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

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

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonPrometheus  Xexclude from comparisonRRDtool  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 serverFully vectorized database across both GPUs and CPUsOpen-source Time Series DBMS and monitoring systemIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.intersystems.com/­products/­cachewww.kinetica.comprometheus.iooss.oetiker.ch/­rrdtool
Technical documentationdocs.aws.amazon.com/­redshiftdocs.intersystems.comdocs.kinetica.comprometheus.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazon (based on PostgreSQL)InterSystemsKineticaTobias Oetiker
Initial release20121997201220151999
Current release2018.1.4, May 20207.1, August 20211.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
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, C++GoC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
HP-UX
Linux
Data schemeyesdepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyNumeric 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.noyesnono infoImport of XML data possibleno infoExporting into and restoring from XML files possible
Secondary indexesrestrictedyesyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIin-process shared library
Pipes
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesuser defined functionsnono
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnonenone
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
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.yesyesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users and roles on table levelnono

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More resources
Amazon RedshiftInterSystems CachéKineticaPrometheusRRDtool
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