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DBMS > Databricks vs. Dgraph vs. Firebase Realtime Database vs. Newts vs. PouchDB

System Properties Comparison Databricks vs. Dgraph vs. Firebase Realtime Database vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNewts  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.Distributed and scalable native Graph DBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Graph DBMSDocument storeTime Series 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.databricks.comdgraph.iofirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtspouchdb.com
Technical documentationdocs.databricks.comdgraph.io/­docsfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperDatabricksDgraph Labs, Inc.Google infoacquired by Google 2014OpenNMS GroupApache Software Foundation
Initial release20132016201220142012
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaScript
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnononono
Secondary indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript
Objective-C
JavaJavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnolimited functionality with using 'rules'noView functions in JavaScript
TriggersnoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesyes, based on authentication and database rulesnono
More information provided by the system vendor
DatabricksDgraphFirebase Realtime DatabaseNewtsPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphFirebase Realtime DatabaseNewtsPouchDB
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