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DBMS > Databricks vs. PouchDB vs. SWC-DB

System Properties Comparison Databricks vs. PouchDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPouchDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 CouchDBA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Document storeWide column store
Secondary database modelsTime Series DBMS
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
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.compouchdb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.compouchdb.com/­guides
DeveloperDatabricksApache Software FoundationAlex Kashirin
Initial release201320122020
Current release7.1.1, June 20190.5, April 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateno
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
Secondary indexesyesyes infovia views
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
JavaScriptC++
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlno
More information provided by the system vendor
DatabricksPouchDBSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPouchDBSWC-DB infoSuper Wide Column Database
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