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, ...
The world used to get by on just a smattering of databases. You know, trusty relational workhorses like Oracle, Microsoft SQL Server, Ingres, and IBM DB2. Soon enough, however, open source crashed the ...
Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...
The design of a database determines what method is best suited for backing it up, and those methods vary quite a bit. In order to back up a database, you need to know how it’s delivered, but you also ...
Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...
Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...
Last month we looked at various types of database recovery, how they work, and how DBAs need to prepare for recovery scenarios. This month, let’s delve a little deeper into the issues and decisions ...
Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on everything, ...
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