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DBMS > Google BigQuery vs. HyperSQL vs. JaguarDB vs. Microsoft Azure Table Storage

System Properties Comparison Google BigQuery vs. HyperSQL vs. JaguarDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBPerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMSKey-value storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score36.00
Rank#24  Overall
#15  Relational DBMS
Score5.42
Rank#66  Overall
#38  Relational DBMS
Score0.05
Rank#313  Overall
#49  Key-value stores
Score5.28
Rank#70  Overall
#5  Wide column stores
Websitecloud.google.com/­bigqueryhsqldb.orgwww.datajaguar.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­bigquery/­docshsqldb.org/­web/­hsqlDocsFrame.htmlwww.datajaguar.com/­support.php
DeveloperGoogleDataJaguar, Inc.Microsoft
Initial release2010200120152012
Current release2.5.2, June 20202.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP/JSON APIHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptJava, SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnooptimistic 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.noyesnono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accountsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google BigQueryHyperSQL infoalso known as HSQLDBJaguarDBMicrosoft Azure Table Storage
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google BigQueryHyperSQL infoalso known as HSQLDBJaguarDBMicrosoft Azure Table Storage
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