Altiscale vs Amazon Redshift vs Google BigQuery

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Amazon Redshift

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Google BigQuery

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Pros of Altiscale
Pros of Amazon Redshift
Pros of Google BigQuery
  • 3
    An ops team comes with it, so you're free to analyze
  • 3
    SOC2, PCI, HIPAA, Kerberos
  • 3
    The easiest, lowest cost, highest performing option
  • 3
    Hadoop ops experts run it all for you, don't need ops
  • 3
    Our data sci & analysts would scream if went back toEMR
  • 3
    Automated compute bursting
  • 3
    Super elastic, scalable, secure
  • 2
    Optimized cloud gives faster results, better completion
  • 2
    Simple, easy to use UI - Data Navigator is great
  • 2
    Easier pricing. No node worries. No surprise bills
  • 1
    Real domain experts running hadoop@scale, great service
  • 37
    Data Warehousing
  • 27
  • 16
  • 14
    Backed by Amazon
  • 5
  • 1
    Cheap and reliable
  • 1
  • 1
    Best Cloud DW Performance
  • 1
    Fast columnar storage
  • 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

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Cons of Altiscale
Cons of Amazon Redshift
Cons of Google BigQuery
    Be the first to leave a con
      Be the first to leave a con
      • 1
        You can't unit test changes in BQ data

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      What is Altiscale?

      we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

      What is 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.

      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.

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      Jobs that mention Altiscale, Amazon Redshift, and Google BigQuery as a desired skillset
      What companies use Altiscale?
      What companies use Amazon Redshift?
      What companies use Google BigQuery?

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      What tools integrate with Altiscale?
      What tools integrate with Amazon Redshift?
      What tools integrate with Google BigQuery?
        No integrations found

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        What are some alternatives to Altiscale, Amazon Redshift, and Google BigQuery?
        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.
        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.
        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.
        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.
        See all alternatives