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DBMS > InterSystems Caché vs. IRONdb vs. Prometheus vs. Realm vs. Sqrrl

System Properties Comparison InterSystems Caché vs. IRONdb vs. Prometheus vs. Realm vs. Sqrrl

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonIRONdb  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA multi-model DBMS and application serverA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.intersystems.com/­products/­cachewww.circonus.com/solutions/time-series-database/prometheus.iorealm.iosqrrl.com
Technical documentationdocs.intersystems.comdocs.circonus.com/irondb/category/getting-startedprometheus.io/­docsrealm.io/­docs
DeveloperInterSystemsCirconus LLC.Realm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.
Initial release19972017201520142012
Current release2018.1.4, May 2020V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemedepending on used data modelschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsNumeric data onlyyesyes
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.yesnono infoImport of XML data possibleno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nonono
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyes, in Luanono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awareyes infoby Federationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesnoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and rolesnonoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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InterSystems CachéIRONdbPrometheusRealmSqrrl
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