Google BigQuery vs Snowflake vs Xplenty

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Google BigQuery

1.2K
1K
+ 1
146
Snowflake

652
774
+ 1
16
Xplenty

11
21
+ 1
2
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Pros of Google BigQuery
Pros of Snowflake
Pros of Xplenty
  • 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
    Simple, easy to integrate/process data without coding

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Cons of Google BigQuery
Cons of Snowflake
Cons of Xplenty
  • 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 Xplenty?

      Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.

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

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      What tools integrate with Google BigQuery?
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      What tools integrate with Xplenty?

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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 Google BigQuery, Snowflake, and Xplenty?
      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