LLM Data Gateways are specialized tools that prepare and secure data for AI systems, ensuring better performance, compliance, and cost efficiency. They act as a bridge between raw data and large language models (LLMs), solving common challenges in AI like poor data quality and security risks.

API authentication is hard. Problems like insecure credential transmission, complex OAuth setups, and scaling API key management make it even harder. DreamFactory simplifies these challenges with tools like automated API key management, OAuth 2.0 integration, and JWT support.

API traffic now accounts for 57% of all Internet activity, fueled by AI adoption and the growing demand for real-time data. But this surge comes with challenges: complex development, lack of standardization, and security risks. Automated API generation is the solution.

Managing databases doesn't have to be complex. Visual dashboards simplify database updates, making them safer and easier, even for non-technical users. Powered by tools like DreamFactory APIs, these dashboards provide secure, user-friendly interfaces for tasks like updating records, managing schemas, and exploring data - all without direct database access.

The United States is investing $500 billion into AI infrastructure, aiming to lead the global AI race. This initiative, backed by OpenAI, SoftBank, and Oracle, focuses on building data centers, chips, and scalable systems. But here's the catch: APIs are the key to making this investment work. APIs are the backbone of this effort, and their success will determine whether this $500 billion gamble pays off.

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.