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DBMS > GridGain vs. Trino vs. TypeDB

System Properties Comparison GridGain vs. Trino vs. TypeDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonTrino  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value store
Relational DBMS
Relational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.gridgain.comtrino.iotypedb.com
Technical documentationwww.gridgain.com/­docs/­index.htmltrino.io/­broadcast
trino.io/­docs/­current
typedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGridGain Systems, Inc.Trino Software FoundationVaticle
Initial release20072012 info2020 rebranded from PrestoSQL2016
Current releaseGridGain 8.5.12.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesdepending on connected data-sourceyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
RESTful HTTP API
Trino CLI
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, depending on connected data-sourceno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on connected data-sourceSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)depending on connected data-sourceMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsSQL standard access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GridGainTrinoTypeDB infoformerly named Grakn
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
News

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22 May 2024

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8 May 2024

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24 April 2024

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15 April 2024

Time travel in Delta Lake connector
11 April 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
GridGainTrinoTypeDB infoformerly named Grakn
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