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DBMS > Databricks vs. Firebase Realtime Database vs. NCache vs. Oracle Rdb

System Properties Comparison Databricks vs. Firebase Realtime Database vs. NCache vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNCache  Xexclude from comparisonOracle Rdb  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.Open-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument store
Relational DBMS
Document storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score0.98
Rank#196  Overall
#29  Key-value stores
Score1.08
Rank#187  Overall
#85  Relational DBMS
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databasewww.alachisoft.com/­ncachewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasewww.alachisoft.com/­resources/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDatabricksGoogle infoacquired by Google 2014AlachisoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2013201220051984
Current release5.3.3, April 20247.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#, .NET, .NET Core, Java
Server operating systemshostedhostedLinux
Windows
HP Open VMS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'no infosupport for stored procedures with SQL-Server CLR
TriggersCallbacks are triggered when data changesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic locking and pessimistic lockingyes, on a single node
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.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatabricksFirebase Realtime DatabaseNCacheOracle Rdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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DatabricksFirebase Realtime DatabaseNCacheOracle Rdb
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