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Google Cloud Dataproc VS Azure Data Lake Store

Compare Google Cloud Dataproc VS Azure Data Lake Store and see what are their differences

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Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Azure Data Lake Store logo Azure Data Lake Store

Azure Data Lake Storage Gen2 is highly scalable and secure storage for big data analytics. Maximize costs and efficiency through full integrations with other Azure products.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Azure Data Lake Store Landing page
    Landing page //
    2023-03-17

Google Cloud Dataproc videos

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Azure Data Lake Store videos

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Category Popularity

0-100% (relative to Google Cloud Dataproc and Azure Data Lake Store)

Google Cloud Dataproc

Azure Data Lake Store

Data Dashboard
82 82%
Data Dashboard
18% 18
Data Warehousing
58 58%
Data Warehousing
42% 42
Big Data
75 75%
Big Data
25% 25
Development
100 100%
Development
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than Azure Data Lake Store. It has been mentiond 3 times since March 2021. 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.

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: over 2 years ago

Azure Data Lake Store mentions (1)

  • Top 30 Microsoft Azure Services
    If you're deploying applications to the cloud, you'll need persistent data storage. Azure Blob Storage allows scalable storage for objects and files and provides an SDK to easily access them. Blob storage is a great trigger for Azure Functions, where uploading a file can automatically run your custom logic in the cloud (for example, if you wanted to run OCR on a file as soon as it's uploaded to a storage... - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Google Cloud Dataproc and Azure Data Lake Store, you can also consider the following products

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

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

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

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

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

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.

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