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

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

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#265  Overall
#123  Relational DBMS
Score1.36
Rank#148  Overall
#73  Relational DBMS
Score45.01
Rank#24  Overall
#16  Relational DBMS
Score2.06
Rank#121  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#60  Relational DBMS
Score0.00
Rank#353  Overall
#33  Time Series DBMS
Websitewww.brytlyt.comcubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-irisopennms.github.io/­newts
Technical documentationcubrid.org/­manualscloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wiki
DeveloperBrytlytCUBRID Corporation, CUBRID FoundationGoogleInterSystemsOpenNMS Group
Initial release20162008201020182014
Current release0.9, October 201611.0, January 20212021.1, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercialOpen Source infoApache 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.
Implementation languageC, C++ and CUDAC, C++, JavaJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedAIX
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesdepending on used data modelschema-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.nonoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyesyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLJava Stored Proceduresuser defined functions infoin JavaScriptyesno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationselectable 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 ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACIDno
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesno

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More resources
BrytlytCubridGoogle BigQueryInterSystems IRISNewts
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