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DBMS > Databricks vs. Dragonfly vs. Microsoft Azure SQL Database

System Properties Comparison Databricks vs. Dragonfly vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDragonfly  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitewww.databricks.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.databricks.comwww.dragonflydb.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDatabricksDragonflyDB team and community contributorsMicrosoft
Initial release201320232010
Current release1.0, March 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)scheme-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes
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
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesLuaTransact SQL
Triggerspublish/subscribe channels provide some trigger functionalityyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDragonflyMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDragonflyMicrosoft Azure SQL Database infoformerly SQL Azure
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