https://fivetran.com/blog/databricks-is-an-rdbms

Fivetran

  * Platform
      + Overview
          o Why Fivetran
      + Products
          o Extract / Load
          o Transform
          o Embed
  * Connectors
  * Solutions
      + Departments
          o Customer Support
          o Finance
          o Marketing
          o Product & Engineering
          o Sales
      + Teams
          o Data Analysts
          o Data Engineer
          o Data Science
  * Pricing
  * Resources
      + Blog
      + Case Studies
      + Documentation
      + Events
      + News
      + Partners
          o Find a Partner
          o System Integrators
          o Technology Partners
      + Resource Center
      + Support
          o Support Portal
          o FAQs
      + Webinars
  * Sign in
  * Free trial

 Blog
Databricks is an RDBMS
[                    ]
Fivetran
Platform

  * Overview
      + Why Fivetran
  * Products
      + Extract / Load
      + Transform
      + Embed

Connectors
Solutions

  * Departments
      + Customer Support
      + Finance
      + Marketing
      + Product & Engineering
      + Sales
  * Teams
      + Data Analysts
      + Data Engineer
      + Data Science

Pricing
Resources

  * Blog
  * Case Studies
  * Documentation
  * Events
  * News
  * Partners
      + Find a Partner
      + System Integrators
      + Technology Partners
  * Resource Center
  * Support
      + Support Portal
      + FAQs
  * Webinars

Sign in
Free trial
 Blog
Databricks is an RDBMS
[                    ]

Databricks is an RDBMS

Combining the best of data lakes and data warehouses.

By George Fraser, February 1, 2021
 

Databricks' release of Delta Lake last year was one of the most
important developments in the data and analytics ecosystem.
Databricks is the primary sponsor of Apache Spark, an open-source
distributed computing platform that is an alternative to commercial
analytical database systems like Snowflake. There are a variety of
reasons why you might use Spark instead of a traditional analytical
database:

  * You need to run a query that can't be expressed in SQL.

  * You dislike SQL and you prefer writing queries in Scala or
    Python.

  * You want to do advanced statistics and your data doesn't fit in
    memory.

Historically, Spark has been a pure query engine. This means every
Spark user operated a separate storage layer, typically an HDFS
cluster or an S3 data lake.

Delta Lake is a built-in storage layer for Spark and Databricks that
also provides many of the features of traditional analytical
databases:

  * A schema for each table.

  * Transactional inserts, updates, and deletes.

  * Table and column statistics, which allows an optimizer to plan
    efficient joins.

If these features seem familiar, they should: these are the key
features of a relational database. In particular, the ability to do
efficient joins is what makes a database relational. 

Delta Lake is especially significant because it represents a kind of
convergence between data lakes and data warehouses. Databricks calls
this the "Lakehouse". We see the exact same phenomenon, in the
opposite direction, from Snowflake. Their original innovation was the
separation of compute from storage, which brought the cost advantages
of data lakes into a familiar SQL data warehouse. More recently they
announced Snowpark, which will allow Snowflake customers to write
queries using procedural programming languages.

Over time, we expect both data warehouses and data lakes to co-opt
each others' key advantages. The ideal analytical database system:

  * Supports multi-table transactions.

  * Has table and column-level permissions.

  * Supports structured and semi-structured data.

  * Executes joins efficiently.

  * Can be queried using SQL and procedural programming languages.

  * Natively supports advanced statistics.

You can call this system a cloud data warehouse, or a data lake, or a
lakehouse. Or you can be old-fashioned, and call it a relational
database management system.

Start analyzing your data in minutes, not months

Launch any Fivetran connector instantly.

Start free trial
Get a demo
Platform
Automated Data IntegrationsTransformationsEmbedded Integrations
Integrations
DestinationsConnectorsPartners
Pricing
Row CalculatorBuild vs. Buy
Solutions
Marketing SalesSupportProductFinanceIT / EngineringData Analysts /
Business IntelligenceData ScienceMarketing AgencyEnterprise
Resources
Blog Case StudiesDocumentationEventsNews and PressResource Center
Webinars
Partners
Become a PartnerPartners Directory
Helpful Content
The Essential Guide to Data IntegrationData Integration: Build or
Buy?Data Warehouse BenchmarkHow to Implement Automated Data
IntegrationHow to Choose the Perfect BI Tool
Company
About FivetranCultureCareersLegalContact Us
Follow Us
 
 
 
 
 
 
 
Follow Us
 
 
 
 
 
 
 
[US English (en-US)]
Privacy PolicyTerms of Service(c) 2021 Fivetran, Inc.
Adblock Detection