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DBMS > Amazon Redshift vs. FeatureBase vs. InterSystems Caché vs. Kinetica vs. Prometheus

System Properties Comparison Amazon Redshift vs. FeatureBase vs. InterSystems Caché vs. Kinetica vs. Prometheus

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFeatureBase  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonPrometheus  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 toolsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A multi-model DBMS and application serverFully vectorized database across both GPUs and CPUsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.featurebase.comwww.intersystems.com/­products/­cachewww.kinetica.comprometheus.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.featurebase.comdocs.intersystems.comdocs.kinetica.comprometheus.io/­docs
DeveloperAmazon (based on PostgreSQL)Molecula and Pilosa Open Source ContributorsInterSystemsKinetica
Initial release20122017199720122015
Current release2022, May 20222018.1.4, May 20207.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
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 languageCGoC, C++Go
Server operating systemshostedLinux
macOS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Data schemeyesyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.nonoyesnono infoImport of XML data possible
Secondary indexesrestrictednoyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL queriesyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
C#
C++
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesuser defined functionsno
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users and roles on table levelno

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More resources
Amazon RedshiftFeatureBaseInterSystems CachéKineticaPrometheus
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