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DBMS > Databricks vs. InterSystems IRIS vs. KeyDB vs. PouchDB

System Properties Comparison Databricks vs. InterSystems IRIS vs. KeyDB vs. PouchDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKeyDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.databricks.comwww.intersystems.com/­products/­intersystems-irisgithub.com/­Snapchat/­KeyDB
keydb.dev
pouchdb.com
Technical documentationdocs.databricks.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.keydb.devpouchdb.com/­guides
DeveloperDatabricksInterSystemsEQ Alpha Technology Ltd.Apache Software Foundation
Initial release2013201820192012
Current release2023.3, June 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScript
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)depending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.yesyesnono
Secondary indexesyesyesyes infoby using the Redis Search moduleyes infovia views
SQL infoSupport of SQLwith Databricks SQLyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesLuaView functions in JavaScript
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlyessimple password-based access control and ACLno
More information provided by the system vendor
DatabricksInterSystems IRISKeyDBPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

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DatabricksInterSystems IRISKeyDBPouchDB
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