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DBMS > Databricks vs. DataFS vs. Solr vs. Typesense

System Properties Comparison Databricks vs. DataFS vs. Solr vs. Typesense

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonSolr  Xexclude from comparisonTypesense  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.A widely used distributed, scalable search engine based on Apache LuceneA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Relational DBMS
Object oriented DBMSSearch engineSearch engine
Secondary database modelsGraph DBMSSpatial 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
Score41.02
Rank#24  Overall
#3  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.databricks.comnewdatabase.comsolr.apache.orgtypesense.org
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspsolr.apache.org/­resources.htmltypesense.org/­docs
DeveloperDatabricksMobiland AGApache Software Foundation
Initial release2013201820062015
Current release1.1.263, October 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedWindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
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 infoDynamic Fields enables on-the-fly addition of new fieldsschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes
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 indexesyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLwith Databricks SQLnoSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava pluginsno
Triggersno, except callback-events from server when changes happenedyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
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.nonoyesyes
User concepts infoAccess controlWindows-Profileyes
More information provided by the system vendor
DatabricksDataFSSolrTypesense
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDataFSSolrTypesense
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