
Cloud Data Warehousing: Snowflake vs. BigQuery
If you’re looking at data warehousing solutions, you might be wondering which one comes out on top when comparing Snowflake vs. BigQuery. Both are solid
Business intelligence (BI) tools help companies organize and make sense of their data. Looker, acquired by Google in 2019 and now part of the Google Cloud Platform, has become a frontrunner among BI tools. But, if you’re coming from a popular BI platform like Power BI or Tableau, Looker can be a sharp departure from how they approach business data analytics.
Let’s jump right in.
Like other BI tools, Looker is a cloud-based platform that takes business data and visualizes it. However, Looker goes two steps further than other options. As a result, it gives companies a unified, single source of truth for all their business metrics, and enables these metrics to be used to drive business processes and actions.
We believe reports and pretty dashboards are a small subset of the ROI from investments in BI.
A unique feature of Looker is its modeling language called LookerML. This lightweight, flexible markup language gives teams the power to define the sources for their data and how it’s shared as well as how it’s combined with other data to compute business metrics as a single source of truth. As a result, anyone within the organization can create reports and dashboards and build upon this unified source of data and metrics.
Looker is compatible with transactional databases like Oracle and MySQL and the analytical data stores BigQuery, Snowflake, and Redshift. Add-ons for custom data applications and experiences are also available.
While we don’t list every difference and similarity here, understanding how Looker, Power BI, and Tableau approach data analytics is important for picking the right platform for your team.
Here’s a quick comparison:
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Nowadays, companies need flexibility and the ability to customize for technical users and business users to collaborate. Looker provides both. Advantages include:
Before adopting Looker, first look at where your company’s data is stored, how data is used, stakeholder needs, and address any compliance and data governance concerns. Connect with a 66degrees cloud expert to see if Looker is a good fit for your team and business.
If you’re looking at data warehousing solutions, you might be wondering which one comes out on top when comparing Snowflake vs. BigQuery. Both are solid
When migrating applications and workloads to the cloud, the two most common cloud providers companies consider are AWS and Microsoft Azure. Yet, Google’s new public
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