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DBMS > Brytlyt vs. Google BigQuery vs. InterSystems IRIS vs. MonetDB vs. Newts

System Properties Comparison Brytlyt vs. Google BigQuery vs. InterSystems IRIS vs. MonetDB vs. Newts

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA relational database management system that stores data in columnsTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score45.81
Rank#24  Overall
#16  Relational DBMS
Score1.84
Rank#127  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#62  Relational DBMS
Score1.91
Rank#125  Overall
#60  Relational DBMS
Score0.00
Rank#358  Overall
#36  Time Series DBMS
Websitewww.brytlyt.comcloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-iriswww.monetdb.orgopennms.github.io/­newts
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wiki
DeveloperBrytlytGoogleInterSystemsMonetDB BVOpenNMS Group
Initial release20162010201820042014
Current release0.9, October 20162021.1, June 2021Oct2020-SP2, January 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDACJava
Server operating systemsLinux
OS X
Windows
hostedAIX
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesyesyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptyesyes, in SQL, C, Rno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablesSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone infoSource-replica replication available in experimental statusselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesfine grained access rights according to SQL-standardno
More information provided by the system vendor
BrytlytGoogle BigQueryInterSystems IRISMonetDBNewts
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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More resources
BrytlytGoogle BigQueryInterSystems IRISMonetDBNewts
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