Getting back to my review of Google Analytics freemium, let's elaborate on Google's Big Data lineup. Based on the response I received from Google's press team when I asked for enterprise pricing, if you want a true price, then you'll have to contact Google for a quote. Rumor is all we have at this point as Google hasn't published official pricing for Analytics 360 yet (since it's still in beta). But know it's a pricey option, rumored to start at the same price as its predecessor, Google Analytics Premium, which is about $150,000 per year according to a Quora discussion. However, if you're looking to scale to enormous data volumes, then the enterprise price tag may be worth it.

Most companies will find the freemium version suffices. Data refreshes differ, too: For Google Analytics, the data can be refreshed every 24 hours or longer whereas the Premium version allows for more frequent refreshes at four hours or less. Meanwhile, Google Analytics 360 allows up to 3,000,000 rows of exported data and over 500 million 'hits' per month. Hits are defined as pageviews, events, e-commerce transactions, and social actions on a website or mobile app. Google Analytics allows a maximum of 50,000 rows of exported data and 10 million 'hits' per month. I didn't test it primarily because the main difference between freemium and premium at the time of this writing is the amount of data you can access. The aforementioned Google Analytics 360 is the enterprise version of Google Analytics, but I didn't test that version as part of this review. However, both of these have a slightly different concentration than freemium Google Analytics, which is laser-focused on mobile and web analytics. However, that shortfall can be remedied by stepping up to Google Analytics 360 and Google BigQuery, which is Google's Big Data storage and querying tool.

Next to its support issues, Google Analytics also doesn't ingest as many data sources as do our Editors' Choice winners IBM Watson Analytics (360.00 Per User Per Year for the Plus Edition at Software Advice), Microsoft Power BI, and Tableau Desktop.

But, while there are plenty of tutorials available on websites such as LinkedIn or YouTube, you should keep training in mind during deployment and preview these before relying on them for your employees. Deploying Google Analytics leaves training mostly in your hands, which is justifable considering it's a freemium tool. That lost feeling isn't surprising considering Google doesn't offer nearly the same level of customer support as most of the smaller players I reviewed.

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