Google LLC’s cloud division is rolling out new database and data cloud innovations to support customers building and scaling artificial intelligence applications to ensure that they are grounded in ...
Seeweb introduces Cloud DB, its new Database as a Service (DBaaS) platform designed to deliver scalable, secure, and automated database management. The solution is ideal for mission-critical ...
An operating system on top of a distributed database, DBOS is a tantalizing glimpse of something that may eventually turn out to be cool. At the end of March 2024, Mike Stonebraker announced in a blog ...
There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...
For several years now, cloud computing has been heralded as the ultimate solution for IT infrastructure, promising scalability, flexibility, and cost savings. Organizations of all sizes rushed to the ...
A cloud-first application modernization strategy can open up a range of benefits for a business, including cost savings, agility in scaling, reduced downtime, security features and more. Leaders who ...
With an emphasis on AI-first strategy and improving Google Cloud databases' capability to support GenAI applications, Google announced developments in the integration of generative AI with databases.
MariaDB Enterprise Platform 2026 powers modern AI application development by uniting transactional and analytical workloads with native vector search, built-in RAG and intelligent agents – all on the ...
Wilmington, Delaware - January 15, 2026 - PRESSADVANTAGE - PSCI, an IT staffing agency specializing in project-based ...
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
Cloud databases, also known as Database as a Service (DBaaS), offer a range of benefits for developers, particularly in terms of ease of use, deployment options, disaster recovery, and scalability.
Integrating CRM software with .NET applications is one of the best strategies for achieving quick and accurate data-driven decisions. However, here is where it gets challenging.
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