Google BigQuery vs Snowflake vs Treasure Data

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Google BigQuery

1.2K
1K
+ 1
146
Snowflake

655
774
+ 1
16
Treasure Data

24
39
+ 1
5
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Pros of Google BigQuery
Pros of Snowflake
Pros of Treasure Data
  • 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
  • 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 Snowflake
Cons of Treasure Data
  • 1
    You can't unit test changes in BQ data
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      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.

      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, Snowflake, and Treasure Data as a desired skillset
      What companies use Google BigQuery?
      What companies use Snowflake?
      What companies use Treasure Data?

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      What tools integrate with Google BigQuery?
      What tools integrate with Snowflake?
      What tools integrate with Treasure Data?

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      Blog Posts

      Aug 28 2019 at 3:10AM

      Segment

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

      Segment

      Google AnalyticsAmazon S3New Relic+25
      10
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      GitHubPythonNode.js+47
      50
      69464
      What are some alternatives to Google BigQuery, Snowflake, 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.
      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