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DBMS > Databricks vs. OpenEdge vs. Oracle Berkeley DB vs. Yanza

System Properties Comparison Databricks vs. OpenEdge vs. Oracle Berkeley DB vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Application development environment with integrated database management systemWidely used in-process key-value storeTime Series DBMS for IoT Applications
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
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitewww.databricks.comwww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlyanza.com
Technical documentationdocs.databricks.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDatabricksProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleYanza
Initial release2013198419942015
Current releaseOpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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.yesyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesPython
R
Scala
Progress proprietary ABL (Advanced Business Language).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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnono
Triggersyesyes infoonly for the SQL APIyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.nonoyes
User concepts infoAccess controlUsers and groupsnono
More information provided by the system vendor
DatabricksOpenEdgeOracle Berkeley DBYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOpenEdgeOracle Berkeley DBYanza
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