Google BigQuery vs Myria vs Snowflake

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Google BigQuery

1.2K
1K
+ 1
146
Myria

0
5
+ 1
0
Snowflake

655
774
+ 1
16
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Pros of Google BigQuery
Pros of Myria
Pros of Snowflake
  • 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
    Be the first to leave a pro
    • 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 Google BigQuery
    Cons of Myria
    Cons of Snowflake
    • 1
      You can't unit test changes in BQ data
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        No Stats
        - No public GitHub repository available -
        - No public GitHub repository available -

        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 Myria?

        Myria is a distributed, shared-nothing Big Data management system and Cloud service from the University of Washington. We derive requirements from real users and complex workflows, especially in science.

        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 Google BigQuery, Myria, and Snowflake as a desired skillset
        What companies use Google BigQuery?
        What companies use Myria?
        What companies use Snowflake?
          No companies found

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          What tools integrate with Google BigQuery?
          What tools integrate with Myria?
          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
            2146
            Jul 2 2019 at 9:34PM

            Segment

            Google AnalyticsAmazon S3New Relic+25
            10
            5898
            GitHubPythonNode.js+47
            50
            69461
            What are some alternatives to Google BigQuery, Myria, and Snowflake?
            Google Cloud Bigtable
            Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
            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.
            Hadoop
            The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
            Google Analytics
            Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
            Elasticsearch
            Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
            See all alternatives