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DBMS > GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Trino

System Properties Comparison GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Trino

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
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
Score1.73
Rank#174  Overall
#29  Document stores
#8  Object oriented DBMS
Score23.28
Rank#32  Overall
#19  Relational DBMS
Score5.89
Rank#73  Overall
#39  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticstrino.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analyticstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterGitHubYouTube
DeveloperGigaspaces TechnologiesMicrosoftTrino Software Foundation
Initial release200020162012 info2020 rebranded from PrestoSQL
Current release15.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
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++, .NetC++Java
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinux
macOS infofor devlopment
Data schemeschema-freeyesyes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLSQL-99 for query and DML statementsyesyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
PHP
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesTransact SQLyes, depending on connected data-source
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
User concepts infoAccess controlRole-based access controlyesSQL standard access control
More information provided by the system vendor
GigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrino
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 metrics28250+ commits in GitHub 5750+ stargazers in GitHub 6950+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
News

Trino at Open Source Summit North America 2023
15 May 2023

47: Meet the new Trino maintainers
5 May 2023

Refreshing at the lakehouse summer camp
3 May 2023

Just the right time date predicates with Iceberg
11 April 2023

Polish edition of Trino: The Definitive Guide
6 April 2023

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.

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More resources
GigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrino
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