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Oracle vs Workday: What are the differences?

Introduction

In this article, we will discuss the key differences between Oracle and Workday, two popular software solutions used by businesses for different purposes.

  1. Scalability: Oracle is known for its scalability, capable of handling large and complex data sets with ease. It offers a wide range of products and services that cater to various industries and can support the growth and expansion of businesses. On the other hand, Workday is primarily focused on human capital management (HCM) and financial management, making it more suitable for smaller to medium-sized businesses with simpler requirements.

  2. Deployment Options: Oracle provides both on-premises and cloud-based solutions, giving businesses the flexibility to choose the deployment option that aligns with their specific needs and preferences. It allows organizations to have full control over their systems and data by hosting them internally. In contrast, Workday is a purely cloud-based solution, offering a subscription-based model where the software and data are hosted and maintained by Workday. This eliminates the need for organizations to manage the infrastructure and allows for easier access and collaboration across locations.

  3. Functionality: Oracle is an integrated suite of enterprise applications that covers a wide range of functionalities, including databases, ERP, CRM, supply chain management, and more. It provides a comprehensive solution with robust features and extensive customization options. Workday, on the other hand, focuses primarily on HCM and financial management, offering a more specialized and streamlined solution in these areas. However, it may not provide the same depth and breadth of features as Oracle in other areas outside its core specialties.

  4. User Experience: Oracle has been criticized in the past for its complicated and non-intuitive user interface. While efforts have been made to improve the user experience, it still may require some training and experience to fully navigate and utilize its functionalities. In contrast, Workday is known for its modern and user-friendly interface, designed with simplicity and ease of use in mind. It offers a more intuitive and visually appealing experience, making it easier for end-users to adopt and utilize the software efficiently.

  5. Integration and Customization: Oracle has a strong integration capability, allowing businesses to connect and exchange data with various systems and applications seamlessly. It also provides extensive customization options to tailor the software to specific business needs. Workday, on the other hand, has a more limited integration capability and may require additional tools and resources for integrating with other systems. While customization options are available in Workday, they are more restricted compared to Oracle, as Workday follows a configuration-based approach rather than allowing extensive code-level modifications.

  6. Cost: Oracle is generally considered to be more expensive, both in terms of licensing fees and implementation costs. Its comprehensive suite of products and services often comes with higher upfront expenses and ongoing maintenance costs. On the other hand, Workday usually follows a subscription-based pricing model, with lower upfront costs. However, it is essential to consider the scalability and long-term costs of both solutions based on the specific requirements and expected growth of the business.

In summary, Oracle offers a wide range of comprehensive and scalable enterprise solutions with extensive customization options but may come with a higher cost. Workday, on the other hand, focuses on HCM and financial management, providing a more intuitive user interface and a cloud-based subscription model, making it more suitable for smaller to medium-sized businesses with simpler needs.

Decisions about Oracle and Workday
Daniel Moya
Data Engineer at Dimensigon · | 4 upvotes · 462.9K views

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

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In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

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Pros of Oracle
Pros of Workday
  • 44
    Reliable
  • 33
    Enterprise
  • 15
    High Availability
  • 5
    Hard to maintain
  • 5
    Expensive
  • 4
    Maintainable
  • 4
    Hard to use
  • 3
    High complexity
  • 2
    Community Contribution

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Cons of Oracle
Cons of Workday
  • 14
    Expensive
    Be the first to leave a con

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    What is Oracle?

    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

    What is Workday?

    Workday is a leading provider of enterprise cloud applications for human resources and finance. Founded in 2005, Workday delivers human capital management, financial management, and analytics applications designed for the world’s largest organizations. Hundreds of companies, ranging from medium-sized businesses to Fortune 50 enterprises, have selected Workday.

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    What companies use Oracle?
    What companies use Workday?
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    What tools integrate with Oracle?
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    What are some alternatives to Oracle and Workday?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    Prophet
    Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.
    IBM DB2
    DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    See all alternatives