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DBMS > Databricks vs. Datomic vs. dBASE vs. PouchDB

System Properties Comparison Databricks vs. Datomic vs. dBASE vs. PouchDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisondBASE  Xexclude from comparisonPouchDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydBase 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.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.databricks.comwww.datomic.comwww.dbase.compouchdb.com
Technical documentationdocs.databricks.comdocs.datomic.comwww.dbase.com/­support/­knowledgebasepouchdb.com/­guides
DeveloperDatabricksCognitectAsthon TateApache Software Foundation
Initial release2013201219792012
Current release1.0.7075, December 2023dBASE 2019, 20197.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScript
Server operating systemshostedAll OS with a Java VMDOS infodBase Classic
Windows infodBase Pro
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesyesyes infovia views
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
Clojure
Java
dBase proprietary IDEJavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsno infoThe IDE can access stored procedures in other database systems.View functions in JavaScript
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoAccess rights for users and rolesno
More information provided by the system vendor
DatabricksDatomicdBASEPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicdBASEPouchDB
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