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Looker vs Mixpanel: What are the differences?
Introduction
1. Query Language: Looker uses LookML, a proprietary query language, to define data models and create custom metrics and dimensions. Mixpanel uses a drag-and-drop interface, allowing users to build queries visually without the need for coding or writing queries manually.
2. Data Collection: Looker primarily relies on external data sources and integrations to collect and analyze data. Mixpanel provides its own SDKs that can be integrated into an application or website to track user events and collect data directly from the source.
3. Data Visualization: Looker offers robust data visualization capabilities, allowing users to create interactive dashboards and charts to visualize and explore data. Mixpanel, on the other hand, provides pre-built visualizations and reports that focus more on user behavior and engagement metrics.
4. User Segmentation: Looker allows users to define custom segments based on various attributes and dimensions in the data. Mixpanel specializes in user segmentation and cohort analysis, providing advanced features for analyzing user behavior and trends over time.
5. Real-time Tracking: Mixpanel provides real-time data tracking, allowing users to monitor user events and analyze data instantaneously. Looker, on the other hand, offers near real-time data updates but may have a slight delay in data processing and visualization.
6. Price and Licensing: Looker offers a subscription-based pricing model, with different tiers based on the user's needs and the number of users. Mixpanel also offers a subscription-based pricing model but is primarily based on the amount of data collected and the number of user profiles.
In summary, Looker and Mixpanel differ in their query language, data collection methods, data visualization capabilities, user segmentation features, real-time tracking, and pricing/licensing models.
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 Mixpanel
- Great visualization ui144
- Easy integration108
- Great funnel funcionality78
- Free58
- A wide range of tools22
- Powerful Graph Search15
- Responsive Customer Support11
- Nice reporting2
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Cons of Looker
- Price3
Cons of Mixpanel
- Messaging (notification, email) features are weak2
- Paid plans can get expensive2
- Limited dashboard capabilities1