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DBMS > Databricks vs. Oracle Berkeley DB vs. PouchDB vs. STSdb

System Properties Comparison Databricks vs. Oracle Berkeley DB vs. PouchDB vs. STSdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  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.Widely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guides
DeveloperDatabricksOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationSTS Soft SC
Initial release2013199420122011
Current release18.1.40, May 20207.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)JavaScriptC#
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes infoprimitive types and user defined types (classes)
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.yesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLwith Databricks SQLyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesPython
R
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScriptC#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoView functions in JavaScriptno
Triggersyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes
User concepts infoAccess controlnonono
More information provided by the system vendor
DatabricksOracle Berkeley DBPouchDBSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOracle Berkeley DBPouchDBSTSdb
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