Speedscale and Coder are two distinct tools that, while both aim to increase developer productivity, serve fundamentally different purposes. Both provide software development environments for enhancing productivity and collaboration in software development teams.

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

Have you ever wanted to make sure your assumptions about your code are correct? That’s where assertions come in. In programming, an assertion is a simple way to verify that certain conditions hold true in your code, helping you catch potential errors early before they snowball into bigger problems. Imagine building a house—you wouldn’t start putting up walls without first making sure the foundation is solid, right? Assertions work the same way in your code.

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.

Insurance companies have long relied on data to assess risk, underwrite policies, and handle claims. However, as the volume of data grows, so does the need for sophisticated tools to turn that information into actionable insights. Simply having access to data is no longer enough. To succeed, insurers must be able to harness the power of their data—transforming it into a strategic asset that drives both operational efficiency and improved customer outcomes.

Java is one of the most popular programming languages, known for its portability, scalability, and rich ecosystem. One of the critical components of the Java Runtime Environment (JRE) is the heap space, which plays a crucial role in memory management. While Java’s automatic memory management via garbage collection is powerful, it is not immune to problems. One such problem that developers frequently encounter is the dreaded OutOfMemoryError: Java heap space.

Yellowfin 9.13 is a significant release that introduces a number of security updates, quality improvements and product enhancements, as requested by our customers. In this blog, we will cover some of the biggest highlights in the 9.13 release. For the full list of updates, please visit our release notes page.

As applications increasingly rely on APIs to drive critical functionalities, the demand for high-performance, scalable, and secure API management solutions has never been greater. DreamFactory, an on-premise API generation and management platform, is designed to meet these needs by providing robust features such as rate limiting, caching, SQL function integration, and multi-tier architecture.

In the tech-friendly era of customer service and business operations, one technological revolution has swept through like wildfire- It’s the era of ‘Mighty Chatbots’! We know that your mind must be brimming with several questions like- Before talking about the cost, let us clarify the fact about why chatbots have swiftly become an indispensable tool for every business out there and are clamoring to integrate.