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DBMS > BoltDB vs. RocksDB vs. TerminusDB vs. Trino

System Properties Comparison BoltDB vs. RocksDB vs. TerminusDB vs. Trino

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonRocksDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­boltdb/­boltrocksdb.orgterminusdb.comtrino.io
Technical documentationgithub.com/­facebook/­rocksdb/­wikiterminusdb.github.io/­terminusdb/­#trino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperFacebook, Inc.DataChemist Ltd.Trino Software Foundation
Initial release2013201320182012 info2020 rebranded from PrestoSQL
Current release8.11.4, April 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSDOpen Source infoGPL V3Open 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 languageGoC++Prolog, RustJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
macOS infofor devlopment
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nononono
Secondary indexesnonodepending on connected data-source
SQL infoSupport of SQLnonoSQL-like query language (WOQL)yes
APIs and other access methodsC++ API
Java API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGoC
C++
Go
Java
Perl
Python
Ruby
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes, depending on connected data-source
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningGraph Partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesJournaling Streamsdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoRole-based access controlSQL standard access control
More information provided by the system vendor
BoltDBRocksDBTerminusDB infoformer name was DataChemistTrino
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

We invite representatives of system vendors to contact us for updating and extending the system information,
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
BoltDBRocksDBTerminusDB infoformer name was DataChemistTrino
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