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.

The need for APIs has increased exponentially as the world becomes more technologically connected. Companies now look to how an API proxy can protect their data and create workflow efficiencies. But what are they, and why do you need one? Read on to discover more about API proxies, how they work, and whether you should use them in your business. The key takeaways from this article are.

For years, data teams have struggled within proprietary ecosystems that prioritize vendor control over flexibility. Once a platform is chosen, switching becomes an expensive ordeal. Data formats, tightly coupled with specific tools, create rigid boundaries that make migrating workloads or integrating new technologies arduous. Moving datasets between systems often requires costly transformations and manual rewrites that consume time and resources.

APIs are the backbone of modern enterprise systems, but they also expose organizations to significant risks like data breaches and compliance failures. 85% of companies struggle to secure APIs, making robust API security essential. Here's a quick guide to protect your APIs effectively: Start by implementing basic safeguards like secure communication protocols, then move to advanced practices such as dynamic testing and centralized API management.