Microsoft Azure

Name: Microsoft Azure
Rating: 5.0 (44 reviews)

Optimize your costs by developing in the cloud.

5.0•44 reviews•

507 followers

Optimize your costs by developing in the cloud.

5.0•44 reviews•

507 followers

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Optimize your costs by developing in the cloud. Invent with purpose.

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Microsoft Azure Launches

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Launched on November 16th, 2016

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Launched on July 14th, 2014

5.0

Based on 44 reviews

Review Microsoft Azure?

Reviewers describe Microsoft Azure in narrow but consistently positive terms: it meets core SaaS needs and, in founder feedback, is used for stable infrastructure, API and database hosting, AI workloads, and multi-region or backup deployments. Makers of products like Agnost AI and NINA specifically point to redundancy, high availability, resilience, and cost optimization, while others cite secure, scalable uptime and support for services like inference, speech, and data processing. Direct criticism is largely absent.

+42

Summarized with AI

Pros

reliable cloud infrastructure (6)

advanced speech technology (4)

scalable AI integration (3)

built-in security features (2)

enterprise integration (2)

global data center distribution (2)

Microsoft for Startups program (2)

text-to-speech services (2)

Pros

Cons

Reviews

All Reviews

Most Informative

We Are Learning

•6 reviews

At "We Are Learning," Microsoft Azure serves as the linchpin of our hosting infrastructure, providing a robust, secure, and scalable environment for both our front-end and back-end services. Leveraging Azure's managed app services has allowed us to focus on feature development and innovation, rather than being bogged down by infrastructure management. The platform's built-in security features, including data encryption and Azure Active Directory, align well with our commitment to data protection and regulatory compliance. Its global reach and data center distribution have been invaluable in reducing latency, thereby enhancing user experience for our globally diverse customer base. Overall, Azure's comprehensive suite of cloud services has been pivotal in achieving operational excellence, enabling us to scale seamlessly across markets and industries.

What's great

reliable cloud infrastructure (6)managed app services (1)built-in security features (2)Azure Active Directory (1)global data center distribution (2)

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8 views3yr ago

used Microsoft Azure to build PureTalk.ai

•4 reviews

Microsoft Azure’s server power is extremely helpful for TTS training—providing on‑demand, pay‑as‑you‑go GPU clusters, end‑to‑end TTS services, and a mature MLops ecosystem. Whether you’re experimenting with a small custom voice or training a production‑scale neural TTS model, Azure’s flexible compute and integrated tooling can dramatically shorten your development cycle and improve model quality.

What's great

text-to-speech services (2)GPU clusters for TTS (1)mature MLops ecosystem (1)

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6 views1yr ago

used Microsoft Azure to build SimplAI

•3 reviews

Microsoft Azure stands out for its deep enterprise integration, especially for businesses already using Microsoft products. Its hybrid cloud capabilities are among the best, allowing seamless on-premise and cloud interoperability.