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Snowflake VS Google Cloud Dataproc

Compare Snowflake VS Google Cloud Dataproc and see what are their differences

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Snowflake logo Snowflake

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Snowflake Landing page
    Landing page //
    2022-12-29
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Snowflake

Categories
  • Data Warehousing
  • Cloud Data
  • Data Dashboard
  • Big Data
  • Big Data Tools
  • Big Data Infrastructure
  • Data Lake
Website snowflake.com
Pricing URL Official Snowflake Pricing
Edit details

Google Cloud Dataproc

Categories
  • Data Dashboard
  • Big Data
  • Data Warehousing
  • Database Tools
Website cloud.google.com
Pricing URL-
Edit details

Snowflake videos

+ Add

Grand Seiko Spring Drive "Snowflake" SBGA211 Luxury Watch Review

More videos:

  • Review - BEST GRAND SEIKO? Snowflake SBGA211 Review
  • Review - Grand Seiko Snowflake SBGA211 - Review and Impressions

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

0-100% (relative to Snowflake and Google Cloud Dataproc)

Snowflake

Google Cloud Dataproc

Big Data
53 53%
Big Data
47% 47
Data Dashboard
41 41%
Data Dashboard
59% 59
Data Warehousing
70 70%
Data Warehousing
30% 30
Development
0 0%
Development
100% 100

User comments

Share your experience with using Snowflake and Google Cloud Dataproc. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Snowflake and Google Cloud Dataproc

Snowflake Reviews

Top 6 Cloud Data Warehouses in 2023
Snowflake accommodates data analysts of all levels since it does not use Python or R programming language. It is also well known for its secure and compressed storage for semi-structured data. Besides this, it allows you to spin multiple virtual warehouses based on your needs while parallelizing and isolating individual queries boosting their performance. You can interact...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Snowflake is one of the most popular data warehousing solutions on the market and delivers an incredible experience across multiple public clouds. By using Snowflake, companies can pull data from various business intelligence tools to do reporting and analytics without any database administration, thus avoiding high overhead costs. Unlike other data warehousing services,...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Plus, Snowflake doesn’t include data integrations, so teams will have to bolt on an ETL tool to pipe their data into the warehouse. Those third-party pipelines add extra cost and overhead in the form of setup and maintenance that some teams may not want to absorb.
Source: blog.panoply.io
Top Big Data Tools For 2021
This platform can be used for data warehousing, data science, data engineering, sharing, and application development. It enables you to easily secure your data and execute various analytic workloads. Snowflake also ensures a seamless experience when working with multiple public clouds.
Source: blog.bismart.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Snowflake might be a bit more popular than Google Cloud Dataproc. We know about 4 links to it since March 2021 and only 3 links to Google Cloud Dataproc. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Snowflake mentions (4)

  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Snowflake, a data warehousing company founded by ex-Oracle and ex-VectorWise experts, responded with a blog post that critically reviewed Databricks' findings, reported different results for the same benchmark, and claimed comparable price/performance to Databricks. - Source: dev.to / almost 2 years ago
  • Personal Support at Internet Scale
    Snowflake: Snowflake is fast, and works well as a product analytics database. - Source: dev.to / over 2 years ago
  • Less than 1TB of data what tools should I get better at?
    If you just go to snowflake.com you can sign up for a demo account for free for a month and I'm fairly certain you can get more than one of these accounts (I would recycle emails doing it all the time.) Once you have an account there's lots of docs and videos out there either using the Database via their UI or via python using their connector. They also have a pyspark connector but you might want to just learn... Source: over 2 years ago
  • *BOMATO*
    Early stage funding & VCs clearly demarcate between tech companies and tech enabled companies. But, once the PE comes into the picture at the scale of BlackStone, the border between doordash.com and snowflake.com starts to blur. The motivation is to make some bucks by going to IPO and they know how to get it done. Source: over 2 years ago

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: about 2 years ago

What are some alternatives?

When comparing Snowflake and Google Cloud Dataproc, you can also consider the following products

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

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