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Google BigQuery vs Azure HDInsight: What are the differences?
What is Google BigQuery? Analyze terabytes of data in seconds. 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 Azure HDInsight? A cloud-based service from Microsoft for big data analytics. It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
Google BigQuery and Azure HDInsight can be primarily classified as "Big Data as a Service" tools.
Some of the features offered by Google BigQuery are:
- All behind the scenes- Your queries can execute asynchronously in the background, and can be polled for status.
- Import data with ease- Bulk load your data using Google Cloud Storage or stream it in bursts of up to 1,000 rows per second.
- Affordable big data- The first Terabyte of data processed each month is free.
On the other hand, Azure HDInsight provides the following key features:
- Fully managed
- Full-spectrum
- Open-source analytics service in the cloud for enterprises
Pros of Azure HDInsight
Pros of Google BigQuery
- High Performance28
- Easy to use25
- Fully managed service22
- Cheap Pricing19
- Process hundreds of GB in seconds16
- Big Data12
- Full table scans in seconds, no indexes needed11
- Always on, no per-hour costs8
- Good combination with fluentd6
- Machine learning4
- Easy to manage1
- Easy to learn0
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Cons of Azure HDInsight
Cons of Google BigQuery
- You can't unit test changes in BQ data1
- Sdas0
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What is Azure HDInsight?
What is Google BigQuery?
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