Five Minute Briefing - Information Management
September 19, 2022
Five Minute Briefing - Information Management: September 19, 2022. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.
News Flashes
Open source cloud data platform company, Aiven, is unveiling its beta launch of Aiven for ClickHouse, initially debuted at Uptime—the company's first annual developer conference. The beta iteration of Aiven for ClickHouse introduces the enterprise to the cloud data warehousing market, allowing for accelerated open source columnar database access for Aiven customers. Users seeking to employ high-performance analytics for critical business insights will have Aiven ClickHouse's fully managed cloud data warehouse in their Aiven toolbelt.
Universal deployment automation company, Octopus Deploy, is debuting its latest product updates to Octopus ServiceNow Change Management Integration and Octopus DevOps Insights early access—highlighting the company's commitment towards improving DevOps workloads through process error avoidance and extensive insights. Octopus Deploy's work with more than 350,000 IT professionals serves as a testament towards its knowledge of effective DevOps contribution via deployment automation practices, according to the vendor.
Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern enterprises. NoSQL databases offer a solution to legacy database architectures, offering scalable, consistent performance—but how do you migrate such large quantities of data without overcomplicating a new architecture?
ScaleOut Software, developers of scalable, highly available, in-memory computing and streaming analytics technology software, is debuting Version 2 of the ScaleOut Digital Twin Streaming Service for implementing streaming analytics in live systems via the digital twin model. The latest launch builds from the Version 1 iteration of the program, consisting of machine learning integration into digital twins with Microsoft's ML.NET library, intuitive business rules to create digital twin models, and Microsoft's Azure Digital Twins integration.