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DBMS > AlaSQL vs. EDB Postgres vs. Google BigQuery

System Properties Comparison AlaSQL vs. EDB Postgres vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionJavaScript DBMS libraryThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Large scale data warehouse service with append-only tables
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Websitealasql.orgwww.enterprisedb.comcloud.google.com/­bigquery
Technical documentationgithub.com/­AlaSQL/­alasqlwww.enterprisedb.com/­docscloud.google.com/­bigquery/­docs
DeveloperAndrey Gershun & Mathias R. WulffEnterpriseDBGoogle
Initial release201420052010
Current release14, December 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infostandard with numerous extensionsyes
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions infoin JavaScript
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
AlaSQLEDB PostgresGoogle BigQuery
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