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  5. Chartbeat vs Looker

Chartbeat vs Looker

OverviewDecisionsComparisonAlternatives

Overview

Chartbeat
Chartbeat
Stacks986
Followers66
Votes0
Looker
Looker
Stacks632
Followers656
Votes9

Chartbeat vs Looker: What are the differences?

<Write Introduction here>
  1. Data Visualization: Chartbeat primarily focuses on real-time data visualization, providing live analytics on website performance and audience engagement metrics. On the other hand, Looker is more centered around offering advanced data exploration and visualization capabilities, enabling users to create custom dashboards and reports with a focus on historical data analysis.

  2. User Interface: Chartbeat offers a user-friendly, easy-to-navigate interface that provides quick insights at a glance, suitable for individuals who need quick real-time data. In contrast, Looker's interface is designed for more technical users, offering a robust set of tools for data modeling and exploration, making it ideal for businesses that require in-depth analysis and customization.

  3. Integration Capabilities: Chartbeat specializes in website analytics and integrates seamlessly with content management systems and other web platforms, making it a valuable tool for publishers and online media companies. Looker, on the other hand, is known for its versatility in integrating with various data sources such as databases, data warehouses, and cloud services, catering to a broader range of industries beyond media.

  4. Collaboration Features: Looker provides collaborative features such as sharing custom reports and dashboards, enabling teams to work together on data analysis and decision-making processes. In comparison, Chartbeat's collaboration tools are more limited, focusing primarily on providing individual users with real-time insights and alerts on website performance.

  5. Customization Options: Looker offers extensive customization options, allowing users to tailor reports, dashboards, and visuals to their specific needs, making it a robust solution for businesses with diverse data requirements. Chartbeat, while providing some degree of customization, is more standardized in its approach, catering to users who prioritize simplicity and quick access to key metrics.

  6. Scalability and Pricing Model: Looker is designed to handle large datasets and complex queries efficiently, making it a scalable solution for growing businesses with evolving data needs, but it comes with a higher price tag. Chartbeat, while offering real-time analytics for websites of all sizes, may be more cost-effective for smaller organizations or individuals looking for immediate performance insights without the need for extensive data processing capabilities.

In Summary, Chartbeat and Looker differ in their focus on real-time data visualization, user interface design, integration capabilities, collaboration features, customization options, scalability, and pricing models.

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Advice on Chartbeat, Looker

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

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.

353k views353k
Comments
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

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.

230k views230k
Comments

Detailed Comparison

Chartbeat
Chartbeat
Looker
Looker

Chartbeat provides realtime analytics to Websites and blogs, and shows visitors, load times, and referring sites on a minute-by-minute basis.

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.

Historical Engagement Series;Historical Engagement Stats;Historical Social Series;Historical Social Stats;Historical Traffic Series;Historical Traffic Stats;Geo;Histogram;Path Summary;Quickstats;Recent Visitors;Referrers;Summary;Top Pages
Zero-lag access to data;No limits;Personalized setup and support;No uploading, warehousing, or indexing;Deploy anywhere;Works in any browser, anywhere;Personalized access points
Statistics
Stacks
986
Stacks
632
Followers
66
Followers
656
Votes
0
Votes
9
Pros & Cons
No community feedback yet
Pros
  • 4
    Real time in app customer chat support
  • 4
    GitHub integration
  • 1
    Reduces the barrier of entry to utilizing data
Cons
  • 3
    Price
Integrations
Segment
Segment
No integrations available

What are some alternatives to Chartbeat, Looker?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

GoSquared

GoSquared

The GoSquared dashboard provides you with an overview of all the most important metrics behind your site’s traffic. From source information to visitor count, and from a dynamic timeline to engagement metrics, the dashboard is simple-to-read and accessed in one.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

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