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DBMS > Google BigQuery vs. ObjectBox vs. PostgreSQL vs. Riak TS

System Properties Comparison Google BigQuery vs. ObjectBox vs. PostgreSQL vs. Riak TS

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesExtremely fast embedded database for small devices, IoT and MobileWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsTime Series DBMSDocument 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
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitecloud.google.com/­bigqueryobjectbox.iowww.postgresql.org
Technical documentationcloud.google.com/­bigquery/­docsdocs.objectbox.iowww.postgresql.org/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperGoogleObjectBox LimitedPostgreSQL Global Development Group infowww.postgresql.org/­developerOpen Source, formerly Basho Technologies
Initial release201020171989 info1989: Postgres, 1996: PostgreSQL2015
Current release16.3, May 20243.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CErlang
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.no
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsyes, limited
APIs and other access methodsRESTful HTTP/JSON APIProprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Erlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesfine grained access rights according to SQL-standardno
More information provided by the system vendor
Google BigQueryObjectBoxPostgreSQLRiak TS
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