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DBMS > AlaSQL vs. Google BigQuery vs. Microsoft Azure AI Search vs. PostgreSQL vs. RDFox

System Properties Comparison AlaSQL vs. Google BigQuery vs. Microsoft Azure AI Search vs. PostgreSQL vs. RDFox

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionJavaScript DBMS libraryLarge scale data warehouse service with append-only tablesSearch-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store
Relational DBMS
Relational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
RDF store
Secondary database modelsVector DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitealasql.orgcloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­searchwww.postgresql.orgwww.oxfordsemantic.tech
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docsdocs.oxfordsemantic.tech
DeveloperAndrey Gershun & Mathias R. WulffGoogleMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerOxford Semantic Technologies
Initial release2014201020151989 info1989: Postgres, 1996: PostgreSQL2017
Current releaseV116.3, May 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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.
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes infostandard with numerous extensionsno
APIs and other access methodsJavaScript APIRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaScript.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoSince BigQuery is designed for querying datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
AlaSQLGoogle BigQueryMicrosoft Azure AI SearchPostgreSQLRDFox
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