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DBMS > Badger vs. Brytlyt vs. FileMaker vs. Trino vs. VelocityDB

System Properties Comparison Badger vs. Brytlyt vs. FileMaker vs. Trino vs. VelocityDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonTrino  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakertrino.iovelocitydb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationtrino.io/­broadcast
trino.io/­docs/­current
velocitydb.com/­UserGuide
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDGraph LabsBrytlytClaris infoa subsidiary of AppleTrino Software FoundationVelocityDB Inc
Initial release2017201619832012 info2020 rebranded from PrestoSQL2011
Current release5.0, August 202319.4.1, November 20217.x
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
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, C++ and CUDAJavaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS infofor devlopment
Any that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatnono
Secondary indexesnoyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLnoyesyes infovia pluginsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
.Net
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPGo
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesyes, depending on connected data-sourceno
TriggersnoyesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonenonedepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesSQL standard access controlBased on Windows Authentication
More information provided by the system vendor
BadgerBrytlytFileMakerTrinoVelocityDB
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
BadgerBrytlytFileMakerTrinoVelocityDB
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