Cloudera Enterprise vs Google BigQuery vs Snowflake

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Cloudera Enterprise

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Google BigQuery

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Pros of Cloudera Enterprise
Pros of Google BigQuery
Pros of Snowflake
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    • 27
      High Performance
    • 24
      Easy to use
    • 21
      Fully managed service
    • 19
      Cheap Pricing
    • 16
      Process hundreds of GB in seconds
    • 11
      Full table scans in seconds, no indexes needed
    • 11
      Big Data
    • 8
      Always on, no per-hour costs
    • 5
      Good combination with fluentd
    • 4
      Machine learning
    • 3
      Good Performance
    • 2
      User Friendly
    • 2
    • 2
      Great Documentation
    • 2
    • 2
      Public and Private Data Sharing
    • 1
      Usage based billing
    • 1
    • 1

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    Cons of Cloudera Enterprise
    Cons of Google BigQuery
    Cons of Snowflake
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      • 1
        You can't unit test changes in BQ data
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        What is Cloudera Enterprise?

        Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

        What is Google BigQuery?

        Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

        What is Snowflake?

        Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

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        What companies use Cloudera Enterprise?
        What companies use Google BigQuery?
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        What tools integrate with Cloudera Enterprise?
        What tools integrate with Google BigQuery?
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        Blog Posts

        Aug 28 2019 at 3:10AM


        PythonJavaAmazon S3+16
        Jul 2 2019 at 9:34PM


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        What are some alternatives to Cloudera Enterprise, Google BigQuery, and Snowflake?
        Amazon Redshift
        It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
        Amazon EMR
        It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
        Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
        Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.
        Azure Synapse
        It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
        See all alternatives