Altiscale vs Google BigQuery: What are the differences?
What is Altiscale? Hadoop as a Service. we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.
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..
Altiscale and Google BigQuery can be categorized as "Big Data as a Service" tools.
Some of the features offered by Altiscale are:
- Hadoop Dialtone
- “Infinite” Hadoop
- A Proactive Hadoop Helpdesk
On the other hand, Google BigQuery provides the following key features:
- 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.
"Our data sci & analysts would scream if went back toEMR" is the primary reason why developers consider Altiscale over the competitors, whereas "High Performance" was stated as the key factor in picking Google BigQuery.
What is Altiscale?
What is Google BigQuery?
Want advice about which of these to choose?Ask the StackShare community!
Why do developers choose Altiscale?
What are the cons of using Altiscale?
What tools integrate with Altiscale?
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.
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