Amazon EMR vs Google BigQuery vs Xplenty

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Amazon EMR
Amazon EMR

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Google BigQuery
Google BigQuery

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- No public GitHub repository available -
- No public GitHub repository available -
- No public GitHub repository available -

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 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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      What companies use Amazon EMR?
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      What are some alternatives to Amazon EMR, Google BigQuery, and Xplenty?
      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.
      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
      Decisions about Amazon EMR, Google BigQuery, and Xplenty
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      How developers use Amazon EMR, Google BigQuery, and Xplenty
      Avatar of ShareThis
      ShareThis uses Google BigQueryGoogle BigQuery

      BigQuery allows our team to pull reports quickly using a SQL-like queries against our large store of data about social sharing. We use the information throughout the company, to do everything from making internal product decisions based on usage patterns to sharing certain kinds of custom reports with our publishers.

      Avatar of Lyndon Wong
      Lyndon Wong uses Google BigQueryGoogle BigQuery

      Aggregation of user events and traits across a marketing website, SaaS web application, user account provisioning backend and Salesforce CRM. Enables full-funnel analysis of campaign ROI, customer acquisition, engagement and retention at both the user and target account level.

      Avatar of Blue Shell Games
      Blue Shell Games uses Google BigQueryGoogle BigQuery

      Google's insanely fast, feature-rich, zero-maintenance column store. Used for real-time customer data queries.

      Avatar of Andrew La Grange
      Andrew La Grange uses Amazon EMRAmazon EMR

      We use Amazon EMR for all our Hadoop workloads.

      How much does Amazon EMR cost?
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      How much does Xplenty cost?
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