MongoDB's document-based database structure is better suited for the demands of the AI and big data era, offering flexibility and scalability at a lower cost. The global database market is projected ...

Despite all the publicity around Big Data and Apache Hadoop, a new database deployment survey indicates traditional, structured relational database management systems (RDBMS) still reign among ...

Oracle (NYSE: ORCL) first introduced its relational database (the one that can be visualized in tables of rows and columns) in the late 1970s. While the Oracle database served user needs for decades, ...

LONDON--(BUSINESS WIRE)--With access to huge troves of business-critical data, most businesses already have the data required to make effective data-driven decisions. But to unlock the true potential ...

Before delving into how MongoDB and Cassandra are different, let's document what they have in common. They're both databases, obviously. More importantly, they are both examples of NoSQL databases.

When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

IDC estimates that upwards of 80% of business information is likely to be formed of unstructured data by 2025. And while “unstructured” can be something of a misnomer, because all files have some sort ...

Structured data is a small and declining percentage of business information. But it is critically important for almost all organisations. Structured data volumes are growing more slowly than stores of ...

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