Database News & Reviews
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Low-code platform enables citizen developers to define custom application logic using a visual drag-and-drop editor.
Microsoft officially releases its "burstable" B-Series Azure cloud instances and opens the floodgates to massive cloud workloads with its new M-Series.
Blockchain is here and now, and it will continue to gain traction as it provides transparency to the supply chain–especially in complex supply chain industries, such as the automotive and retail industries.
At Connect 2017, Microsoft embraced Databricks, Cassandra and other open-source projects, hoping to become the go-to cloud provider for enterprise developers.
Company is positioning version 5.0 of its platform as infrastructure that fits directly into the rising trend of so-called UX (user experience) IT applications that are popping up everywhere.
Neo4j moves up the stack with advanced analytics for artificial intelligence applications and integrated visualization for non-technical users.
At this year's OpenWorld conference, Oracle had plenty of news it was eager to share, including a cloud price war it claims it is winning handily and the use of AI in cloud applications.
DAILY VIDEO: Oracle introduces Autonomous Database Cloud and robotic security; Oracle is injecting most cloud applications with artificial intelligence; Google kills the unpopular free article access requirement for publishers; and there's more.
eWEEK interviewed Oracle Executive Vice-President Steve Miranda about the high-level of the company's cloud and application news at OpenWorld 2017.
NEWS ANALYSIS: Oracle's Adaptive Intelligence is being built into existing cloud apps to provide more decision-making ability for line-of-business users.
NEWS ANALYSIS: In opening keynote at Oracle OpenWorld, Larry Ellison says both the Autonomous Database Cloud and a new security system use machine learning for automation to eliminate human labor, human error and manual tuning.
DBMS enables a new generation of smart, predictive applications designed to integrate fast data streaming, transactional workloads, analytics and machine learning.