Software Alternatives, Accelerators & Startups

Zing Data VS Apache Superset

Compare Zing Data VS Apache Superset and see what are their differences

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Zing Data logo Zing Data

Free collaborative analytics designed for your phone

Apache Superset logo Apache Superset

modern, enterprise-ready business intelligence web application
  • Zing Data Landing page
    Landing page //
    2023-06-04
  • Apache Superset Landing page
    Landing page //
    2024-09-18

Zing Data features and specs

  • Real-time collaboration
    Zing Data facilitates collaboration by allowing multiple users to work on data queries in real-time, enhancing teamwork and decision-making processes.
  • User-friendly interface
    The platform offers an intuitive and easy-to-navigate interface that caters to users of varying technical expertise, making data analysis more accessible.
  • Mobile compatibility
    Zing Data is optimized for mobile devices, allowing users to perform data analysis on-the-go, which is highly beneficial for remote work situations.
  • Scalability
    The service is designed to handle a wide range of data sizes and complexity, making it suitable for small to large organizations looking to scale their data operations.
  • Integration capabilities
    Zing Data can integrate with multiple data sources and third-party tools, providing flexibility and enhancing data connectivity and utility.

Possible disadvantages of Zing Data

  • Limited advanced analytics features
    The platform may lack some advanced data analytics features required by data scientists and analysts for complex data analysis tasks.
  • Dependence on internet connection
    As a cloud-based service, Zing Data requires a stable internet connection, which might limit accessibility in areas with poor connectivity.
  • Potential learning curve for new users
    Despite its intuitive design, new users might still face a learning curve when initially adapting to the platform's unique functionalities and features.
  • Pricing concerns
    The cost of using Zing Data, depending on the subscription plan and level of usage required, might be a consideration for small businesses or startups with tight budgets.
  • Data security and privacy
    As with all cloud-based platforms, there may be concerns regarding data security and privacy, needing users to ensure compliance with relevant regulations.

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.

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.

Zing Data videos

Zing Data Quick Start - Mobile Business Intelligence

More videos:

  • Review - Fast and free data analysis with Bit.io and Zing Data - query CSVs from iOS and Android mobile apps
  • Review - Custom SQL and Joins with Zing Data make powerful data analysis available from anywhere

Apache Superset videos

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

Category Popularity

0-100% (relative to Zing Data and Apache Superset)
Productivity
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Android
100 100%
0% 0
Data Visualization
0 0%
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 Zing Data and Apache Superset

Zing Data Reviews

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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.

Social recommendations and mentions

Based on our record, Apache Superset should be more popular than Zing Data. It has been mentiond 59 times since March 2021. 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.

Zing Data mentions (10)

  • Recommendations for the best and affordable interactive visualisation tool that can be embedded
    Zing Data is free for small teams (<10), allows for interactive dataviz (and SQL with typeahead if you want it). You can easily export images (PNGs), or the data tables (CSV). Source: almost 3 years ago
  • Trino + Starburst integration docs live for mobile querying
    Docs are live for Trino + Starburst mobile querying from Zing Data! Query and visualize even large datasets in Starburst Galazy and Trino from mobile (iOS + Android), and the web for free. Source: almost 3 years ago
  • Recommended BI / Dashboard apps cheaper than Looker/Tableau/etc.
    Check out Zing which is free for 10 people and then $5 / month per user after that. It offers gooogle docs like collaboration that Metabase and Superset don’t, has a web app and iOS + Android so works well across devices.getzingdata.com. Source: over 3 years ago
  • How would you build a BI platform that delivers "real time" insights to users on their smartphones and computer devices in a company of about 200 people?
    Done: Zing Data - it’s on iOS, Android, Web and you can even create queries on your phone (not just view existing dashes). Source: over 3 years ago
  • What are your thoughts on Metabase?
    Zing has iOS, Android apps and web support. Cool sharing features for comment threads and mentions within a data question. Easy saving of graphs and CSVs (even from their mobile app). Supports common DB types but not as many as Metabase,. Source: over 3 years ago
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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 / about 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 / 6 months ago
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What are some alternatives?

When comparing Zing Data and Apache Superset, you can also consider the following products

Elin.ai - A slack bot to boost your team engagement and collaboration

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

WorkRamp - Web based employee training & development tool

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

NooxVision - Like Google Analytics, but for retail stores

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.