Data today is too distributed and too large to move it to where the processing is performed. Now, businesses must find ways to move the processing close to the data—and the closer, the better.

More survey respondents (53%) chose hybrid or multicloud data warehousing as one of the most important data warehousing-related trends of this year, over any other trend.

Trends shaping business imperatives and driving cloud toward data. The distributed data cloud is not a single tool or platform, but an ecosystem pattern that gets data to the right place and the ...

Here are six data trends for the next decade — the biggest opportunities and challenges for managing, digesting and taking advantage of your data: 1. Real-time analytics visualization continues ...

Moving into 2025, I see a shift in database engineering propelled by six significant trends, each of which will shape how enterprises gather, store, process, and protect their most valuable resource: ...

A distributed “multi-master” database can be configured to run in a geographi­cally distributed cluster of nodes, each of which can accept read and write traffic. This makes it possible to ...

More on-premises and hybrid cloud use. A negative trend can also be seen in pure cloud usage: 30% of companies hosted databases completely or largely in the cloud in 2024, compared to 36% in 2023.

With this in mind, it’s critical that we connect with peers across industries about the trends they are experiencing so we can work together to ensure secure and accessible data use this year and ...

Today, a company called Yugabyte, which has built an open-source distributed SQL database model to help handle all that volume, is announcing that it has raised $188 million at a valuation of over ...

AWS is expanding the capabilities of its cloud database portfolio, while at the same time reducing costs for enterprises.. In a session at AWS re:invent 2024 today, the cloud giant outlined a ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had.If you wanted the database to handle more data and run ...