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DBMS > Databricks vs. dBASE vs. IRONdb vs. JSqlDb vs. Microsoft Access

System Properties Comparison Databricks vs. dBASE vs. IRONdb vs. JSqlDb vs. Microsoft Access

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonIRONdb  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.JSqlDB 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.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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript Query Language Database, stores JavaScript objects and primitivesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.databricks.comwww.dbase.comwww.circonus.com/solutions/time-series-database/jsqldb.org (offline)www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasedocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­access
DeveloperDatabricksAsthon TateCirconus LLC.Konrad von BackstromMicrosoft
Initial release20131979201720181992
Current releasedBASE 2019, 2019V0.10.20, January 20180.8, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsnoyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.HTTP APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesPython
R
Scala
dBase proprietary IDE.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.yes, in Luafunctions in JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonoyes
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 infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
DatabricksdBASEIRONdbJSqlDbMicrosoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASEIRONdbJSqlDbMicrosoft Access
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