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Apache Superset VS We Do Data Science

Compare Apache Superset VS We Do Data Science and see what are their differences

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Apache Superset logo Apache Superset

modern, enterprise-ready business intelligence web application

We Do Data Science logo We Do Data Science

Data Science in your browser
  • Apache Superset Landing page
    Landing page //
    2024-09-18
  • We Do Data Science Landing page
    Landing page //
    2023-10-17

Apache Superset features and specs

  • Open Source
    Apache Superset is fully open source, allowing users to modify and extend it as needed without any licensing fees.
  • Rich Visualization Options
    Superset offers a wide range of pre-built visualization types, including pie charts, line charts, and maps, allowing for versatile data representation.
  • SQL Lab
    The SQL Lab feature makes it easy to explore and query data in a natural SQL interface, which is highly valuable for analysts and data scientists.
  • Lightweight
    Superset is designed to be a lightweight platform, making it relatively easy to set up and manage compared to more cumbersome BI tools.
  • Extensibility
    With its plugin architecture, Superset can be extended to support additional visualizations and data sources, which makes it highly customizable.
  • Community and Ecosystem
    As part of the Apache Software Foundation, Superset benefits from a robust community and a broad ecosystem of tools and integrations.

Possible disadvantages of Apache Superset

  • Steep Learning Curve
    New users may find it difficult to get started with Superset due to its wide array of features and technical jargon.
  • Limited Documentation
    While there is community-driven documentation, it may not be as comprehensive or up-to-date as needed, posing challenges during troubleshooting.
  • Resource Intensive
    Superset can be resource-intensive and may require significant optimization to run efficiently, especially with large datasets or numerous concurrent users.
  • Basic User Management
    User management features are somewhat basic compared to other BI tools, lacking advanced role-based access control and detailed audit logs.
  • Less Polished UI
    The user interface, while functional, may not be as polished or intuitive as some of the commercial alternatives, impacting the user experience.
  • Scaling Issues
    Superset can face scalability challenges when dealing with massive datasets or a high number of concurrent users, though ongoing improvements are being made.

We Do Data Science features and specs

  • Specialized Expertise
    We Do Data Science specializes in data science solutions, offering expert services tailored for various industries and applications.
  • Comprehensive Services
    The company provides a wide range of services including data analysis, machine learning, and predictive modeling, catering to diverse client needs.
  • Experienced Team
    The team comprises experienced data scientists and analysts who are capable of delivering high-quality and robust data solutions.
  • Client-Centric Approach
    We Do Data Science emphasizes a personalized approach, working closely with clients to understand their unique challenges and develop customized solutions.

Possible disadvantages of We Do Data Science

  • Cost
    Specialized data science services can be expensive, potentially making them less accessible for smaller businesses or startups with limited budgets.
  • Scalability
    Depending on the company’s size and resources, there might be limitations in handling very large-scale or complex projects simultaneously.
  • Niche Market
    Focusing solely on data science may limit the breadth of services compared to larger firms that offer integrated solutions across multiple domains.
  • Availability
    High demand for data science expertise could lead to longer wait times for project initiation or delays in service delivery.

Analysis of Apache Superset

Overall verdict

  • Apache Superset is a good choice for teams and organizations looking for a flexible, scalable, and user-friendly data visualization tool. It offers a balance between simplicity for non-technical users and depth for advanced users who want to perform complex data analyses. However, it might require some initial setup and configuration, especially for those not familiar with managing web applications or working with databases.

Why this product is good

  • Apache Superset is a powerful, open-source business intelligence tool that provides a wide range of data visualization and exploration capabilities. It is designed to handle large volumes of data, offers an intuitive user interface, and supports a variety of data sources through SQLAlchemy. Its main strengths lie in its ability to create complex dashboards with minimal effort, and its extensibility through a plugin framework. Superset also benefits from a vibrant open-source community, which contributes to its continuous improvement and feature expansion.

Recommended for

  • Organizations with medium to large datasets that need efficient data exploration and visualization.
  • Data analysts and scientists who require a tool that provides powerful SQL capabilities and extensive chart options.
  • Teams looking for an open-source, cost-effective alternative to proprietary business intelligence solutions.
  • Developers who are interested in customizing or extending the platform to fit specific needs via a robust API and plugin system.

Apache Superset videos

+ Add

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset and Druid

More videos:

  • Review - Apache Superset-Building Dashboard-Filter or Slicer
  • Review - Installing Apache Superset

We Do Data Science videos

No We Do Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Superset and We Do Data Science)

Apache Superset

We Do Data Science

Data Dashboard
73 73%
Data Dashboard
27% 27
Data Visualization
70 70%
Data Visualization
30% 30
Business Intelligence
100 100%
Business Intelligence
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Superset and We Do Data Science

Apache Superset Reviews

8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Open-source vs cloud-hosted vs self-hosted Apache Superset open-sourceApache Superset interactive example dashboard. Image source: https://superset.apache.org/Main features and benefits Pricing and offersBest for Main drawbacks Apache Superset alternatives that are suitable for a small business or startup 1. Trevor.ioMain features and benefits Pricing and offersKey...
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Apache Superset is one of the best Tableau Open Source alternatives that you can opt for Data Exploration and Business Analytics. This Open-Source project is licensed under the Apache License 2.0, which allows anyone to use it and distribute a modified version of it. In comparison to Tableau, which charges a minimum of $15 per month for Tableau Viewer, this software is...
Source: hevodata.com
Top 10 Data Analysis Tools in 2022
Apache Superset It is an open-source software application, meaning it can be modified to suit a company’s needs. It is among the few data analysis tools available to handle big data. Apache Superset is free to use. Apache Superset is a free tool businesses can use to explore and visualize data. However, it does not support NoSQL databases.
Source: www.spiceworks.com

We Do Data Science Reviews

We have no reviews of We Do Data Science yet.
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Social recommendations and mentions

Based on our record, Apache Superset seems to be a lot more popular than We Do Data Science. While we know about 59 links to Apache Superset, we've tracked only 1 mention of We Do Data Science. 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.

Apache Superset mentions (59)

  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others. - Source: dev.to / 2 months ago
  • Apache ECharts
    Superset[1] BI tool is a good example of how useful ECharts are [1] https://superset.apache.org/. - Source: Hacker News / 2 months ago
  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 3 months ago
  • Major Technologies Worth Learning in 2025 for Data Professionals
    Open source tools like Apache Superset, Airbyte, and DuckDB are providing cost-effective and customizable solutions for data professionals. Becoming adept at these tools not only reduces dependency on proprietary software but also fosters community engagement. - Source: dev.to / 6 months ago
  • ClickHouse: The Key to Faster Insights
    ClickHouse is highly compatible with a wide range of data tools, including ETL/ELT processes and BI tools like Apache Superset. It supports virtually all common data formats, making integration seamless across diverse ecosystems. - Source: dev.to / 7 months ago
View more

We Do Data Science mentions (1)

  • [OC] 2020 Average price of carbon emissions
    Tool: wedodatascience.com (a free tool that I made). Source: over 2 years ago

What are some alternatives?

When comparing Apache Superset and We Do Data Science, you can also consider the following products

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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.

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

Fluent BI - Chat with spreadsheets & docs for AI-powered insights, charts & dashboards in seconds. No code required. Perfect for small business reporting.

Manaflow - Automate repetitive office work in tables

LinceBI - ¡La mejor herramienta BI Business Intelligence del mercado! Basada en tecnologías open source: sin coste de licencias ni límite de usuarios.

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