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DBMS > Amazon Redshift vs. InterSystems Caché vs. ObjectBox vs. Postgres-XL vs. VelocityDB

System Properties Comparison Amazon Redshift vs. InterSystems Caché vs. ObjectBox vs. Postgres-XL vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA multi-model DBMS and application serverLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Object oriented DBMS
Vector DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­redshiftwww.intersystems.com/­products/­cachegithub.com/­objectbox
objectbox.io
www.postgres-xl.orgvelocitydb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.intersystems.comdocs.objectbox.iowww.postgres-xl.org/­documentationvelocitydb.com/­UserGuide
DeveloperAmazon (based on PostgreSQL)InterSystemsObjectBox LimitedVelocityDB Inc
Initial release2012199720172014 infosince 2012, originally named StormDB2011
Current release2018.1.4, May 20204.0 (May 2024)10 R1, October 20187.x
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++CC#
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
Any that supports .NET
Data schemeyesdepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyesyes
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.noyesnoyes infoXML type, but no XML query functionalityno
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnoyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesnouser defined functionsno
TriggersnoyesnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
Amazon RedshiftInterSystems CachéObjectBoxPostgres-XLVelocityDB
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