Google BigQuery vs Myria vs Treasure Data

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Google BigQuery

1.6K
1.5K
+ 1
152
Myria

0
7
+ 1
0
Treasure Data

28
44
+ 1
5
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Pros of Google BigQuery
Pros of Myria
Pros of Treasure Data
  • 28
    High Performance
  • 25
    Easy to use
  • 22
    Fully managed service
  • 19
    Cheap Pricing
  • 16
    Process hundreds of GB in seconds
  • 12
    Big Data
  • 11
    Full table scans in seconds, no indexes needed
  • 8
    Always on, no per-hour costs
  • 6
    Good combination with fluentd
  • 4
    Machine learning
  • 1
    Easy to manage
  • 0
    Easy to learn
    Be the first to leave a pro
    • 2
      Scaleability, less overhead
    • 2
      Makes it easy to ingest all data from different inputs
    • 1
      Responsive to our business requirements, great support

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

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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 Treasure Data?

        Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

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        Jobs that mention Google BigQuery, Myria, and Treasure Data as a desired skillset
        What companies use Google BigQuery?
        What companies use Myria?
        What companies use Treasure Data?
          No companies found

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          What tools integrate with Google BigQuery?
          What tools integrate with Myria?
          What tools integrate with Treasure Data?
            No integrations found

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            Blog Posts

            Aug 28 2019 at 3:10AM

            Segment

            PythonJavaAmazon S3+16
            7
            2559
            Jul 2 2019 at 9:34PM

            Segment

            Google AnalyticsAmazon S3New Relic+25
            10
            6764
            GitHubPythonNode.js+47
            55
            72354
            What are some alternatives to Google BigQuery, Myria, and Treasure Data?
            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.
            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.
            Google Analytics
            Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
            See all alternatives