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DBMS > Google BigQuery vs. HarperDB vs. PostgreSQL

System Properties Comparison Google BigQuery vs. HarperDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHarperDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score54.64
Rank#20  Overall
#14  Relational DBMS
Score0.65
Rank#280  Overall
#41  Document stores
Score612.82
Rank#4  Overall
#4  Relational DBMS
Websitecloud.google.com/­bigqueryharperdb.iowww.postgresql.org
Technical documentationcloud.google.com/­bigquery/­docsharperdb.io/­developers/­documentation/­overviewwww.postgresql.org/­docs
DeveloperGoogleHarperDBPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201020171989 info1989: Postgres, 1996: PostgreSQL
Current release3.1, August 202115.3, May 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC
Server operating systemshostedLinux
OS X
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptCustom Functions infosince release 3.1user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Google BigQueryHarperDBPostgreSQL
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