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DBMS > Brytlyt vs. Microsoft Azure Table Storage vs. PlanetScale vs. Quasardb

System Properties Comparison Brytlyt vs. Microsoft Azure Table Storage vs. PlanetScale vs. Quasardb

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries database
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebrytlyt.ioazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.comquasar.ai
Technical documentationdocs.brytlyt.ioplanetscale.com/­docsdoc.quasar.ai/­master
DeveloperBrytlytMicrosoftPlanetScalequasardb
Initial release2016201220202009
Current release5.0, August 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoC++
Server operating systemsLinux
OS X
Windows
hostedDocker
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nono
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infoproprietary syntaxno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trail

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More resources
BrytlytMicrosoft Azure Table StoragePlanetScaleQuasardb
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