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DBMS > Databricks vs. Oracle Berkeley DB vs. Percona Server for MongoDB vs. VelocityDB

System Properties Comparison Databricks vs. Oracle Berkeley DB vs. Percona Server for MongoDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonVelocityDB  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 storeA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
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 storeGraph DBMS
Object oriented 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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.databricks.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.percona.com/­mongodb/­software/­percona-server-for-mongodbvelocitydb.com
Technical documentationdocs.databricks.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.percona.com/­percona-distribution-for-mongodbvelocitydb.com/­UserGuide
DeveloperDatabricksOracle infooriginally developed by Sleepycat, which was acquired by OraclePerconaVelocityDB Inc
Initial release2013199420152011
Current release18.1.40, May 20203.4.10-2.10, November 20177.x
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoGPL Version 2commercial
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)C++C#
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxAny that supports .NET
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes
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 editionnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON.Net
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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJavaScriptno
Triggersyes infoonly for the SQL APInoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlnoAccess rights for users and rolesBased on Windows Authentication
More information provided by the system vendor
DatabricksOracle Berkeley DBPercona Server for MongoDBVelocityDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOracle Berkeley DBPercona Server for MongoDBVelocityDB
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