Amazon EMR vs Google BigQuery vs Snowflake

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Amazon EMR

485
552
+ 1
54
Google BigQuery

1.2K
1K
+ 1
146
Snowflake

652
774
+ 1
16
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Pros of Amazon EMR
Pros of Google BigQuery
Pros of Snowflake
  • 15
    On demand processing power
  • 12
    Don't need to maintain Hadoop Cluster yourself
  • 7
    Hadoop Tools
  • 6
    Elastic
  • 4
    Backed by Amazon
  • 3
    Flexible
  • 3
    Economic - pay as you go, easy to use CLI and SDKs
  • 2
    Don't need a dedicated Ops group
  • 1
    Great support
  • 1
    Massive data handling
  • 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 Amazon EMR
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 Amazon EMR?

      It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

      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 Amazon EMR, Google BigQuery, and Snowflake as a desired skillset
      What companies use Amazon EMR?
      What companies use Google BigQuery?
      What companies use Snowflake?

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      What tools integrate with Amazon EMR?
      What tools integrate with Google BigQuery?
      What tools integrate with Snowflake?

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      Blog Posts

      Aug 28 2019 at 3:10AM

      Segment

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

      Segment

      Google AnalyticsAmazon S3New Relic+25
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      GitHubPythonNode.js+47
      50
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      GitHubSlackMySQL+44
      109
      49990
      What are some alternatives to Amazon EMR, Google BigQuery, and Snowflake?
      Amazon EC2
      It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
      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.
      Amazon DynamoDB
      With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
      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.
      Azure HDInsight
      It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
      See all alternatives