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DBMS > Google BigQuery vs. Manticore Search vs. PostgreSQL vs. SQL.JS

System Properties Comparison Google BigQuery vs. Manticore Search vs. PostgreSQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMulti-storage database for search, including full-text search.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPort of SQLite to JavaScript
Primary database modelRelational DBMSSearch engineRelational 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 modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument 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
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websitecloud.google.com/­bigquerymanticoresearch.comwww.postgresql.orgsql.js.org
Technical documentationcloud.google.com/­bigquery/­docsmanual.manticoresearch.comwww.postgresql.org/­docssql.js.org/­documentation/­index.html
DeveloperGoogleManticore SoftwarePostgreSQL Global Development Group infowww.postgresql.org/­developerAlon Zakai infoenhancements implemented by others
Initial release201020171989 info1989: Postgres, 1996: PostgreSQL2012
Current release6.0, February 202316.4, August 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++CJavaScript
Server operating systemshostedFreeBSD
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query languageyes infostandard with numerous extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarySource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.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.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
Google BigQueryManticore SearchPostgreSQLSQL.JS
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