Amazon QuickSight vs Looker

• Amazon QuickSight is a really easy program to learn how to use.
• Amazon QuickSight allows our team to customize the data using the various data sets, which makes the available reports incredibly powerful to our organization.
• Our organization has the ability continually adjust our reports and build new reports as business needs change.
• Even though our organization has different reports built for different departments, each department can still access and understand reports from across the company.

Read full review

• Incredibly advanced analytics tool that is even more capable if you learn how to use LookML which is Looker's custom programming language.
• Quick access to the raw data that is being visualized allows you to spot check for data integrity.
• My usage with Looker is limited because of our integration but, having seen their updates over time, the integrations with Slack, Salesforce, and other tools appear to greatly improve organizations' workflows.

Read full review

• One of the primary challenges I've had with Amazon QuickSight so far is that some of the reports I want to build use data from different data sets. Instead of being able to put all of the information I want to see into one report.
• Some of our Amazon QuickSight reports only update every 24 hours. It would be great to see that data in real-time.
• I would remove the various time zones from Amazon QuickSight and only use the time zone we are in.

Read full review

• Looker lacks the ability to provide 'and' operators when filtering. Only 'or' is provided
• Looker lacks the ability to auto create a data dictionary for defined dimensions and measures within the software. A person must access the API to create one, which is rather inconvenient
• Looker lacks the ability to display descriptions on the Lookml Dashboard view, which is a list of dashboards where descriptions are not displayed

Read full review