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Looker vs Metabase: What are the differences?
What is Looker? Pioneering the next generation of BI, data discovery & data analytics. We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
What is Metabase? An open-source business intelligence tool. Metabase is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Looker and Metabase belong to "Business Intelligence" category of the tech stack.
"Real time in app customer chat support" is the top reason why over 2 developers like Looker, while over 26 developers mention "Database visualisation" as the leading cause for choosing Metabase.
Metabase is an open source tool with 15.4K GitHub stars and 2.05K GitHub forks. Here's a link to Metabase's open source repository on GitHub.
Geocodio, NoRedInk, and StyleShare Inc. are some of the popular companies that use Metabase, whereas Looker is used by DigitalOcean, 9GAG, and CircleCI. Metabase has a broader approval, being mentioned in 82 company stacks & 16 developers stacks; compared to Looker, which is listed in 68 company stacks and 6 developer stacks.
We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.
Hello Mohan,
To be honest, I don't have experience working with analytics on apps and also I don't have experience with Looker, so I cannot say I will suggest that one. I know that Amplitude is a known product analytics tool for apps. I know that in the #GoPractice course, Oleg (CEO GoPractice) was using Amplitude in all his experience with mobile game apps, so I guess apps could work well too. I have experience using Amplitude for SaaS solutions and it is great to create all kinds of analytics for the product. Then Google Datastudio is the classic solution to create dashboards and reports connect it with any data source. Also, some people, instead of Amplitude are using the new Google Analytics, @GoogleAnalytics #GA4 or Mixpanel. However, my suggestion is to use Amplitude and if there are reports that you cannot answer with Amplitude, use Google Data Studio.
I hope that could help you.
Cheers,
Very easy-to-use UI. Good way to make data available inside the company for analysis.
Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.
Can be embedded into product to provide reporting functions.
Support team are helpful.
The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.
Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.
And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.
Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.
Pros of Looker
- Real time in app customer chat support4
- GitHub integration4
- Reduces the barrier of entry to utilizing data1
Pros of Metabase
- Database visualisation58
- Open Source43
- Easy setup40
- Dashboard out of the box35
- Free21
- Simple14
- Support for many dbs8
- Easy embedding7
- Easy6
- It's good6
- AGPL : wont help with adoption but depends on your goal5
- BI doesn't get easier than that5
- Multiple integrations4
- Google analytics integration4
- Easy set up4
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Cons of Looker
- Price2
Cons of Metabase
- Harder to setup than similar tools5