qdrant vs. Trino

System Properties Comparison atoti vs. MonetDB vs. Qdrant vs. Trino

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelObject oriented DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websiteatoti.iowww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
trino.io
Technical documentationdocs.atoti.iowww.monetdb.org/­Documentationqdrant.tech/­documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperActiveViamMonetDB BVQdrantTrino Software Foundation
Initial release200420212012 info2020 rebranded from PrestoSQL
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaCRustJava
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textdepending on connected data-source
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresPythonyes, in SQL, C, Ryes, depending on connected data-source
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCollection-level replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencydepending on connected data-source
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authenticationSQL standard access control
More information provided by the system vendor
atotiMonetDBQdrantTrino
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

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

58: Understanding your users with Trino and Mitzu
4 April 2024

57: Seeing clearly with OpenTelemetry
14 March 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
atotiMonetDBQdrantTrino
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