May 28, 2020
News Flashes
I've kept you informed over the years about not just the latest news and features in SQL Server, but across the entire Microsoft Data Platform, both on-premise and in the cloud. This includes additional products such as SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), and their cloud siblings, Azure Synapse Analytics, and Azure Data Factory (ADF). Another important and powerful sibling product is Azure Cosmos DB, previously known as Document DB, which I first wrote about here many years ago.
DefinedCrowd, a data provider for artificial intelligence, is receiving $50.5 million in a Series B funding round, which will support DefinedCrowd's vision to create seamless interaction between people and machines. With this investment, DefinedCrowd plans to expand its existing solutions, launch new subscription-based offerings, and expand its global reach.
Docker has extended its strategic collaboration with Microsoft to simplify code to cloud application development for developers and development teams by more closely integrating with Azure Container Instances (ACI). The deeper collaboration, which also includes tighter integration with Visual Studio Code (VS Code), will allow developers to quickly start new language-specific projects (Node.js, Python, .NET Core/C#), leverage new functionality around the Compose Specification and streamline how they switch from local development to a serverless cloud container service while remaining in the Docker CLI user interface or from within VS Code.
ScaleOut Software is releasing its Digital Twin Streaming Service, a SaaS solution harnessing in-memory cloud computing to provide real-time analytics. By creating "real-time digital twins" that simultaneously analyze telemetry from thousands of streaming data sources, this solution enables customers to take advantage of deeper introspection and better real-time decision-making without waiting to query data at rest in data lakes.
Think About It
To predict how MongoDB may navigate COVID-19 and post COVID-19 environment would require an ability to predict how our industry as a whole will fare—which is a big ask. Nevertheless, let's give it a shot.