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DBMS > Oracle Berkeley DB vs. PouchDB vs. Spark SQL vs. VelocityDB

System Properties Comparison Oracle Berkeley DB vs. PouchDB vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comspark.apache.org/­sqlvelocitydb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationApache Software FoundationVelocityDB Inc
Initial release1994201220142011
Current release18.1.40, May 20207.1.1, June 20193.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)JavaScriptScalaC#
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.yes infoonly with the Berkeley DB XML editionnonono
Secondary indexesyesyes infovia viewsnoyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
.Net
Supported programming languages.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
JavaScriptJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnoView functions in JavaScriptnono
Triggersyes infoonly for the SQL APIyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-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 systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyesnoyes
User concepts infoAccess controlnononoBased on Windows Authentication

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More resources
Oracle Berkeley DBPouchDBSpark SQLVelocityDB
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