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DBMS > FeatureBase vs. FileMaker vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Trino

System Properties Comparison FeatureBase vs. FileMaker vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Trino

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully managed big data interactive analytics platformA fully ACID in-memory object graph databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS infocolumn orientedDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.featurebase.comwww.claris.com/­filemakerazure.microsoft.com/­services/­data-explorerorigodb.comtrino.io
Technical documentationdocs.featurebase.comwww.claris.com/­resources/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperMolecula and Pilosa Open Source ContributorsClaris infoa subsidiary of AppleMicrosoftRobert Friberg et alTrino Software Foundation
Initial release2017198320192009 infounder the name LiveDB2012 info2020 rebranded from PrestoSQL
Current release2022, May 202219.4.1, November 2021cloud service with continuous releases
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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#Java
Server operating systemsLinux
macOS
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
Windows
Linux
macOS infofor devlopment
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collectionsyes
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.noyes infoA http query request can return the data in XML formatyesno infocan be achieved using .NETno
Secondary indexesnoyesall fields are automatically indexedyesdepending on connected data-source
SQL infoSupport of SQLSQL queriesyes infovia pluginsKusto Query Language (KQL), SQL subsetnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Filemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJava
Python
PHP.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Ryesyes, depending on connected data-source
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizeddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
depending on connected data-source
Foreign keys infoReferential integrityyesyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes infoWrite ahead logdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAzure Active Directory AuthenticationRole based authorizationSQL standard access control
More information provided by the system vendor
FeatureBaseFileMakerMicrosoft Azure Data ExplorerOrigoDBTrino
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
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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
FeatureBaseFileMakerMicrosoft Azure Data ExplorerOrigoDBTrino
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