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DBMS > Google BigQuery vs. NSDb vs. Raima Database Manager vs. Trino

System Properties Comparison Google BigQuery vs. NSDb vs. Raima Database Manager vs. Trino

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNSDb  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesRDBMS with a small footprint, either embedded into an application or used as a database serverFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Time Series DBMS
Relational DBMS
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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitecloud.google.com/­bigquerynsdb.ioraima.comtrino.io
Technical documentationcloud.google.com/­bigquery/­docsnsdb.io/­Architecturedocs.raima.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGoogleRaima Inc.Trino Software Foundation
Initial release2010201719842012 info2020 rebranded from PrestoSQL
Current release15, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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, ScalaCJava
Server operating systemshostedLinux
macOS
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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.nonono infoExporting/Importing of XML structures possibleno
Secondary indexesnoall fields are automatically indexedyesdepending on connected data-source
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP/JSON APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Scala
.Net
C
C++
Objective-C
PL/SQL
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes, depending on connected data-source
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationdepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesdepending 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 controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noSQL standard access control
More information provided by the system vendor
Google BigQueryNSDbRaima Database Manager infoformerly named db_VistaTrino
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
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Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Trino is widely adopted across the globe as freely-available open source software....
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Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
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33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
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News

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8 October 2020

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1 October 2020

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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
Google BigQueryNSDbRaima Database Manager infoformerly named db_VistaTrino
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