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

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

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparisonSiteWhere  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 scalabilityTime Series DBMS based on CassandraM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series 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
Score0.00
Rank#358  Overall
#36  Time Series DBMS
Score0.02
Rank#336  Overall
#32  Time Series DBMS
Websitewww.brytlyt.comcloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-irisopennms.github.io/­newtssitewhere.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wikisitewhere.io/­docs/­2.1.0
DeveloperBrytlytGoogleInterSystemsOpenNMS GroupSiteWhere
Initial release20162010201820142010
Current release0.9, October 20162021.1, June 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
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 CUDAJavaJava
Server operating systemsLinux
OS X
Windows
hostedAIX
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesdepending on used data modelschema-freepredefined scheme
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.noyesnono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesyesyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
HTTP REST
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
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on Cassandraselectable replication factor infobased on HBase
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
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDnono
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.noyesnono
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)yesnoUsers with fine-grained authorization concept

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More resources
BrytlytGoogle BigQueryInterSystems IRISNewtsSiteWhere
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