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DBMS > dBASE vs. HBase vs. Hive vs. Oracle Berkeley DB

System Properties Comparison dBASE vs. HBase vs. Hive vs. Oracle Berkeley DB

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NamedBASE  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used in-process key-value store
Primary database modelRelational DBMSWide column storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.dbase.comhbase.apache.orghive.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.dbase.com/­support/­knowledgebasehbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAsthon TateApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release1979200820121994
Current releasedBASE 2019, 20192.3.4, January 20213.1.3, April 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Supported programming languagesdBase proprietary IDEC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.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
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceno
Triggersnoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSSingle row ACID (across millions of columns)noACID
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesno

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