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Google BigQuery VS Databricks

Compare Google BigQuery VS Databricks and see what are their differences


A fully managed data warehouse for large-scale data analytics.

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
Google BigQuery Landing Page
Google BigQuery Landing Page
Databricks Landing Page
Databricks Landing Page

Google BigQuery details

Categories
Data Dashboard Database Tools Big Data
Website cloud.google.com  
Pricing URL-
Details $-
Platforms
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Release Date-

Databricks details

Categories
Data Dashboard Database Tools Big Data Analytics
Website databricks.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Google BigQuery videos

No Google BigQuery videos yet. You could help us improve this page by suggesting one.

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Databricks videos

Introduction to Databricks

More videos:

  • - Databricks - Data Movement and Query
  • - Azure Databricks Tutorial | Data transformations at scale

Category Popularity beta

0-100% (relative to Google BigQuery and Databricks)
54
54%
46%
46
52
52%
48%
48
53
53%
47%
47
79
79%
21%
21

What are some alternatives?

When comparing Google BigQuery and Databricks, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Rakam - Custom analytics platform

Loadrunner - Discover how HP performance, stress, and load testing software LoadRunner can prevent costly...

Concurrent - Concurrent is a technology solution providing real-time computing solutions for businesses and individuals.

User comments

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