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Tableau VS Observable

Compare Tableau VS Observable and see what are their differences

Tableau logo 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.

Observable logo Observable

Interactive code examples/posts
  • Tableau Landing page
    Landing page //
    2023-10-18
  • Observable Landing page
    Landing page //
    2023-10-09

Tableau features and specs

  • User-Friendly Interface
    Tableau offers an intuitive drag-and-drop interface that allows users to create visualizations and dashboards easily, even without extensive technical knowledge.
  • Data Connectivity
    Tableau supports a wide range of data sources including databases, spreadsheets, cloud services, and more, allowing for flexible data integration.
  • Advanced Analytics
    Advanced analytical capabilities, including real-time analytics, trend analysis, and predictive analytics, help users gain deeper insights from their data.
  • Community and Support
    A large, active user community provides a wealth of resources including forums, tutorials, and user groups for support and knowledge sharing.
  • Visualization Quality
    Tableau offers high-quality visualizations with customizable options that make it easier to create compelling reports and dashboards.

Possible disadvantages of Tableau

  • Cost
    Tableau can be expensive, especially for small businesses or individual users, with its various licensing and subscription fees.
  • Performance Issues
    For very large datasets or complex calculations, Tableau can experience performance slowdowns, affecting the efficiency and user experience.
  • Steep Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced functionalities can require a significant learning curve and technical expertise.
  • Customization Limitations
    Although Tableau is highly customizable, some users find it lacks flexibility when it comes to very specific or unique customization requirements.
  • Export Limitations
    Exporting visualizations and dashboards to formats like PDF or PowerPoint can sometimes be restrictive, limiting the ways reports are shared.

Observable features and specs

  • Collaborative Environment
    Observable allows multiple users to collaborate in real-time, making it easier for teams to work together on data visualizations and analyses.
  • Reactive Programming
    The platform supports reactive programming, where changes in data automatically trigger updates in the visualizations, enhancing interactivity and reducing the need for manual updates.
  • Built-in Data Visualization Libraries
    Observable integrates seamlessly with popular libraries like D3, Plotly, and Leaflet, providing powerful tools for creating complex and interactive data visualizations.
  • Notebook Interface
    The notebook interface is user-friendly and allows for easy documentation and sharing. Users can combine code, visualizations, and markdown text in a single document.
  • Extensive Resources and Community Support
    Observable has a rich set of tutorials, examples, and a strong community, making it easier for new users to learn and get help.
  • Customizability
    Users have the flexibility to customize their visualizations extensively, thanks to the open-ended nature of JavaScript and the supported libraries.

Possible disadvantages of Observable

  • Steeper Learning Curve for Beginners
    New users, especially those without a background in JavaScript, might find the platform challenging to learn compared to more specialized data visualization tools.
  • Performance Issues
    For very large datasets or highly complex visualizations, performance can become an issue, potentially leading to slow rendering times.
  • Dependency on Internet Connection
    Observable notebooks currently require an internet connection to run, which can be a limitation for users needing offline access.
  • Limited Integration with Other Tools
    While Observable is powerful, its integration with other enterprise tools and platforms is somewhat limited compared to more established data analysis tools.
  • Subscription Costs
    Access to some of Observable's more advanced features requires a paid subscription, which might be a barrier for individual users or small teams with limited budgets.

Tableau videos

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

Observable videos

Observable Overview

More videos:

  • Review - observablehq.com review observable hq data analysis
  • Review - Hands-on Data Visualization with Observable Plot

Category Popularity

0-100% (relative to Tableau and Observable)
Data Dashboard
84 84%
16% 16
Data Visualization
74 74%
26% 26
Business Intelligence
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tableau and Observable

Tableau Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Welcome to our complete reference, Tableau Alternatives for Data Visualization and Analysis. In this fast-changing digital age, data visualization and analysis have become critical for making informed decisions and strategies. Tableau is a well-known product that has had a considerable impact in this sector. Its user-friendly interface and powerful capabilities have made it...
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
Tableau: Tableau is the earliest BI tools built to solve data problems, which means it has a lot of community support for all your queries and can lack what the new-age tools have and are building.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Tableau: Renowned for its powerful visualization capabilities, Tableau enables users to create highly intuitive and interactive dashboards. Favored for its user-friendly interface, Tableau effectively handles large datasets, making it a top choice for data visualization.
6 Best Looker alternatives
Pricing: Looker is typically more expensive than Tableau – but if you’re a growing company with increasing user numbers, Tableau can also get pricey.
Source: trevor.io

Observable Reviews

Top 10 Grafana Alternatives in 2024
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
Source: middleware.io
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com

Social recommendations and mentions

Based on our record, Observable seems to be a lot more popular than Tableau. While we know about 312 links to Observable, we've tracked only 8 mentions of Tableau. 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.

Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: almost 2 years ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 2 years ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 3 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: about 3 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: about 3 years ago
View more

Observable mentions (312)

  • Apache ECharts
    "Observable is obnoxious if you want to add a D3 pie chart to your Vue application and have to untangle calls to D3’s API from reactive cell values, which look like ordinary JavaScript, but are not, and will cause compilation and runtime errors when copied." Yep - as I wrote: "If you want to just blindly copy and paste d3 code, you may have issues with the docs being hosted on observable." If instead you learn the... - Source: Hacker News / 26 days ago
  • Natural occurring molecule rivals Ozempic in weight loss, sidesteps side effects
    I'd imagine many nested named capturing groups may trip even the best automated system! I do like the solution though. I would've probably approached it differently, trying to first get the 'inverted' match (i.e. Not matching anything that isn't a currency like pattern) and refine from there. A bit like this one I did a while back, to parse garbled strings that may occur after OCR [0]. I imagine the approach does... - Source: Hacker News / about 2 months ago
  • Visualizing Data Is an Art – We Should Treat It Like One
    Was looking for some mention of Mike Bostock and his epic odyssey into this space. For those who aren't familiar https://observablehq.com/@mbostock. - Source: Hacker News / 3 months ago
  • Ohm: A user-friendly parsing toolkit for JavaScript and TypeScript
    I experimented with an Ohm/CodeMirror bridge that would map an Ohm grammar to CodeMirror classes for marks and syntax highlighting. It might be an interesting starting point for you: https://observablehq.com/@ajbouh/editor. - Source: Hacker News / 3 months ago
  • WebGL Fluid Simulation
    I have a fork of this that inverts the light model from additive to subtractive and suddenly its like ink in water https://observablehq.com/@tomlarkworthy/ink. - Source: Hacker News / 4 months ago
View more

What are some alternatives?

When comparing Tableau and Observable, you can also consider the following products

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

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

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.

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.

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

Vega-Lite - High-level grammar of interactive graphics