GDS provides a highly interactive drag & drop interface, where you can freely resize and align charts. They might even know a bit of scripting language (Python, JS), but not technical enough to work on data infrastructure or building full reports from scratch, or building complex analysis that requires some SQL acrobatics. Google Data Studio seems to targets a set of semi-technical users, who work with numbers and know Excel very well. If one is talking about Google BigQuery, they would be most likely mention Google Data Studio as the perfect complementary BI tool.Īs the two products belong to the same ecosystem, setting up their integration is a matter of seconds, which gives GDS superior advantage over its competitor. What are the top 5 BI & Reporting tools for BigQuery? Though a careful trial is always recommended in the end, I hope this post will help you narrow down the scope of choice and thus save time and human resources trying out all the tools. This post will help point out the strengths and weaknesses of some of the most popular BI tools on the market that work well with BigQuery. Data analysts gradually find it harder to make heads or tails of the most suitable one for their companies.
High adoption of Google BigQuery leads to a lot of BI vendors optimizing their products to fit with this server-less, multi-cloud platform. Since BigQuery is a part of the Google Cloud Platform, besides scalability and cost-effectiveness, BigQuery customers are also generously endowed with lots of other benefits related to other Google products. BigQuery is one of the most popular data warehouses on the market.
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