On-premises software is stored on local machines, such as desktop computers or servers, so people connected to a network can access critical features. Within an enterprise context, on-premises software almost exclusively exists on on-site servers that multiple employees can access. You might already know that many business leaders want to embrace cloud strategies.

If your business deals in large volumes of data, chances are that you are at least somewhat familiar with PostgreSQL, or you may use it actively in your data management strategy. PostgreSQL is a powerful relational database system, and it is completely open source. As of 2019, PostgreSQL was the second-most-common database solution for professionals. Thirty-four percent of more than 75,000 Respondents reported that it was their first choice.

Microservices architecture has emerged as a popular approach for developing software applications in recent years. Instead of building monolithic applications, microservices architecture involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently. This approach offers a number of benefits, including increased flexibility, better scalability, and improved fault tolerance.

The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.

The rapid development and deployment of software applications largely rely on the power of APIs. These Application Programming Interfaces act as the glue holding together various components, enabling efficient communication and data exchange between them. From mobile apps to web services and enterprise systems, APIs are ubiquitous, playing a critical role in the seamless functioning of modern software architecture – but its important to take internal API security risks seriously.

Spencer Nguyen - December 5, 2023 Worldwide government IT spending is forecast to total $589.8 billion in 2023, an increase of 7.6% from 2022, according to Gartner, Inc. As technology integration becomes more prevalent in society, the government, organizations, and businesses must begin the process of digital transformation. When it comes to successful digital transformations, APIs and databases are at the core.

Data mesh, it’s one of the hottest data science topics among software engineering teams, data scientists, and anyone interested in building a more effective data infrastructure. This concept is a relatively new model for data management, helping large enterprises scale their data footprint to accelerate digital transformation. Many industries, like retail and banking, see how crucial data is, yet few have mastered ways to harness it. API generation for data mesh is one of the ways you can start.

As the world undergoes a digital transformation, APIs (Application Programming Interfaces) are becoming increasingly important. An API is a set of rules allowing the software to communicate with others. In other words, APIs act as a bridge between different applications. As a business owner, staying up-to-date on the latest API trends is essential. This article will discuss 11 important API initiatives for the upcoming year.

Organizations often grapple with the choice between two distinct but equally vital technologies: API generation and ELT (Extract, Load, Transform) solutions. While both serve as essential tools, they stand at opposite ends of the data management spectrum. API generation focuses on facilitating real-time data access and dynamic communication between software applications, whereas ELT specializes in the consolidation, transformation, and preparation of data for analytics.

Private APIs vs. internal APIs – at first glance, they might seem synonymous, given their non-public nature. However, delving deeper reveals unique characteristics and purposes for each. As with any technical concept, a clear understanding is key to harnessing its full potential. To help navigate this intricate landscape, this article aims to demystify these terms, shedding light on their similarities and, more importantly, their differences.