AI-powered code editors are speeding up API development by automating repetitive tasks, improving security, and optimizing performance. Developers now spend 55% less time on API creation, focusing more on design and business logic instead of boilerplate code. These tools reduce errors, generate real-time documentation, and enhance scalability, making API development faster and more efficient.

When integrating Snowflake, you have four main options to choose from, each suited to specific needs.

Modern data systems demand flexibility, tool interoperability, and strong data integrity. Legacy formats often create barriers with rigid schemas, inefficient partitioning, and weak transactional guarantees. Apache Iceberg overcomes these limitations with a modular design that decouples metadata from data storage, enabling smooth-schema changes, efficient query pruning, and ACID compliance across engines. This article explores Iceberg’s technical foundations.

Your API documentation is just as important as your API. It defines how easy it is for users to learn, understand, and use your open-source or paid-for product. In this post, DreamFactory highlights eight of the best API documentation examples from well-known tools. You can use these examples for inspiration when creating your API docs. Here are the key takeaways to know about each of these API documentation examples.

Boomi, previously known as Dell Boomi, is a well-known software provider for enterprise integration. It manages all the information and data that needs to flow between different companies, systems, and applications. Boomi products are designed to offer the best possible performance with the lowest possible latency. However, not everyone can afford or has room in their budget for this particular product.

If your startup is planning to build an app, you're going to need an Application Programming Interface, better known as an "API." The role of an API is to give your app a set of directions so it can get all the information it needs to interact with your business. APIs are extremely valuable, but they can also be difficult to navigate. Here's a look at the 10 best APIs for start-ups that will ensure your business has the fundamental technology needed to be successful in 2025.

Many businesses are on the lookout for robust alternatives to popular tools like CDATA. Whether it's due to cost, specific functionality, or compatibility requirements, finding the right tool can significantly impact your data management strategies. Here’s what you need to consider when looking for a CDATA alternative.

Apache Iceberg is transforming how organizations hanle data by solving key challenges in traditional data warehousing. It offers schema evolution without downtime, automated partitioning, ACID compliance, and time travel for historical data access. Its open table format separates storage and compute, enabling scalability, flexibility, and cost efficiency.

Microservices are an approach to building applications that focuses on breaking down monolithic applications into independent, but loosely-connected “microservices.” ESBs and microservices are both architectural approaches for integrating applications, but they have different strengths and weaknesses. ESBs are better suited for integrating monolithic applications, while microservices are better suited for building scalable and resilient applications.