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DBMS > Databricks vs. DataFS vs. Drizzle vs. Solr vs. TinkerGraph

System Properties Comparison Databricks vs. DataFS vs. Drizzle vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonDrizzle  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMSSearch engineGraph DBMS
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
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.databricks.comnewdatabase.comsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspsolr.apache.org/­resources.html
DeveloperDatabricksMobiland AGDrizzle project, originally started by Brian AkerApache Software Foundation
Initial release20132018200820062009
Current release1.1.263, October 20227.2.4, September 20129.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemshostedWindowsFreeBSD
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
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)yesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.yesnoyesno
Secondary indexesyesnoyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLwith Databricks SQLnoyes infowith proprietary extensionsSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
JDBCJava API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
C
C++
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava pluginsno
Triggersno, except callback-events from server when changes happenedno infohooks for callbacks inside the server can be used.yes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlWindows-ProfilePluggable authentication mechanisms infoe.g. LDAP, HTTPyesno
More information provided by the system vendor
DatabricksDataFSDrizzleSolrTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDataFSDrizzleSolrTinkerGraph
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