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DBMS > Databricks vs. dBASE vs. TinkerGraph vs. WakandaDB

System Properties Comparison Databricks vs. dBASE vs. TinkerGraph vs. WakandaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  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.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.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.databricks.comwww.dbase.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasewakanda.github.io/­doc
DeveloperDatabricksAsthon TateWakanda SAS
Initial release2013197920092012
Current releasedBASE 2019, 20192.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended 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 languageJavaC++, JavaScript
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.TinkerPop 3RESTful HTTP API
Supported programming languagesPython
R
Scala
dBase proprietary IDEGroovy
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.noyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesnoyes
More information provided by the system vendor
DatabricksdBASETinkerGraphWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASETinkerGraphWakandaDB
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