As enterprises accelerate their AI initiatives this year, modernizing data infrastructure to support new use cases is a top priority. When it comes to databases, there is a wide variety of choices for ...

When XML came along five years ago, promising to rewrite the rules of data management, vendors of relational databases took note, but they didn’t panic. They’d already seen this movie a decade before, ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

MongoDB's Q4 FY24 results showed 27% revenue growth and 86.1% adjusted operating profit growth, supporting the belief in above 20% revenue growth in the future. MongoDB Atlas, the cloud-based database ...

How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of all invention, and over the past 20 years, it ...

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The newest release of the software boasts many mission-critical features that are simply not available in competing products. These new features help with administration and internal database ...

In the development of artificial intelligence technology, DataStax Inc. has made it its mission to provide a cloud-native vector database to help catalyze the next wave of AI innovations. The true ...

Cutting corners: MySQL is a popular open-source relational database management system developed by Swedish company MySQL AB in the mid 90s. Sun Microsystems acquired the firm in 2008, which Oracle ...

Real-time analytics, vectors, time series data, graphs, cloud native, microservices, geo-distributed, open source – the world of database management continues to evolve with new types of databases, ...