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OutSystems VS Dataiku

Compare OutSystems VS Dataiku and see what are their differences

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A simple way to keep all your data under control. Build your own business applications in just 4 minutes. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

OutSystems logo OutSystems

Build Enterprise-Grade Apps Fast.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • OutSystems Landing page
    Landing page //
    2023-05-10
  • Dataiku Landing page
    Landing page //
    2023-08-17

OutSystems

Website
outsystems.com
Pricing URL
Official OutSystems Pricing
Release Date
2001 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Paulo Rosado
Employees
1,000 - 1,999
Edit details

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999
Edit details

OutSystems features and specs

  • Speed of Development
    OutSystems offers rapid application development through its low-code platform, allowing developers to build apps much faster than traditional coding approaches.
  • Integration Capabilities
    The platform supports easy integration with existing systems, databases, and a wide range of third-party services, making it versatile for various business environments.
  • Scalability
    OutSystems provides scalable architecture, enabling applications built on the platform to grow and handle increasing loads efficiently.
  • Cross-Platform Deployment
    OutSystems allows for seamless deployment across multiple platforms, including web, mobile, and desktop, from a single codebase.
  • User Experience (UX) & UI Components
    The platform offers a wide range of pre-built UI components and templates, which helps in creating visually appealing and user-friendly applications.
  • Strong Community and Support
    OutSystems has an active community of developers and offers extensive documentation and support, aiding in problem-solving and learning.
  • Security
    OutSystems emphasizes security, providing built-in features like role-based access control, audit logs, and encryption, ensuring that applications are secure.

Possible disadvantages of OutSystems

  • Cost
    OutSystems can be expensive, especially for smaller businesses or startups due to its pricing structure, which may restrict its accessibility.
  • Learning Curve
    Although it is a low-code platform, mastering OutSystems requires a certain amount of learning and adaptation, especially for developers used to traditional coding.
  • Vendor Lock-In
    Applications built on OutSystems are tightly coupled with the platform, which can make it difficult to migrate to other solutions if needed.
  • Complex Custom Requirements
    While OutSystems is highly flexible, certain complex custom functionalities might still require traditional coding or workarounds, which can increase development time.
  • Performance
    For highly complex or performance-sensitive applications, the abstraction provided by a low-code platform like OutSystems can sometimes lead to suboptimal performance.
  • Limited Offline Capabilities
    Offline capabilities are somewhat limited compared to fully native development options, potentially restricting the use cases for certain types of mobile applications.
  • Dependency on Proprietary Tools
    Relying on OutSystems means depending on proprietary tools and services, which could be a disadvantage if the company decides to change its toolset or strategy.

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 OutSystems

Overall verdict

  • Overall, OutSystems is considered a good choice for organizations looking to streamline their application development process, allowing them to focus on business logic and user experience rather than technical complexities. Its powerful features and ease of use make it an attractive option in the low-code development market.

Why this product is good

  • OutSystems is widely regarded as a robust low-code application development platform that facilitates faster application delivery. It allows businesses to rapidly develop, deploy, and manage apps with minimal hand-coding, making it accessible for organizations that need to build applications quickly but may not have extensive technical resources. Additionally, the platform offers seamless integration capabilities, scalability, and a wide range of pre-built templates and components that accelerate the development process.

Recommended for

  • Businesses seeking rapid development and deployment of applications.
  • Organizations with limited technical resources or looking to minimize hand-coding.
  • Companies needing scalable solutions that can evolve with their business needs.
  • Teams that require seamless integration with existing systems and third-party services.
  • Enterprises looking for a versatile platform that can be used to build both web and mobile applications.

OutSystems videos

+ Add

Outsystems: Low-Code Apps - This Week in Enterprise Tech 317

More videos:

  • Review - OutSystems Overview

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 OutSystems and Dataiku)

OutSystems

Dataiku

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Project Management
100 100%
Project Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using OutSystems and Dataiku. For example, how are they different and which one is better?
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Reviews

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

OutSystems Reviews

Low-Code Platforms Compared: Enterprise Guide for Developers
OutSystems: Strong enterprise governance, lifecycle tooling, and AI-assisted development, with newer agent capabilities through Agent Workbench. Good fit for governed app delivery, but less suited to cross-system orchestration.
Source: rierino.com
Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: This established low-code platform delivers rapid application development with a focus on scalability and security. OutSystems offers a mature platform ideal for building mission-critical enterprise applications. It boasts strong features for API management, integration with various data sources, and cloud deployment options.
Source: medium.com
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
Development With No Limits. Everything you need to build enterprise apps incredibly fast. Every aspect of OutSystems is crafted to help you build better apps faster and make changes easily. From high-productivity visual development to powerful tools to deploy and manage your apps. Key features include:
Source: www.edigitalagency.com.au
Android Studio Alternative
OutSystems is a low-code platform that allows businesses to create, deploy, and manage multichannel enterprise apps. You can handle your application backlog, offer cloud-based contemporary apps, and stay up with changing company needs to promote future innovation with OutSystems. OutSystems is a modern application platform that allows you to substantially accelerate the...
Source: www.educba.com
10 Best Low-Code Development Platforms in 2020
OutSystems provides the platform for developers to easily deliver and edit those applications. Salesforce Lightning is a suite of tools for developing business apps. Zoho Creator low code development platform can be used by non-developers and is perfect for building simple applications.
Source: www.softwaretestinghelp.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, OutSystems seems to be more popular. It has been mentiond 2 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.

OutSystems mentions (2)

  • How I became low-code certified with OutSystems
    This month, I followed in the footsteps of many other OutSystems developers and completed the exam to become a certified Associate Reactive Developer. This exam focuses on the fundamentals of OutSystems reactive web and mobile application development, and is for developers new to the OutSystems platform. - Source: dev.to / about 2 years ago
  • OutSystems Dynamic Request Routing in Multi-tenant Systems with Amazon CloudFront
    Check out the AWS Architecture Blog to see how OutSystems designed a globally distributed serverless request routing service for its multi-tenant architecture. Source: about 5 years ago

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 OutSystems and Dataiku, you can also consider the following products

Mendix - Mendix is the fastest and easiest low-code platform used by businesses to create and continuously improve mobile and web apps at scale.

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

Zoho Creator - Zoho Creator is a low-code application development platform that helps you build a custom, mobile-ready apps to run your business.

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

Xamarin - Create iOS, Android and Mac apps in C#

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

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