Altiscale vs Google BigQuery vs Snowflake

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Altiscale

6
10
+ 1
28
Google BigQuery

1.2K
1K
+ 1
146
Snowflake

652
774
+ 1
16
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Pros of Altiscale
Pros of Google BigQuery
Pros of Snowflake
  • 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
  • 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
    Serverless
  • 2
    Great Documentation
  • 2
    Multicloud
  • 2
    Public and Private Data Sharing
  • 1
    Usage based billing
  • 1
    Innovative
  • 1
    Economical

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

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

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      What tools integrate with Altiscale?
      What tools integrate with Google BigQuery?
      What tools integrate with Snowflake?
        No integrations found

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        Blog Posts

        Aug 28 2019 at 3:10AM

        Segment

        PythonJavaAmazon S3+16
        5
        2148
        Jul 2 2019 at 9:34PM

        Segment

        Google AnalyticsAmazon S3New Relic+25
        10
        5898
        GitHubPythonNode.js+47
        50
        69461
        What are some alternatives to Altiscale, 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
        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
        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