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Looker VS AnalyticsProof

Compare Looker VS AnalyticsProof 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
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AnalyticsProof

Checks every day that your website and Android app still track visitors correctly: which GA4 or dataLayer event stopped arriving after a release, at which step, and what tools send before cookie consent. Nothing to install.

Rating
0 reviews
Pricing
Freemium Free trial €49 / Monthly (1 website, 3 recorded journeys, daily checks, Slack, API.)
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Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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 3

Base details

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

Looker
AnalyticsProof
Website looker.com analyticsproof.com
Pricing
Official pricing
Freemium Free trial €49 / Monthly (1 website, 3 recorded journeys, daily checks, Slack, API.) Official pricing
Company Startup from the United States Startup from the Czech Republic · 1 - 9 employees · 2026
Listed in
Business Intelligence Data Analytics Data Visualization Data Dashboard +1
Website Monitoring Web Analytics Mobile Analytics Monitoring Tools CI/CD Android Emulators MCP & AI Agent Tooling AI +5

About Looker and AnalyticsProof

In their own words, as submitted to SaaSHub.

Looker
AnalyticsProof

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

Website and Android app tracking usually breaks quietly: a release changes the checkout, the purchase event still fires, but value or currency no longer arrives. Teams find out weeks later from a ROAS drop or a finance mismatch. How it works - Record a key journey once, such as product → cart →...

Read more about AnalyticsProof

Features and specs

What each product offers, as listed by its team.

Looker 6 features
AnalyticsProof 8 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.
  • Cookie-banner check
    Opens the site as a new visitor and lists which tools, such as GA4, Google Ads and Meta, send data before consent and after rejection, including Google Consent Mode states.
  • No-code journey recording
    Record a key journey once, such as product → cart → checkout. The browser runs on our servers and streams into your dashboard, so nothing is installed on the site.
  • MCP server and REST API
    AI assistants such as Claude and ChatGPT connect over MCP to read results, explain findings and set up checks. The REST API is available from Starter.
  • Daily journey replay
    Recorded journeys are replayed every day on paid plans and every 2 weeks on Free, with the same country, language and viewport as the recording.
  • Agency organizations
    Agencies manage client projects in one organization, set alerts per project and invite client teams. €99/month for 3 websites, €29 per extra website.
  • Measured event diff per step
    Each step shows what the page pushed to the dataLayer next to what was sent to GA4 (and other tools), compared with the expected state learned from the first runs.
  • Android and smart-TV app journeys
    The same journey checks run on Android apps and smart-TV (HbbTV) apps alongside the website, on the Professional plan.
  • Pull-request checks
    A journey runs against the preview of a pull request on GitHub, GitLab or Bitbucket and reports changes before the code is merged (Professional).

Analysis

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

Looker
AnalyticsProof

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.

No analysis of AnalyticsProof yet.

Videos

Walkthroughs and reviews on video.

Looker 3 videos + Add
AnalyticsProof 0 videos + Add

Looker Review

More videos

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

No AnalyticsProof 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
AnalyticsProof
100% 100%
Data Dashboard
0% 0%
0% 0%
Website Monitoring
100% 100%
100% 100%
Business Intelligence
0% 0%
0% 0%
Web Analytics
100% 100%

Questions & Answers

As answered by people managing Looker and AnalyticsProof.

What makes your product unique?

AnalyticsProof's answer:

User journey tests are recorded once in a browser that runs on our servers, then replayed every day. Each step shows what the page pushed to the dataLayer next to what was sent to GA4 (and other tools), plus a cookie-banner check of what tools send before consent and after rejection. An MCP server lets AI assistants read results and set up checks.

Why should a person choose your product over its competitors?

AnalyticsProof's answer:

It checks the journeys that make money, such as cart and checkout, step by step, and says exactly which event or parameter stopped arriving after a release. Nothing is installed on the site. The same check runs on Android and smart-TV apps, which most tag-audit tools don't cover. Pricing starts with a free plan instead of an enterprise contract.

How would you describe the primary audience of your product?

AnalyticsProof's answer:

Analytics leads, Head of Digital and e-commerce managers at companies that release often, and analytics/PPC agencies that look after tracking on many client websites.

What's the story behind your product?

AnalyticsProof's answer:

Built by Václav Ráš, a web analytics consultant who kept finding the same problem with clients: a release quietly breaks tracking and nobody notices for weeks. AnalyticsProof automates the check he used to do by hand in DevTools after every release.

User comments

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Reviews and articles

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

Looker no reviews yet
AnalyticsProof no reviews yet

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We have no reviews of AnalyticsProof 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
AnalyticsProof 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 AnalyticsProof since Nov 2026.

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