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Appsmith VS Dataiku

Compare Appsmith VS Dataiku and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Appsmith logo Appsmith

Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Appsmith Landing page
    Landing page //
    2022-07-17

Turn any datasource into an internal app in minutes. Appsmith lets you drag-and-drop UI components to build pages, connect to any API, database or GraphQL source and write logic with JavaScript objects.

  • Dataiku Landing page
    Landing page //
    2023-08-17

Appsmith features and specs

  • Open Source
    Appsmith is an open-source platform, which means it's free to use. Developers can also contribute to its development and customize the platform according to their needs.
  • Easy Integration
    Appsmith allows easy integration with a variety of data sources including REST APIs, databases, and third-party services, making it highly versatile for different applications.
  • Drag-and-Drop Interface
    The platform offers a user-friendly drag-and-drop interface for building dashboards and admin panels, which reduces the time required for development.
  • Pre-built Widgets
    Appsmith comes with a collection of pre-built widgets like tables, charts, and forms, which can be directly used in applications for rapid development.
  • Community Support
    Being an open-source project, Appsmith has a strong community that can provide support, share solutions, and contribute to the platform's growth.

Possible disadvantages of Appsmith

  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve involved, especially for developers who are new to the low-code/no-code paradigm.
  • Performance
    Performance can be an issue with more complex applications or very high data loads, and it may require optimization to ensure smooth functioning.
  • Customization Limitations
    While it offers various customization options, it may not be as flexible or powerful as fully custom-built applications for highly specific requirements.
  • Limited Advanced Features
    The platform may lack some advanced features found in more mature enterprise-level tools, potentially limiting its use for very complex or specific business needs.
  • Hosting and Maintenance
    As an open-source tool, hosting and maintenance are the user's responsibility, which can be a disadvantage for those who prefer a fully managed solution.

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Analysis of Appsmith

Overall verdict

  • Appsmith is generally considered a good solution for developers looking to create dynamic internal tools with minimal effort and cost. It provides a balance between ease of use and advanced functionality, making it a popular choice among startups, fast-growing companies, and teams with tight resources.

Why this product is good

  • Appsmith is an open-source internal tool builder that empowers developers to quickly create custom applications without the extensive overhead of traditional development. It is appreciated for its flexibility, allowing seamless integration with various data sources and APIs. The drag-and-drop interface and the ability to write custom JavaScript make it both user-friendly and powerful. The platform supports rapid prototyping and iteration, enabling teams to build robust applications efficiently. Additionally, the active community and comprehensive documentation contribute to a supportive development environment.

Recommended for

  • Startups and small businesses needing to develop internal tools quickly and cost-effectively.
  • Teams looking for a user-friendly yet powerful platform for building applications using existing data sources.
  • Developers who prefer open-source solutions with a supportive community and extensive customization options.
  • Organizations looking for an alternative to traditional software development for building internal dashboards and admin panels.

Appsmith videos

No Appsmith videos yet. You could help us improve this page by suggesting one.

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Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to Appsmith and Dataiku)

Appsmith

Dataiku

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
No Code
100 100%
No Code
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Appsmith and Dataiku

Appsmith Reviews

Top 9 Low-Code Tools for 2023 for low-code development
Appsmith is a low-code platform that empowers users to build business applications and workflows without writing extensive code. It offers a visual interface for designing UIs, integrating data sources, and creating custom logic. With Appsmith, users can connect to databases, APIs, and third-party services, and build dynamic and interactive applications. Its collaborative...
Source: blog.illacloud.com
Appsmith vs ILLA Cloud: Comparing Two Low-Code Platforms
Deployment Options: Appsmith offers two deployment options: Appsmith Cloud and self-hosting. Appsmith Cloud is a free hosted service that lets developers start building their apps on any device without any installation or configuration. Self-hosting is a free option that lets developers host Appsmith on their own servers or cloud providers for more control and security.
Source: blog.illacloud.com
Appsmith vs. Tooljet: Which Low-Code Platform is Better for You?
In this blog post, we will compare two popular LCDPs for building internal tools: Appsmith and Tooljet. We will also introduce ILLA Cloud, a new and innovative LCDP that offers a viable alternative to Appsmith and Tooljet.
Source: blog.illacloud.com

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Appsmith seems to be more popular. It has been mentiond 6 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.

Appsmith mentions (6)

  • Airplane acquired by Airtable and is shutting down
    Founder of Appsmith (https://appsmith.com) here. This is very unfortunate news. I have a lot of respect for the founders & the product. In fact I even used Airplane for a few side projects in the past. It's sad to see the product die. IMO, most folks alluding to them running out money is incorrect. I think they simply ran out of energy or the will to go on. This is very common among early stage companies. But, as... - Source: Hacker News / over 2 years ago
  • Web no-code/low-code tool recommendation? Backend+frontend+analytics and simple to learn
    As well as Appsmith & Retool. They all have generous free tiers, in my opinion. Each can be self-hosted too. Source: over 3 years ago
  • No code platform that can be self-hosted on AWS
    Hello, you can check out Appsmith. It's an open-source platform with all the features you mentioned and it's great for building business apps! Source: over 3 years ago
  • Affordable low code platform for internal tools?
    Appsmith is self hosted right now. Itโ€™s as customizable as Retool, easy as Internal, and less glitchy than Budibase. Tooljet also offers a self hosted version, but Appsmiths dev team updates improvements so much faster. Source: almost 4 years ago
  • February Round-up: New Helm Charts, Product Updates, and Collabs
    If youโ€™ve followed Appsmith for a while, you know that we can do a lot in 30 days! In the second month of 2022, we cleared a few bugs and created an all-new event called How Do I Do X, where many frequently asked questions live. Source: over 4 years ago
View more

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

When comparing Appsmith and Dataiku, you can also consider the following products

Retool - Build custom internal tools in minutes.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Budibase - What Wordpress is to websites, Budibase is to web apps. Budibase is a free and open source web app builder for creating, launching and growing web applications. Budibase eliminates repetition and dramatically reduces development time. Check it out.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Jet Admin - Build business apps really fast

NumPy - NumPy is the fundamental package for scientific computing with Python

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