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DBMS > OpenQM vs. RocksDB vs. SpaceTime vs. Trino

System Properties Comparison OpenQM vs. RocksDB vs. SpaceTime vs. Trino

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonRocksDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)SpaceTime is a spatio-temporal DBMS with a focus on performance.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelMultivalue DBMSKey-value storeSpatial 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
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrocksdb.orgwww.mireo.com/­spacetimetrino.io
Technical documentationgithub.com/­facebook/­rocksdb/­wikitrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperRocket Software, originally Martin PhillipsFacebook, Inc.MireoTrino Software Foundation
Initial release1993201320202012 info2020 rebranded from PrestoSQL
Current release3.4-129.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSDcommercialOpen 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++C++Java
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
LinuxLinuxLinux
macOS infofor devlopment
Data schemeyes infowith some exceptionsschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.yesnonono
Secondary indexesyesnonodepending on connected data-source
SQL infoSupport of SQLnonoA subset of ANSI SQL is implementedyes
APIs and other access methodsC++ API
Java API
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesnonoyes, depending on connected data-source
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningFixed-grid hypercubesdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesReal-time block device replication (DRBD)depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnodepending 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.yesno
User concepts infoAccess controlAccess rights can be defined down to the item levelnoyesSQL standard access control
More information provided by the system vendor
OpenQM infoalso called QMRocksDBSpaceTimeTrino
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...
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Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
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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...
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News

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6 June 2024

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22 May 2024

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8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OpenQM infoalso called QMRocksDBSpaceTimeTrino
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