Google released its BigQuery service only six week ago, but the company is already adding new features. Is this the beginning of the commoditization of big data?
New Features in BigQuery
Google BigQuery allows users to run queries against massive data sets using a SQL like language. Google has enhanced the service with several new features. BigQuery now has the ability to run queries against up to 20 different data sources and 200GB of data concurrently.
Before the latest release, BigQuery only supported running two queries at a time. Google implemented several enhancements to lower level features like support for setting expiration dates on tables and better paging.
It’s likely that Google will release several additional rounds of enhancements to BigQuery, and that’s a big win for users. It’s no secret that Google knows a thing or two about big data. BigQuery brings that expertise to organizations that may not have budget or internal resources to implement the infrastructure and systems necessary to process big data.
Users can get started by uploading their data to BigQuery, which allows querying up to 100GB of data per month for free. Once the data is within BigQuery, users can immediately begin to query it without jumping through the hurdles that are often required to use big data. Additional details about Google’s enhancements to the service are available in the release announcement.
BigQuery isn’t the only data store available from Google. The company also offers Cloud SQL, a hosted MySQL database. Cloud SQL is designed to support small to medium datasets and is only available within Google platform-as-a-service platform, App Engine. BigQuery and Cloud SQL are just examples of the larger technology externalization trend. Organizations are getting more comfortable relinquishing some control of their IT ecosystem in exchange for simplifying their technology environment.
Is BigQuery for You
BigQuery is fast and it doesn’t require a lot of technical knowledge to use, but it’s not a good solution for every business. Although Google promises privacy, it runs in the public cloud. Company policy, regulatory constraints and security concerns will be barriers to broad enterprise adoption.
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