Google BigQuery Service allows you to run SQL-like queries against very large datasets, with potentially billions of rows. This can be your own data, or data that someone else has shared for you. BigQuery works best for interactive analysis of very large datasets, typically using a small number of very large, append-only tables.
While the big players like IBM, SAP, Cloudera all offer advanced analytics solutions, they come at a cost and with Hadoop based solutions requiring a good amount of skilled man power to understand it in the first place. Google’s BigQuery instead is accessible via a simple UI or REST interface. It lets you take advantage of Google’s massive compute power, store as much data as needed and pay only for what you use. Your data is protected with multiple layers of security, replicated across multiple data centers and can be easily exported.
Businesses can sign up for BigQuery online and compute up to 100 GB of data per month and for “Free”. However for any organizations requiring heavier feeds, storage and queries/analytics power they can subscribe to an introductory pricing plan which includes $0.12 per GB/month with a default limit of 2 TB for storage and $0.035 per GB processed with a default limit of 20 TB of data processed per day. If you need further beyond the default limits google advises to contact their sales team
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