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DBMS > Amazon Redshift vs. Google BigQuery vs. SQLite vs. SQream DB vs. Transbase

System Properties Comparison Amazon Redshift vs. Google BigQuery vs. SQLite vs. SQream DB vs. Transbase

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSQLite  Xexclude from comparisonSQream DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsLarge scale data warehouse service with append-only tablesWidely used embeddable, in-process RDBMSa GPU-based, columnar RDBMS for big data analytics workloadsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.sqlite.orgsqream.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docswww.sqlite.org/­docs.htmldocs.sqream.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazon (based on PostgreSQL)GoogleDwayne Richard HippSQream TechnologiesTransaction Software GmbH
Initial release20122010200020171987
Current release3.46.0  (23 May 2024), May 20242022.1.6, December 2022Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic Domaincommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++, CUDA, Haskell, Java, ScalaC and C++
Server operating systemshostedhostedserver-lessLinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes infodynamic column typesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes, ANSI Standard SQL 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.nononono
Secondary indexesrestrictednoyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyes infoSQL-92 is not fully supportedyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptnouser defined functions in Pythonyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
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