Looker vs. Mode

For less evolved reporting, it is not bad at all. It is not designed to scale, fully. I mean that as long as you do not intend to scale, it is a good product for your company. Log aggregation level reporting is not suited for Looker. Customer facing data reporting is. As long as the reporting is not too multi-dimensional, Looker is good.

Incentivized

Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.

Incentivized

• It's on-demand and in the cloud, we don't have to mess with AMIs or scaling issues
• Looker's data domain creating tool is better than anything we've seen
• LookML, Looker's specialized language is incredibly extensible and allows us to connect and visualize almost any data type

Incentivized

• It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
• It allows for easy sharing and work collaboration on data analysis tasks
• Mode has an easier to use SQL editor as well
• I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on

Incentivized

• Mobile viewing is HTML based, not always highly viewable.
• Basic operations can be difficult to achieve. There is a function called table calculations which allows this.
• Running on a single server, the entire instance can slow down if even one user schedules a large dashboard.

Incentivized

• Date ranges aren't always the most intuitive to set, strangely
• Faster refresh rates would be ideal
• Would love more dynamic mobile device integration (alerts, etc)

Incentivized

We've been very happy with Looker so far, and all teams in the organization are starting to see its value, and use it on a frequent basis. It has quickly become our accessible "source of truth" for all data/metrics.

Incentivized

Nontechnical users can create reports easily. Can create customized reports individually or on the whole for the group. Slicing and dicing data through Looker fairly simple. Drill-downs are much better than anticipated. Especially heat map drill-downs, became most popular within the company, considering the company is a location analytics ad tech company.

Incentivized

For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

Incentivized

Looker support specialists are heroes. They are knowledgeable, smart, and always vouch for your success. The availability is super quick, and even if there is no current solution for my problem, they will address it and voice it as feedback for a product.

Incentivized

Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

Incentivized

Looker stacks up very well against the other tools we have evaluated and used. All the tools have their own pros and cons. Looker had a better edge in terms of visualizations when we chose to use it. After several updates, other tools began to have newer features. Looker still stands competitive.

Incentivized

We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.

Incentivized

• The platform allows you to create visual representations of your data and store them in charts, graphs and maps.
• Gives the business owner the flexibility to visualize their data in a real time manner, thereby enabling the business owner to be on top of their data and understand its dynamics.

Incentivized

• Extremely positive. It's a key feature in our application.
• Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.

Incentivized