The global API market’s value reached $5.42 billion in 2024 and is expected to grow to $34.17 billion by 2032. This exponential growth underscores the increasing reliance on APIs for digital transformation strategies. As the API economy expands, so does the complexity and volume of data exchanged through APIs. API reporting tools streamline this process by providing all the features you need to leverage APIs effectively.

92% of enterprises are working on or planning an application modernization strategy. This trend shows a growing focus on upgrading technology. Modernizing existing systems and data infrastructure allows organizations to turn old, inefficient setups into flexible, scalable solutions that support future growth. These initiatives mitigate the risks of outdated technology and position companies to take advantage of new opportunities, such as big data analytics and integration with cloud technologies.

Both business intelligence (BI) and data analytics help businesses make the most of their data through insights. While the two terms are related, they’re not the same and cannot be used interchangeably. The biggest difference is that business intelligence requires data analytics to generate results, but data analytics works well even independently of business data. Let’s do an in-depth comparison of the two and see if the business intelligence vs. data analytics debate is justified.

The global EDI market, valued at USD 36.52 billion in 2023, has a projected compound annual growth rate (CAGR) of 12% from 2024 to 2032. As organizations worldwide increasingly turn to EDI to enhance their business processes, the role of VANs in facilitating seamless data interchange has garnered significant attention. This blog provides a comprehensive overview of EDI VANs, detailing their functionalities, benefits, and important aspects to consider when selecting the right EDI communication method.

A resource catalog is a systematically organized repository that provides detailed information about various data assets within an organization. This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance, and utilization.

Over 66% of organizations still rely on legacy applications for their core operations, and more than 60% use them for customer-facing functions. This widespread dependence on outdated technology highlights the significant role legacy systems play in modern business environments. Despite their critical functions, these systems also lead to increased maintenance costs, security vulnerabilities, and limited scalability.

Application Programming Interface (API) monitoring tools are essential software solutions designed to closely monitor API performance, availability, and security. These tools track key performance metrics like response time, throughput, and latency, helping organizations identify and resolve any issues that could slow down or disrupt their services. These monitoring tools are essential for ensuring APIs remain available and reliable for users.

79% of organizations acknowledge their increasing reliance on APIs for revenue generation. APIs facilitate transactions, streamline operations, and enhance customer experiences. However, any disruptions or malfunctions in API functionality can have significant consequences. While API testing addresses these issues, API test automation is essential for ensuring APIs function correctly and reliably.

REST APIs, or Representational State Transfer APIs, provide a standardized approach for applications to communicate and exchange data efficiently. However, building and managing these APIs can be time-consuming and involve repetitive tasks. This is where REST API tools help. These are software solutions designed to simplify and streamline the entire process for developers, making it more efficient to build, test, and manage REST APIs.

Data fabric is an architecture that integrates different data systems and tools. It provides unified access to data stored across various locations to organize, manage, and govern it without moving it to a central database or data warehouse or changing its format. Data fabric relies on metadata to ‘understand’ the data’s structure, lineage, and meaning across various sources. This information enables informed decision-making and optimized data usage.