Software Alternatives, Accelerators & Startups

Appian VS Oracle Data Science Platform

Compare Appian VS Oracle Data Science Platform and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Appian logo Appian

See how Appian, leading provider of modern low-code and BPM software solutions, has helped transform the businesses of over 3.5 million users worldwide.

Oracle Data Science Platform logo Oracle Data Science Platform

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.
  • Appian Landing page
    Landing page //
    2023-10-20
  • Oracle Data Science Platform Landing page
    Landing page //
    2022-11-08

Appian features and specs

  • Low-Code Development
    Appian allows users to create applications with minimal hand-coding, catering to business analysts and developers alike. Its drag-and-drop interface simplifies development and accelerates time-to-market.
  • Process Automation
    Appian excels in automating complex business processes, improving operational efficiency, and reducing human error. Its powerful BPM tools streamline workflows effectively.
  • Integration Capabilities
    Appian provides strong integration capabilities with various third-party systems, databases, and cloud services. This ensures that applications can seamlessly communicate with existing enterprise systems.
  • Enterprise-Grade Security
    Appian offers robust security features, including role-based access control and data encryption, making it suitable for businesses with stringent security requirements.
  • Scalability
    As a cloud-native platform, Appian is highly scalable, supporting the needs of growing enterprises by easily handling increased loads and more complex applications.
  • User Experience
    The platform provides a user-friendly interface, both for developers building the applications and end-users interacting with them, enhancing overall user satisfaction.

Possible disadvantages of Appian

  • Cost
    Appian can be expensive, particularly for small to medium-sized businesses. Its pricing model might not be feasible for organizations operating on a limited budget.
  • Learning Curve
    Although it simplifies development, mastering Appian still requires a learning curve. Users need to invest time in training, which can slow down the initial development phase.
  • Complex Customization
    Highly tailored or very specific customizations can be challenging to implement within Appian. Some complicated functionalities may require extensive workarounds.
  • Limited Offline Functionality
    Appian's offline capabilities are limited, which can be a disadvantage for field services or users who need to access the application without a reliable internet connection.
  • Vendor Lock-In
    Due to its proprietary technology, organizations may face vendor lock-in, making it challenging to migrate applications or data to another platform if needed.
  • Performance Issues at Scale
    While Appian is scalable, some users report performance issues when running extremely large and complex applications, which can impact user experience and overall efficiency.

Oracle Data Science Platform features and specs

  • Integrated Ecosystem
    Seamless integration with Oracle Cloud Infrastructure and other Oracle services, providing a cohesive ecosystem for data management, storage, and computing.
  • Scalability
    Highly scalable platform that can handle large volumes of data and complex machine learning models, making it suitable for enterprises with significant data needs.
  • Security
    Robust security features including data encryption, access controls, and secure networking, ensuring that sensitive information is protected.
  • Automated Machine Learning
    Supports AutoML capabilities, enabling users to automate the model selection, training, and hyperparameter tuning processes, which reduces the time and expertise required.
  • Collaboration Tools
    Tools for collaborative data science workflows, including shared projects, version control, and integrated Jupyter Notebooks, enhancing team productivity.
  • Comprehensive Analytics
    Comprehensive analytics and visualization tools that allow users to explore data, identify patterns, and gain insights without needing to switch platforms.

Possible disadvantages of Oracle Data Science Platform

  • Cost
    High cost relative to some other data science platforms, which might make it less accessible for smaller organizations or startups.
  • Learning Curve
    Steep learning curve for new users, especially for those not already familiar with Oracle's ecosystem and cloud offerings.
  • Vendor Lock-In
    Strong integration with Oracle products can lead to vendor lock-in, making it difficult to migrate data and models to other platforms in the future.
  • Limited Non-Oracle Integration
    Less straightforward integration with non-Oracle platforms and third-party tools compared to more open-source or platform-agnostic options.
  • Complexity
    High complexity and feature-rich nature might be overkill for smaller projects or teams with simpler data science needs.

Analysis of Oracle Data Science Platform

Overall verdict

  • The Oracle Data Science Platform is a strong choice for organizations that are already using Oracle services or those who require a scalable and secure cloud-based data science solution. Its extensive features cater well to both enterprise and smaller scale projects, making it a versatile option.

Why this product is good

  • The Oracle Data Science Platform is considered robust due to its comprehensive suite of tools designed for data scientists to build, train, and deploy machine learning models. It offers strong integration with Oracle Cloud Infrastructure, scalable compute resources, and support for popular open-source libraries. Additionally, its collaborative features and built-in security protocols ensure efficient team work and data protection.

Recommended for

    The platform is recommended for large enterprises, especially those with existing Oracle infrastructure, data science teams requiring robust collaboration tools, and organizations that need to leverage cloud computing for machine learning workloads.

Appian videos

Appian CEO: Delivering ‘Mission-Critical’ Software | Mad Money | CNBC

More videos:

  • Review - This is Appian
  • Review - Appian Application Designer: Build Applications in Days, not Years

Oracle Data Science Platform videos

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

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Category Popularity

0-100% (relative to Appian and Oracle Data Science Platform)
BPM
100 100%
0% 0
Data Science And Machine Learning
Workflow Automation
100 100%
0% 0
Data Science Tools
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 Appian and Oracle Data Science Platform

Appian Reviews

Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: A powerful low-code platform, Appian caters to large enterprises with complex business process automation needs. It offers robust workflow management capabilities, allowing you to automate intricate business processes with decision-making logic and case management features. Appian excels in industries like finance, insurance, and healthcare, where complex...
Source: medium.com
7 Best Business Process Management Tools (2023)
Appian is used by companies to automate their routine tasks, integrate with other enterprise tools, and create custom workflows. It offers a wide range of features such as mobile app development, chatbots, AI assistants, etc.
11 Business Process Management (BPM) Software for SMBs
Experience the power of business workflow automation with Appian and accelerate your business governance, results, and efficiency. Appian simplifies your workflow design to empower users and pro developers to draw processes, such as a flowchart.
Source: geekflare.com
10 Best Low-Code Development Platforms in 2020
Verdict: Appian is the provider of the software development platform. The Appian low code development platform is a combination of intelligent automation and low-code development.
Best Google App Maker alternatives in 2020
Appian excels when used to create form-based apps. The product does allow building custom UI components, but only by using Appian’s in-product customization tools. Appian’s reasoning for this is security and to ensure JS compliance across browsers and devices.
Source: retool.com

Oracle Data Science Platform Reviews

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

Based on our record, Appian seems to be more popular. It has been mentiond 5 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.

Appian mentions (5)

  • Low-Code tools & Frontend
    Does any of you use a low-code tool like Retool or Appian? If so, what is the most common use case? Source: over 2 years ago
  • Appian Associate Developer Certification help
    Look for use case inspiration in the Solutions area of appian.com and within the AppMarket. See if you can build proof of concepts of some of these. Source: over 2 years ago
  • What is best way to create an online responsive database driven website to help manage my small orchard?
    There are low code database driven website creation systems out there at the moment e.g. OutSystems and Appian however they have very limited free trials (e.g. auto-disable after a few days of no use), and then the paid options are again too expensive. Although I will note that they seem to be great in terms of their usability and would be perfect for creating a simple interface without too much diving into code. Source: almost 3 years ago
  • Software Engineer role - Transferable or Pigeon-holed?
    My concern however is - the working software isn't a generic language such as Java, C#/C++, Python etc. - it is with Appian (Business Process Management), which is a rather specific low-code platform for developing workflow and automation solutions. The role does have other elements potentially too such as getting hands on cloud and API dev etc. The pay for Appian Developers currently is GREAT due to high demand -... Source: about 3 years ago
  • What is low code?
    Platforms like UiPath, Workato, and Appian provide ways to integrate apps and automate the processes that connect and flow between them. - Source: dev.to / almost 4 years ago

Oracle Data Science Platform mentions (0)

We have not tracked any mentions of Oracle Data Science Platform yet. Tracking of Oracle Data Science Platform recommendations started around Mar 2021.

What are some alternatives?

When comparing Appian and Oracle Data Science Platform, you can also consider the following products

Camunda - The Universal Process Orchestrator

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

Kintone - Build business apps and supercharge your company's productivity with kintone's all-in-one...

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

Scoop Solar - Scoop Solar is a comprehensive mobile business process management tool for growing solar companies.

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