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That momentum continued here this week at Microsoft's Build developer conference, with additional tools for cost controls, consistency and uptime. Multi-master write replication, currently in preview, is probably the most important update to. The service cloud can already elastically scale reads, but this write feature extends that scalability. Write masters can sit in any Azure region and the feature boosts availability to 99.999% and guarantees single-digit write latency. The addition of the multi-master feature isn't particularly surprising, given the conflict created when a single master controls a globally distributed database. This capability also is in other managed cloud databases from Google. Where Azure Cosmos DB may be unique is in Microsoft's attention to resolve those conflicts. The company put protocols in place to address those problems, including automatic detection and multiple policy choices for how best to resolve those issues. Tony Baer 'They're definitely ahead of the curve in that sense,' said Tony Baer, an analyst at Ovum. 'They're not the only ones doing it, but they're one of the few doing it at that scale.' Johnson Controls, an HVAC multinational manufacturer headquartered in Milwaukee, uses Cosmos DB as part of its IoT deployments in customers' facilities. Working with different environments can result in multiple data models and protocols, so Cosmos DB was an attractive option to establish a single place to pull in data from multiple sources, said Justin Ploegert, senior staff engineer at Johnson Controls. 'It lends itself to being really adaptable so you don't have to rebuild your whole repository,' he said. 'You can evolve it to what's necessary, and since a lot of new development is trial and error, it can be really adaptable to try out.' AWS,, has taken a 'best fit engineering' approach, where it recommends a specific database service for a specific need. 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Another Azure Cosmos DB update, currently in preview, enables users to configure throughput directly on the database. Provisioning was previously limited to single Cosmos DB collection, graph or table, either accessed programmatically or via the Azure portal. Now throughput can be shared between data sets connected to a particular database, and that flexibility could benefit users who must better match their expenses to their architecture's requirements. They're definitely ahead of the curve in that sense.
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