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DBMS > DuckDB vs. Hazelcast vs. PostGIS vs. Trino

System Properties Comparison DuckDB vs. Hazelcast vs. PostGIS vs. Trino

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonPostGIS  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridSpatial extension of PostgreSQLFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSKey-value storeSpatial DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational 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
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteduckdb.orghazelcast.compostgis.nettrino.io
Technical documentationduckdb.org/­docshazelcast.org/­imdg/­docspostgis.net/­documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperHazelcastTrino Software Foundation
Initial release2018200820052012 info2020 rebranded from PrestoSQL
Current release1.0.0, June 20245.3.6, November 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL v2.0Open 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 languageC++JavaCJava
Server operating systemsserver-lessAll OS with a Java VMLinux
macOS infofor devlopment
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyesdepending on connected data-source
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functionsyes, depending on connected data-source
Triggersnoyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infobased on PostgreSQLdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated Mapyes infobased on PostgreSQLdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesno
User concepts infoAccess controlnoRole-based access controlyes infobased on PostgreSQLSQL standard access control
More information provided by the system vendor
DuckDBHazelcastPostGISTrino
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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More resources
DuckDBHazelcastPostGISTrino
DB-Engines blog posts

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Recent citations in the news

DuckDB promises greater stability with 1.0 release
5 June 2024, The Register

DuckDB 1.0 Released
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31 May 2024, The New Stack

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
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