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DBMS > Amazon Redshift vs. Badger vs. Google Cloud Spanner vs. SQLite vs. Transbase

System Properties Comparison Amazon Redshift vs. Badger vs. Google Cloud Spanner vs. SQLite vs. Transbase

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSQLite  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Widely used embeddable, in-process RDBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Score0.05
Rank#355  Overall
#150  Relational DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­dgraph-io/­badgercloud.google.com/­spannerwww.sqlite.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­redshiftgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­spanner/­docswww.sqlite.org/­docs.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazon (based on PostgreSQL)DGraph LabsGoogleDwayne Richard HippTransaction Software GmbH
Initial release20122017201720001987
Current release3.46.1  (13 August 2024), August 2024Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoPublic Domaincommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoCC and C++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
hostedserver-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesnoyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nonononono
Secondary indexesrestrictednoyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infoQuery statements complying to ANSI 2011yes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCGoGo
Java
JavaScript (Node.js)
Python
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
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnononoyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication with 3 replicas for regional instances.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.yesnonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Amazon RedshiftBadgerGoogle Cloud SpannerSQLiteTransbase
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