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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Berkeley DB  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.NuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used in-process key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comwww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comdoc.nuodb.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDatabricksDassault Systèmes infooriginally NuoDB, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSTS Soft SC
Initial release2013201319942011
Current release18.1.40, May 20204.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infocommercial license availableOpen 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++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes 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.yesnoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.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
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava, SQLnono
Triggersyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesdata is dynamically stored/cached on the nodes where it is read/writtennonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoManaged transparently by NuoDBSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
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.noyes infoTemporary tableyes
User concepts infoAccess controlStandard SQL roles/ privileges, Administrative Usersnono
More information provided by the system vendor
DatabricksNuoDBOracle Berkeley DBSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksNuoDBOracle Berkeley DBSTSdb
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