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DBMS > Google BigQuery vs. H2GIS vs. PostgreSQL vs. Sequoiadb vs. SQream DB

System Properties Comparison Google BigQuery vs. H2GIS vs. PostgreSQL vs. Sequoiadb vs. SQream DB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonH2GIS  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSequoiadb  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesSpatial extension of H2Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLNewSQL database with distributed OLTP and SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Relational DBMS
Relational DBMS
Secondary database modelsRelational 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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecloud.google.com/­bigquerywww.h2gis.orgwww.postgresql.orgwww.sequoiadb.comsqream.com
Technical documentationcloud.google.com/­bigquery/­docswww.h2gis.org/­docs/­homewww.postgresql.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.sqream.com
DeveloperGoogleCNRSPostgreSQL Global Development Group infowww.postgresql.org/­developerSequoiadb Ltd.SQream Technologies
Initial release201020131989 info1989: Postgres, 1996: PostgreSQL20132017
Current release16.3, May 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes, ANSI Standard SQL Types
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 indexesnoyesyesyesno
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSON.Net
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infobased on H2user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.JavaScriptuser defined functions in Python
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infobased on H2fine grained access rights according to SQL-standardsimple password-based access control

More information provided by the system vendor

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More resources
Google BigQueryH2GISPostgreSQLSequoiadbSQream DB
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