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DBMS > Databricks vs. PouchDB vs. YTsaurus

System Properties Comparison Databricks vs. PouchDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPouchDB  Xexclude from comparisonYTsaurus  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 CouchDBYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Key-value 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
Score2.28
Rank#115  Overall
#21  Document stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.databricks.compouchdb.comytsaurus.tech
Technical documentationdocs.databricks.compouchdb.com/­guidesytsaurus.tech/­docs/­en
DeveloperDatabricksApache Software FoundationYandex
Initial release201320122023
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache License, Version 2.0
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)Ubuntu
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyes
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 SQLnoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
JavaScriptC++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScript
Triggersyes
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
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes
User concepts infoAccess controlnoAccess Control Lists
More information provided by the system vendor
DatabricksPouchDBYTsaurus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksPouchDBYTsaurus
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