As of October 2025, the World Economic Outlook database and supporting documents will be accessible through the IMF Data portal. The World Economic Outlook (WEO) database is created during the ...

The IMF’s World Revenue Longitudinal Database (WoRLD) tracks government revenue trends since the early 1980s. This invaluable resource offers policymakers, researchers, and the public crucial insights ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and train ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Headline consumer price index (CPI) inflation Food CPI inflation Energy CPI inflation Core CPI inflation Producer price index inflation Gross domestic product deflator The database also provides ...

A decade ago, most businesses and organizations typically used one database, and that was generally one of the big four relational database platforms: Oracle, MySQL, SQL Server or PostgreSQL. In 2024, ...

Small businesses run on databases. These repositories of organized information can store virtually every kind of data imaginable, and they can sort that information and deliver it to you with a click ...

From performance to programmability, the right database makes all the difference. Here are 13 key questions to guide your selection. Picking the “right” database can often be critical to the success ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and the ...

Database admins strive to ensure that large chunks of data are both accessible and stored with integrity. By using these programming languages, they can keep systems optimized. As data volumes ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...