Imply, founded by the creators of Apache Druid, announced the availability of Imply Polaris on Microsoft Azure, a cloud database service that simplifies building real-time analytics applications. According to CEO FJ Yang, the platform meets the need for real-time data extensions in applications and offers flexibility across multiple cloud service providers. Polaris on Azure allows for improved application alignment and supports hybrid cloud strategies from a single platform.
Alistair Spears, senior director of product marketing at Microsoft, expressed enthusiasm for Imply Polaris joining the Azure ecosystem, enabling customers worldwide to develop real-time analytics applications on Microsoft Azure. Imply Polaris, a true database-as-a-service for Apache Druid, is popular among organizations like Confluent, Netflix, Target, and Salesforce for powering real-time analytics applications.
Developers opt for Apache Druid when dealing with terabytes to petabytes of data and hundreds to thousands of queries per second. Imply Polaris is chosen for its ability to accelerate time to market, enhance developer productivity, and reduce overall costs of running Druid. Csaba Kecskemeti, senior development manager at Zillow Group, commended Imply Polaris for its quick setup and ease of use, describing it as a data analytics framework that works in just five minutes.
Imply Polaris on Azure is now generally available, providing developers with a seamless experience for real-time analytics applications. For more information on Polaris on Azure, readers can refer to a dedicated blog post. Imply, with its cloud-native offering of Apache Druid, aims to empower developers as analytics heroes by delivering sub-second query performance on streaming and batch data at scale. Supported by investors like Thoma Bravo, a16z, and Bessemer Venture Partners, Imply is disrupting the database market with customers such as Atlassian, Reddit, and TrueCar.
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https://www.datanami.com/this-just-in/imply-launches-polaris-on-microsoft-azure-for-enhanced-real-time-analytics/
