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DBMS > Databricks vs. Firebase Realtime Database vs. jBASE

System Properties Comparison Databricks vs. Firebase Realtime Database vs. jBASE

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonjBASE  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Relational DBMS
Document storeMultivalue 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
Score14.29
Rank#39  Overall
#6  Document stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDatabricksGoogle infoacquired by Google 2014Rocket Software (formerly Zumasys)
Initial release201320121991
Current release5.7
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedAIX
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesoptional
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.yesnoyes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoEmbedded SQL for jBASE in BASIC
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'yes
TriggersCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights can be defined down to the item level
More information provided by the system vendor
DatabricksFirebase Realtime DatabasejBASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFirebase Realtime DatabasejBASE
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