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DBMS > Brytlyt vs. Cubrid vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. Newts

System Properties Comparison Brytlyt vs. Cubrid vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. Newts

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score1.44
Rank#168  Overall
#77  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Websitebrytlyt.iocubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticsopennms.github.io/­newts
Technical documentationdocs.brytlyt.iocubrid.org/­manualscloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticsgithub.com/­OpenNMS/­newts/­wiki
DeveloperBrytlytCUBRID Corporation, CUBRID FoundationGoogleMicrosoftOpenNMS Group
Initial release20162008201020162014
Current release5.0, August 202311.0, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC, C++, JavaC++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedhostedLinux
OS X
Windows
Data schemeyesyesyesyesschema-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.nononono
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 APIADO.NET
JDBC
ODBC
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
C#
Java
PHP
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLJava Stored Proceduresuser defined functions infoin JavaScriptTransact SQLno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesselectable 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 integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
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.nonono
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 BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNewts
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