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DBMS > Badger vs. BoltDB vs. Databricks vs. dBASE

System Properties Comparison Badger vs. BoltDB vs. Databricks vs. dBASE

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisondBASE  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embedded key-value store for Go.The 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.dBase 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.
Primary database modelKey-value storeKey-value storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­boltdb/­boltwww.databricks.comwww.dbase.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comwww.dbase.com/­support/­knowledgebase
DeveloperDGraph LabsDatabricksAsthon Tate
Initial release2017201320131979
Current releasedBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Solaris
Windows
hostedDOS infodBase Classic
Windows infodBase Pro
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenonoyes
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonowith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.
Supported programming languagesGoGoPython
R
Scala
dBase proprietary IDE
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMS
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlnonoAccess rights for users and roles
More information provided by the system vendor
BadgerBoltDBDatabricksdBASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerBoltDBDatabricksdBASE
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