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DBMS > Google BigQuery vs. Hyprcubd vs. LokiJS vs. PostgreSQL vs. SQL.JS

System Properties Comparison Google BigQuery vs. Hyprcubd vs. LokiJS vs. PostgreSQL vs. SQL.JS

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHyprcubd  Xexclude from comparisonLokiJS  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionLarge scale data warehouse service with append-only tablesServerless Time Series DBMSIn-memory JavaScript DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPort of SQLite to JavaScript
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitecloud.google.com/­bigqueryhyprcubd.com (offline)github.com/­techfort/­LokiJSwww.postgresql.orgsql.js.org
Technical documentationcloud.google.com/­bigquery/­docstechfort.github.io/­LokiJSwww.postgresql.org/­docssql.js.org/­documentation/­index.html
DeveloperGoogleHyprcubd, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerAlon Zakai infoenhancements implemented by others
Initial release201020141989 info1989: Postgres, 1996: PostgreSQL2012
Current release16.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptCJavaScript
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnoyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnonoyes infovia viewsyes
SQL infoSupport of SQLyesSQL-like query languagenoyes infostandard with numerous extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIgRPC (https)JavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoView functions in JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistencynone
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanono infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)token accessnofine grained access rights according to SQL-standardno

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More resources
Google BigQueryHyprcubdLokiJSPostgreSQLSQL.JS
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