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GoodData vs Looker: What are the differences?
Developers describe GoodData as "We help businesses monetize big data". Get a closer look at all your business data at the same time so you can gain actionable insight into sales, marketing, customer engagement and more. On the other hand, Looker is detailed as "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.
GoodData and Looker can be categorized as "Business Intelligence" tools.
Some of the features offered by GoodData are:
- Track all of your important business data in one place at the same time. Graphs and charts analyze changes in revenue, performance, website traffic, customer activity and more, and match these against your business goals.
- Automatically segment your audiences, products, customer feedback and other important categories related to your business.
- Set indicators to monitor the status of your business goals throughout the quarter. Goal indicators alert you when you’re on target, off pace and when something needs more attention to keep you on track, minimizing potential risks and surprises.
On the other hand, Looker provides the following key features:
- Zero-lag access to data
- No limits
- Personalized setup and support
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,
Looking for an environment to help with exploring behavioral data, and creating dashboards for an account-based marketing approach. As we dug into options, I learned of Looker Actions, which enabled us to send the results of queries to the Segment Track and Identify api's. This enabled me to easily send CRM data to marketing tools integrated via the Segment CDP. At the time, no other BI environment provided a similar capability to automatically activate data, rather than just visualize it.
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.