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DBMS > Brytlyt vs. Google Cloud Bigtable vs. HyperSQL vs. Microsoft Azure Table Storage

System Properties Comparison Brytlyt vs. Google Cloud Bigtable vs. HyperSQL vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitebrytlyt.iocloud.google.com/­bigtablehsqldb.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.brytlyt.iocloud.google.com/­bigtable/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperBrytlytGoogleMicrosoft
Initial release2016201520012012
Current release5.0, August 20232.7.2, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoJava, SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
BrytlytGoogle Cloud BigtableHyperSQL infoalso known as HSQLDBMicrosoft Azure Table Storage
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