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DBMS > Databricks vs. Firebase Realtime Database vs. Lovefield vs. Machbase Neo vs. MarkLogic

System Properties Comparison Databricks vs. Firebase Realtime Database vs. Lovefield vs. Machbase Neo vs. MarkLogic

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLovefield  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMarkLogic  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.Embeddable relational database for web apps written in pure JavaScriptTimeSeries DBMS for AIoT and BigDataOperational and transactional Enterprise NoSQL database
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databasegoogle.github.io/­lovefieldmachbase.comwww.marklogic.com
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmachbase.com/­dbmsdocs.marklogic.com
DeveloperDatabricksGoogle infoacquired by Google 2014GoogleMachbaseMarkLogic Corp.
Initial release20132012201420132001
Current release2.1.12, February 2017V8.0, August 202311.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree test version availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language infovia JavaScript builder patternSQL-like query languageyes infoSQL92
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
JavaScriptC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'nonoyes infovia XQuery or JavaScript
TriggersCallbacks are triggered when data changesUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infovolatile and lookup tableyes, with Range Indexes
User concepts infoAccess controlyes, based on authentication and database rulesnosimple password-based access controlRole-based access control at the document and subdocument levels
More information provided by the system vendor
DatabricksFirebase Realtime DatabaseLovefieldMachbase Neo infoFormer name was InfinifluxMarkLogic
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFirebase Realtime DatabaseLovefieldMachbase Neo infoFormer name was InfinifluxMarkLogic
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