In the last couple of weeks we saw the fight heating up between Google and Amazon over big data in the cloud. Now Microsoft is calling the bet, announcing the general availability of its Azure Stream Analytics (ASA). The new cloud service, which was launched in public preview late last year, enables real-time stream processing of data from various sources, such as applications, devices, sensors, mobile phones or connected cars. In fact, Microsoft places strong emphasis on the use cases of the Internet of Things, a hot topic these days which Microsoft pioneered back in the 1990 but somehow managed to miss the wave, and is now trying to get back on it.
Microsoft puts emphasis, same as its competitors, on making its stream analytics service easy for development and operations, so small companies and even start-ups can get into this hot field without massive up-front investment. That while leveraging the power of the cloud to ensure transparent resilience and scalability, security and multi-tenancy.
Another interesting aspect is the built-in integration of Azure Stream Analytics with Microsoft’s Event Hubs, Microsoft’s Publish-Subscribe messaging service, which was made generally availability late last year, and is said to be able to log millions of events per second. Microsoft also targets this service for Internet of Things and telemetry ingestion use cases. This part of Microsoft’s offering is similar to Google’s Pub/Sub and Amazon’s Kinesis.
In a blog post by Joseph Sirosh, Corporate Vice President of Information Management & Machine Learning at Microsoft, he shares customer use cases by Fujitsu, NEC and Aerocrine. Quoting Allen Ganz, Director of Business Development at NEC:
NEC has found that using the Azure IoT Services has enabled us to quickly build compelling intelligent digital signage solutions that meet our customer’s needs and help them transform their business processes
Microsoft, same as its competitors, is aiming at providing a full and organic suite to cover the full cycle of big data ingestion, processing and analytics, to cater for the proliferation of big data use cases and ventures, and especially around the Internet of Things.
You can read more on the new Azure Stream Analytics here.
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