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C3.js VS Looker

Compare C3.js VS Looker and see what are their differences

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C3.js logo C3.js

D3-based reusable chart library that enables deeper integration of charts into web applications

Looker logo 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.
  • C3.js Landing page
    Landing page //
    2019-01-08
  • Looker Landing page
    Landing page //
    2023-10-11

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 API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

C3.js features and specs

  • Easy to Use
    C3.js provides a simple and convenient way to create charts. Its API is designed to be easy to understand, making it accessible for both novice and experienced developers.
  • Customization
    The library offers a high degree of customization options, allowing developers to tweak the appearance and behavior of charts to meet specific requirements.
  • Integration with D3.js
    C3.js is built on top of D3.js, enabling it to leverage the extensive capabilities of D3.js while providing a more user-friendly API.
  • Responsiveness
    C3.js charts are responsive by default, meaning they automatically adjust to different screen sizes, which is essential for modern web applications.
  • Documentation
    Comprehensive documentation and a variety of examples make it easier for developers to get started and effectively use the library.
  • Open Source
    Being an open-source project, C3.js is freely available, and the community can contribute to its development, ensuring continuous improvements and updates.

Possible disadvantages of C3.js

  • Performance
    For complex visualizations and large datasets, C3.js may not perform as fast as other specialized charting libraries.
  • Limited Advanced Features
    While offering a good range of basic chart types, C3.js lacks some of the advanced features and chart types found in more comprehensive charting libraries.
  • Dependency on D3.js
    As C3.js is built on top of D3.js, it inherits some of D3.js's complexity. Developers sometimes need to understand D3.js to fully utilize C3.js's capabilities.
  • Maintenance and Updates
    The pace of updates and new releases is slower compared to some other libraries, which can be an issue for projects requiring the latest features and bug fixes.
  • Size
    C3.js, along with its dependency D3.js, can add significant size to the project, which may impact the performance of web applications, especially on slower networks.

Looker features and specs

  • 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 of Looker

  • 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.

Analysis of C3.js

Overall verdict

  • Yes, C3.js is a good choice for creating charts and graphs for most web applications. It offers a combination of ease of use and flexibility, which is appealing to both novice and experienced developers.

Why this product is good

  • C3.js is a D3-based chart library that simplifies the process of creating dynamic, reusable charts. It provides a variety of chart types with minimal configuration required, and its API is designed to be intuitive and easy to use. This makes it a good choice for developers who want to leverage the power of D3.js without dealing with its complexity.

Recommended for

    Developers looking for a straightforward way to create dynamic charts with customizable options, businesses needing reliable charting for data visualization, and projects where a quick setup with a steep learning curve is crucial.

Analysis of Looker

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.

C3.js videos

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Looker videos

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Looker Review

More videos:

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

Category Popularity

0-100% (relative to C3.js and Looker)

C3.js

Looker

Charting Libraries
100 100%
Charting Libraries
0% 0
Data Dashboard
2 2%
Data Dashboard
98% 98
Business Intelligence
0 0%
Business Intelligence
100% 100
Data Visualization
4 4%
Data Visualization
96% 96

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare C3.js and Looker

C3.js Reviews

5 top picks for JavaScript chart libraries
C3.js is another easy-to-use JavaScript library for creating charts. It uses the D3 graphics library, so to create a chart with it, we’ll need both D3 and the C3 library itself.
Source: blog.logrocket.com

Looker Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
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 ecosystem and supports various data sources, including Google Analytics and BigQuery. Looker Studio offers robust visualization capabilities and real-time collaborative...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
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 needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
In this blog, we’ll dive into the best 5 Looker alternatives currently dominating the market. Whether you're seeking a Looker alternative with enhanced features, better pricing, or a more tailored fit for your analytics needs, this guide will help you discover BI tool that could be a perfect match for your business.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Exploring alternatives to Looker isn't just about finding a different tool; it's about uncovering solutions that better address your specific business challenges and operational workflows. Here, we highlight five areas where Looker's limitations might lead you to consider other options.
Source: www.sigmacomputing.com
6 Best Looker alternatives
So who are Looker’s competitors? Our top 5 Looker alternatives provide data visualisation and exploration for business intelligence but also offer lower price points, less of a learning curve, and more accessibility for your non-tech team.
Source: trevor.io

Social recommendations and mentions

Looker might be a bit more popular than C3.js. We know about 14 links to it since March 2021 and only 11 links to C3.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

C3.js mentions (11)

  • Tracking Real-time GitHub Dashboard Commits
    The dashboard is a mashup of GitHub, the PubNub Data Stream Network, and D3 chart visualizations powered by C3.js. When a commit is pushed to GitHub, the commit metadata is posted to a small Heroku instance which publishes it to the PubNub network. We’re hosting on dashboard page on GitHub pages. - Source: dev.to / about 1 year ago
  • Graph libraries
    I've been using https://c3js.org/ forever with vue. Works with v3 just fine. However, I'm very interested to see what others are using. Source: almost 3 years ago
  • Teclis – Non-commercial web search
    Yes! I found https://c3js.org/ which is exactly what I want for my personal project. - Source: Hacker News / about 3 years ago
  • [OC] I spent the last 18 months of lockdown pouring my soul into a website that allows you to visualize virtually every U.S. company's international supply chain. E.g. What products, how much, which factories and where does Walmart import from? (Just type a company in the search box)
    C3.js is actually something that I like to use on top of D3, specifically for POC's and things like that. It wraps the D3 code in something a little more semantic, provides an API for updating the chart/data, and makes the UI easier to style after the chart is generated. Purely a preference thing, but might be useful in some cases. Source: over 3 years ago
  • [C3.js][TypeScript] Draw line charts 1
    C3.js | D3-based reusable chart library. - Source: dev.to / over 3 years ago
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Looker mentions (14)

  • 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 folders if you have set the permissions correctly for each folder). Source: about 2 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 that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 2 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 / about 3 years ago
  • I'm a dev ID 10 T please help me
    Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 3 years ago
  • The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
    For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing C3.js and Looker, you can also consider the following products

UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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