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DBMS > EXASOL vs. Google BigQuery vs. H2 vs. Postgres-XL vs. PostgreSQL

System Properties Comparison EXASOL vs. Google BigQuery vs. H2 vs. Postgres-XL vs. PostgreSQL

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonH2  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document 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
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitewww.exasol.comcloud.google.com/­bigquerywww.h2database.comwww.postgres-xl.orgwww.postgresql.org
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docswww.h2database.com/­html/­main.htmlwww.postgres-xl.org/­documentationwww.postgresql.org/­docs
DeveloperExasolGoogleThomas MuellerPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2000201020052014 infosince 2012, originally named StormDB1989 info1989: Postgres, 1996: PostgreSQL
Current release2.2.220, July 202310 R1, October 201816.4, August 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMozilla public licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaCC
Server operating systemshostedAll OS with a Java VMLinux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionalityyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes infodistributed, parallel query executionyes infostandard with numerous extensions
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptJava Stored Procedures and User-Defined Functionsuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EXASOLGoogle BigQueryH2Postgres-XLPostgreSQL
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