January 2021 saw some major cloud database developments in a fast-moving, fast-growing, customer-demand-driven market.
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Data automation allows companies to conduct operations more consistently, securely, and reliably. Learn how one company tackled the challenges.
This high-level checklist from InfoWorld is a good guide for areas to consider in your cloud data projects (there are several ads on the page however). You can use each item to start a broader discussion internally, identify key people needed, and new topics to consider that you may haven’t before.
The cloud database market is being upended by a new breed of providers, led by Snowflake but there are many others.
Covid-19 has accelerated digital transformation for 88% of global organizations. Trend Micro research reveals the increase in cloud adoption may leave business data insecure.
As Ellison fuses his red-hot self-driving database with his tiny cloud-infrastructure business, Oracle Autonomous Database surges to 150% revenue growth.
Google Cloud racked up major Q3 wins in healthcare, financial services and retail, as CEO Sundar Pichai cited “great momentum” for its cloud business.
Microsoft CEO Satya Nadella posted an intriguing video on LinkedIn this week extolling the virtues of what he called a “hyperscale limitless database.”
As business customers demand easy-to-use and modern data solutions, a new arms race is developing among the Cloud Wars Top 10 to answer those demands.
A major driver behind Oracle stock hitting an all-time high Wednesday was its revolutionary “self-driving” Autonomous Database.
What a recent blog post reveals about how AWS is gunning for victory in the Amazon versus Oracle cloud database competition.
Larry Ellison using Oracle Autonomous Database to redefine the cloud industry to play to Oracle’s dominant strengths instead of its Amazon-era weaknesses.
Oracle founder Larry Ellison this week said businesses using arch-rival Amazon’s Amazon Web Services cloud have become major cybersecurity threats
Oracle – Founder, Larry Ellison, said company’s future is determined by fortunes of its Cloud ERP SaaS service & its self-driving Autonomous Cloud Database.
Google Cloud’s infrastructure strategy gives frontier AI lab Mirendil the flexibility and scale needed to speed up the AI research loop.
Enterprise AI success increasingly depends on trusted, interoperable data that connects existing technology investments with autonomous processes and next-generation business models.
Google Cloud’s Q2 revenue reached $24.8 billion, up $4.8 billion sequentially. Microsoft Cloud also added $4.8 billion, while AWS added $4.6 billion, suggesting remarkably close competition for incremental customer spending among the three hyperscalers.
Google Cloud delivered standout Q2 momentum, adding as much new quarterly revenue as Microsoft and more than AWS despite operating from a significantly smaller revenue base.
SAP delivered 24% cloud revenue growth in Q2 while expanding its cloud backlog to $26.3 billion, with CEO Christian Klein crediting the company’s global partner ecosystem and AI strategy for accelerating customer adoption and positioning SAP for $30 billion in cloud revenue next year.
Microsoft’s investment in Databricks reflects a broader strategy to strengthen every layer of the enterprise AI stack—from infrastructure and data platforms to intelligent business applications.