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DBMS > Databricks vs. DataFS vs. Lovefield

System Properties Comparison Databricks vs. DataFS vs. Lovefield

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonLovefield  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.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.databricks.comnewdatabase.comgoogle.github.io/­lovefield
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDatabricksMobiland AGGoogle
Initial release201320182014
Current release1.1.263, October 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemshostedWindowsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeFlexible Schema (defined schema, partial schema, schema free)Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersno, except callback-events from server when changes happenedUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDB
User concepts infoAccess controlWindows-Profileno
More information provided by the system vendor
DatabricksDataFSLovefield
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDataFSLovefield
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