Systems | Development | Analytics | API | Testing

Breaking Down Silos: Using DreamFactory to Connect Your Legacy ERP to the Cloud

Integrating legacy ERP systems with cloud platforms is a critical step for businesses aiming to improve operational efficiency and data accessibility. APIs play a key role by providing secure, standardized communication between systems. DreamFactory simplifies this process by automating the creation of REST APIs for SQL Server-based ERP systems.

Should I Use an API Wrapper for SQL Server?

SQL Server is a cornerstone RDBMS for enterprise applications, handling transactional workloads, analytics, and complex querying. As modern architectures increasingly rely on APIs for data access—particularly in microservices, cloud-native systems, and third-party integrations—efficient exposure of SQL Server data has become essential. API wrappers simplify this process by automating the creation of RESTful endpoints for SQL Server, reducing the need for custom API development.

Kotlin vs Java: Definitions, Key Features, and Use Cases

Java and Kotlin have been at the forefront for Android development and beyond. Java, a very reliable language with over two decades of dominance, has shaped the foundation of countless software applications and systems. Kotlin, on the other hand, is a newer language designed to improve upon Java, offering modern syntax, enhanced safety, and greater developer productivity. But how do these languages compare in terms of features, performance, use cases, and community support?

Top Benefits of Claims Process Automation

Today’s policyholders expect fast and reliable insurance service tailored to their needs. Claims organizations need to accurately and efficiently manage claims while balancing the growing demand for speed and reliability. However, operational bottlenecks and lack of business agility continue to delay claims resolutions and increase costs. Leading insurance companies are turning to process automation to improve customer satisfaction and employee experience.

Connecting to Apache Iceberg with REST APIs

Managing and accessing massive datasets is increasingly challenging as the pace of data generation accelerates. Enterprises face growing difficulties in ensuring secure, scalable, and high-performance interaction with data systems while adapting to dynamic requirements. This blog explores how Apache Iceberg and DreamFactory address these issues.

EP14: Platform Engineering for Architects

In this episode, hosts Sanjiva and Asanka are joined by special guest Daniel Bryant to explore the evolving practice of platform engineering through the lens of software architecture. They discuss why platform engineering should have a product mindset with developers as its primary customers, how platform and software architectures are symbiotic, and why good APIs, abstractions, and automation are essential for success. The conversation also highlights the role of internal developer platforms (IDPs) in enabling efficient and scalable software delivery.

What's new in Ruby 3.4

According to Ruby tradition, the core team will release Ruby 3.4 on December 25—but the preview has been out since May! If you're anticipating the release like we are, you're probably wondering what's new in Ruby 3.4. There aren't any huge changes in this release, but you'll want to be aware of a few really cool things. Let's dig into some of the language changes first.

Develop an app like Doordash: Cost & Features

The demand for food delivery services is skyrocketing, driven by our busy lifestyles and the need for convenience and variety. Apps like Uber Eats, Zomato, and DoorDash have changed how we order food, giving us access to countless restaurant options and smooth delivery experiences. For entrepreneurs, developing an app similar to DoorDash is a great opportunity to tap into this booming market.