
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Neorepo
supastarter
NextBase
SaaSykit
Supaboost - SaaS Starter Template
BoilerBay
AIBoilerplate.dev
Launch Your Next SaaS Faster with staarter.dev
Which is more popular?
Based on our record, Looker seems to be more popular. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | looker.com | staarter.dev |
| Pricing | ||
| Company | Startup from the United States | Startup from Germany · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible...
A comprehensive Next.js boilerplate that empowers developers to launch their SaaS applications quickly and efficiently. With features like authentication, subscription management, and localization, it provides a solid foundation so you can focus on innovating.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Looker Review
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Staarter.dev Coupon Code : Save 50% On Plan
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Looker and staarter.dev.
staarter.dev's answer:
Our primary audience consists of developers, solopreneurs, and startups looking to accelerate their SaaS development with a robust, flexible, and scalable boilerplate.
staarter.dev's answer:
staarter.dev is designed to be extendable and vendor-agnostic, allowing you to integrate your preferred tools seamlessly, unlike competitors that lock you into specific providers.
staarter.dev's answer:
staarter.dev offers unparalleled flexibility with multiple vendor integrations and extensive customization options, saving you 40-60 hours of development time on every project.
staarter.dev's answer:
staarter.dev was created out of frustration with repeatedly building the same boilerplate code. We aimed to provide a comprehensive, flexible, and time-saving solution for SaaS development.
staarter.dev's answer:
staarter.dev leverages Next.js, tRPC, Tailwind CSS, shadcn/ui, next-intl, Zod, and Prisma to provide a modern, scalable, and high-performance SaaS boilerplate.
Share your experience with using Looker and staarter.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Looker like business intelligence platforms include tools that offer governed data models, embedded analytics, real-time dashboards, and scalable cloud performance. These platforms are ideal for organizations that...
Looker Studio, formerly Google Data Studio, is a user-friendly business intelligence tool that transforms raw data into interactive, customizable dashboards and reports. It integrates seamlessly with Google's...
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these...
We have no reviews of staarter.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the... Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins... - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Tracking staarter.dev since May 2024.
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