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DBMS > Databricks vs. FatDB

System Properties Comparison Databricks vs. FatDB

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Our visitors often compare Databricks and FatDB with Apache Doris, Ultipa and StarRocks.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.85
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Websitewww.databricks.com
Technical documentationdocs.databricks.com
DeveloperDatabricksFatCloud
Initial release20132012
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemshostedWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLno infoVia inetgration in SQL Server
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesPython
R
Scala
C#
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applications
Triggersyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoCan implement custom security layer via applications
More information provided by the system vendor
DatabricksFatDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFatDB
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Recent citations in the news

Hightouch Partners with Databricks to Launch Self-Service AI-powered Audience Management Solution for Offsite Retail Media Networks, Spanning 50+ Media Channels
10 January 2025, PR Newswire

Agile Data Engine Announces Built on Databricks Partner Status
9 January 2025, Business Wire

Databricks announces $10 billion financing at $62 billion valuation
17 December 2024, CNBC

‘It’s dumb to IPO this year’: Databricks CEO explains why he’s waiting to go public
17 December 2024, TechCrunch

His Startup Is Now Worth $62 Billion. It Gave Away Its First Product Free.
17 December 2024, The Wall Street Journal

provided by Google News



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