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DBMS > Brytlyt vs. Cloudflare Workers KV vs. Cubrid vs. Google BigQuery vs. Newts

System Properties Comparison Brytlyt vs. Cloudflare Workers KV vs. Cubrid vs. Google BigQuery vs. Newts

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPLarge scale data warehouse service with append-only tablesTime Series DBMS based on Cassandra
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitebrytlyt.iowww.cloudflare.com/­developer-platform/­workers-kvcubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigqueryopennms.github.io/­newts
Technical documentationdocs.brytlyt.iodevelopers.cloudflare.com/­kv/­apicubrid.org/­manualscloud.google.com/­bigquery/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperBrytlytCloudflareCUBRID Corporation, CUBRID FoundationGoogleOpenNMS Group
Initial release20162018200820102014
Current release5.0, August 202311.0, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
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
hostedLinux
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesnono
SQL infoSupport of SQLyesnoyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIHTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoJava Stored Proceduresuser defined functions infoin JavaScriptno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoSince BigQuery is designed for querying datano
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.nononono
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)no

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More resources
BrytlytCloudflare Workers KVCubridGoogle BigQueryNewts
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