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The 7 best Retool alternatives for data teams in 2024

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Retool has become a popular platform for building internal tools and dashboards. However, it requires significant coding and can be limited for data teams that need more flexibility and collaborative features. Here are the seven best Retool alternatives for 2024, starting with Deepnote, which offers powerful app capabilities that can serve as dashboards and much more.

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Deepnote

Deepnote changes how data science teams collaborate, with a robust, simple platform designed to meet the needs of modern data projects. Let us show you what makes Deepnote an essential tool for data professionals all over the world.

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Deepnote’s features

  • Real-time collaboration: Deepnote enables simultaneous editing of notebooks by multiple users. This real-time collaboration feature ensures that team members can work together seamlessly, enhancing productivity and fostering a collaborative environment.
  • Deepnote AI: The platform integrates powerful AI capabilities such as intelligent code suggestions, automated data cleaning, natural language querying, and smart visualizations. These AI-driven tools significantly accelerate the data analysis, allowing users to focus on deriving insights rather than mundane tasks.
  • Custom environments: Users can customize their computational environment by specifying the necessary libraries and dependencies. This flexibility ensures each project can operate within a tailored setup, optimizing performance and compatibility.
  • Integrations with other data platforms: Deepnote offers seamless integration with many data sources, including databases and data warehouses. This integration capability allows users to connect to and query their data without leaving the Deepnote interface, simplifying the data workflow.
  • Cloud computing: By leveraging cloud computing, Deepnote provides scalable computational resources that can handle large datasets and complex algorithms anywhere you are. This ensures that projects are not constrained by local hardware limitations and can scale as needed.
  • Data apps: Deepnote allows users to build and deploy interactive data applications directly from their notebooks. This feature facilitates the sharing of insights and results, making it easier for teams to collaborate and stakeholders to understand the data.
  • Interactive visualizations: The platform includes robust tools for creating interactive visualizations, enabling users to explore and analyze their data visually. These visualizations help uncover patterns and insights that might be missed in raw data.
  • No-Code/Low-Code features: Deepnote’s no-code/low-code features enable users to perform complex data tasks with minimal programming. This makes advanced data analysis accessible to a broader range of users, including those without extensive coding experience.

Why choose Deepnote?

Deepnote stands out with real-time collaboration, rich AI features, customizable environments, seamless integrations, and cloud computing capabilities. Whether you want to train the next generation of Artificial intelligence, analyze new trends in the world of data, explore yet-unknown science, or make a cool app to track your coffee routine, Deepnote got you covered with the tools necessary to enhance productivity, streamline workflows, and achieve success in your data-driven projects.

Superset

Apache Superset is an open-source data exploration and visualization platform designed to be enterprise-ready. It’s a powerful tool for creating dashboards and exploring data.

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Key features

  • Rich visualization options: A wide array of chart types and visualization options.
  • SQL lab: An interactive SQL IDE for running queries and exploring data.
  • Extensibility: Easily extend with custom plugins and integrations.

Why choose Superset?

Superset is ideal for data teams looking for a robust, open-source solution with extensive visualization and data exploration capabilities.

Metabase

Metabase is an open-source business intelligence tool that allows users to ask questions about their data and display the answers in dashboards.

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Key features

  • Ease of use: User-friendly interface that requires no coding for basic queries.
  • Interactive dashboards: Create dynamic and interactive dashboards with ease.
  • Query builder: A visual query builder for non-technical users.

Why choose Metabase?

Metabase is perfect for teams seeking a straightforward, no-code solution for building interactive dashboards and answering business questions.

Microsoft Power BI

Microsoft Power BI is a powerful business analytics tool that allows users to visualize data and share insights across their organization.

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Key features

  • Comprehensive data connectivity: Connect to a wide range of data sources.
  • Advanced analytics: Utilize built-in AI capabilities for deeper insights.
  • Interactive reports: Create rich, interactive reports and dashboards.

Why choose Microsoft Power BI?

Power BI is a great choice for organizations already using Microsoft products, offering seamless integration and powerful analytics features.

Tableau

Tableau is a leading data visualization tool that helps users see and understand their data through interactive, shareable dashboards.

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Key features

  • Drag-and-drop interface: Create complex visualizations with a user-friendly drag-and-drop interface.
  • Interactive dashboards: Build interactive dashboards that can be shared and embedded.
  • Extensive data integration: Connect to numerous data sources and blend data easily.

Why choose Tableau?

Tableau is ideal for teams needing powerful data visualization and easy-to-use tools for creating interactive dashboards.

Looker

Looker is a modern data platform that allows organizations to explore, analyze, and share real-time business analytics easily.

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Key features

  • Data modeling layer: Use LookML to define data models that ensure consistent metrics.
  • Interactive data exploration: Explore data and create visualizations with an intuitive interface.
  • Custom applications: Build custom data applications tailored to your business needs.

Why choose Looker?

Looker is excellent for teams looking for a platform that combines robust data modeling with flexible data exploration and visualization capabilities.

Google Data Studio

Google Data Studio is a free, web-based tool for creating customizable, interactive reports and dashboards.

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Key features

  • Integration with Google services: Seamless integration with Google Analytics, Google Sheets, and other Google services.
  • Customizable templates: Use and customize pre-built templates to get started quickly.
  • Interactive reports: Build interactive reports that can be easily shared and embedded.

Why choose Google Data Studio?

Google Data Studio is perfect for teams that need a free, easy-to-use tool for creating and sharing interactive dashboards, especially if they are already using other Google products.

Conclusion

While Retool is a powerful platform for building internal tools and dashboards, these seven alternatives offer a range of features tailored for data teams. Deepnote leads the pack with its real-time collaboration, AI-driven tools, and capabilities for building interactive apps and dashboards. Whether you need the open-source flexibility of Superset, the user-friendly interface of Metabase, or the advanced analytics of Microsoft Power BI and Tableau, there’s an alternative here to meet your team’s needs in 2024.

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