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DBMS > Databricks vs. PouchDB vs. Riak KV vs. searchxml

System Properties Comparison Databricks vs. PouchDB vs. Riak KV vs. searchxml

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPouchDB  Xexclude from comparisonRiak KV  Xexclude from comparisonsearchxml  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.JavaScript DBMS with an API inspired by CouchDBDistributed, fault tolerant key-value storeDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Relational DBMS
Document storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.databricks.compouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.databricks.compouchdb.com/­guideswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.searchxml.net/­support/­handouts
DeveloperDatabricksApache Software FoundationOpenSource, formerly Basho Technologiesinformationpartners gmbh
Initial release2013201220092015
Current release7.1.1, June 20193.2.0, December 20221.0
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptErlangC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyes
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.yesnonoyes
Secondary indexesyesyes infovia viewsrestrictedyes
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesPython
R
Scala
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptErlangyes infoon the application server
Triggersyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoyes, using Riak SecurityDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
DatabricksPouchDBRiak KVsearchxml
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksPouchDBRiak KVsearchxml
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