Software Alternatives & Startups

Looker VS FIND@

Compare Looker VS FIND@ and see what are their differences

Looker

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.

Rating
0 reviews
FIND@

Short links, QR codes, Bio pages, booking and websites — Find@ is your all-in-one link platform used by creators and businesses worldwide. You own your audience data. Track clicks in real time. Free to start. — FIND@.

Rating
0 reviews
Pricing
Freemium Free trial
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Looker seems to be more popular. It has been mentioned 14 times since March 2021.

social mentions
14 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
240+ vs 19

Base details

Website, pricing, platforms and company facts side by side.

Looker
FIND@
Website looker.com find.at
Pricing
Freemium Free trial Official pricing
Company Startup from the United States 2026
Listed in

About Looker and FIND@

In their own words, as submitted to SaaSHub.

Looker
FIND@

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...

Read more about Looker

Find@ is a digital identity platform combining Short links, QR codes, Bio pages, booking, websites and analytics — built for creators, athletes, and businesses.

Read more about FIND@

Features and specs

What each product offers, as listed by its team.

Looker 6 features
FIND@ 0 features
  • Powerful Data Modeling
    Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
  • Ease of Use
    Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
  • Customization
    Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
  • Embedded Analytics
    Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
  • Real-time Data
    Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
  • Integrations
    Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages

  • Learning Curve
    LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
  • Cost
    Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
  • Performance
    Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
  • Customization Constraints
    While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
  • Limited Offline Capabilities
    Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Looker
FIND@

Overall verdict

  • Looker is generally considered a robust solution for organizations looking to enhance their data-driven decision-making capabilities. Its flexibility, extensibility, and ease of use make it a strong contender in the BI space, though it may require some learning and setup effort to fully utilize its features.

Why this product is good

  • Looker is a data analytics platform that provides powerful tools for data exploration, visualization, and business intelligence. It offers a user-friendly interface and is known for its ability to connect to a wide variety of data sources. Looker's LookML, a modeling language, allows users to define data relationships and calculations, making it easier to create custom reports and dashboards. Additionally, it integrates well with other tools and supports collaboration with data teams.

Recommended for

  • Companies seeking scalable and flexible business intelligence solutions.
  • Organizations that need to integrate multiple data sources.
  • Teams looking for a collaborative platform with custom reporting capabilities.
  • Users who prefer a code-based approach to data modeling and analysis.

Overall verdict

  • FIND@ (find.at) appears to be a niche or lesser-known online tool, and there is limited independent, verifiable information available about its features, reliability, or user reception. Without substantial user reviews, security audits, or documented track record, it's difficult to fully endorse it as a proven or widely trusted service.

Why this product is good

  • May offer a simple, lightweight solution for basic needs like link management or similar functionality
  • Could be cost-effective compared to larger, more established competitors
  • Might work well for very specific or narrow use cases if it matches your exact requirements

Recommended for

  • Users seeking a low-commitment trial for very specific, narrow use cases
  • Individuals comfortable testing newer or smaller platforms with limited public track record
  • Those who have already vetted the specific features and confirmed they meet their needs directly with the provider
  • Not recommended for users requiring extensive support, proven security, or enterprise-level reliability

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
FIND@ 0 videos + Add

Looker Review

More videos

  • - How To Use Looker as a Business User
  • - Looker Review - Off The Shelf Reviews

No FIND@ videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Looker
FIND@
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Looker and FIND@.

What makes your product unique?

FIND@'s answer:

Find@ combines bio pages, branded short links, dynamic QR codes, and analytics into a single digital identity platform. Unlike basic link-in-bio tools, Find@ is built as identity infrastructure — with a developer API, verification system, and canonical routing logic that gives users permanent ownership over their name, traffic, and audience.

Why should a person choose your product over its competitors?

FIND@'s answer:

Find@ is not a landing page builder — it is a routing and identity ownership layer. It offers per-link analytics, geo and device targeting, custom domains, a public API, and a verification system in one platform. Users who need more than a styled list of links choose Find@ because it treats digital identity as infrastructure, not decoration.

How would you describe the primary audience of your product?

FIND@'s answer:

Creators, athletes, agencies, and businesses who want permanent control over their online identity and audience routing — independent of any single social platform. Find@ is used by individuals managing personal brands and by teams managing multiple client presences.

What's the story behind your product?

FIND@'s answer:

Find@ was built as part of XZ Global, a vertically integrated digital ecosystem. The core idea: social platforms own the audience relationship, and creators needed a neutral layer they actually control. Find@ launched as that layer — combining identity, routing, and analytics into one owned infrastructure point.

Which are the primary technologies used for building your product?

FIND@'s answer:

Find@ runs on a custom SaaS stack hosted on XZG Cloud infrastructure.

Who are some of the biggest customers of your product?

FIND@'s answer:

  • Combat sports athletes and fighters managing their personal brand
  • Fitness influencers and content creators
  • Small businesses and local service providers
  • Agencies managing multiple client presences
  • Authors and public figures
  • Gyms and sports clubs​​​​​​​​​​​​​​​​

User comments

Share your experience with using Looker and FIND@. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Looker no reviews yet
FIND@ no reviews yet

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We have no reviews of FIND@ yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Looker 14 mentions
FIND@ 0 mentions
  • edit home page to add folder section
    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
  • Stars, tables, and activities: How do we model the real world?
    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
  • dbt for Data Quality Testing & Alerting at FINN
    We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago

View more

Tracking FIND@ since Apr 2026.

Alternatives to Looker and FIND@

When comparing Looker and FIND@, you can also consider the following products.