Microsoft Azure

Name: Microsoft Azure
Rating: 5.0 (44 reviews)

Optimize your costs by developing in the cloud.

5.0•44 reviews•

502 followers

Optimize your costs by developing in the cloud.

5.0•44 reviews•

502 followers

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5.0

Based on 44 reviews

Review Microsoft Azure?

Reviewers are uniformly positive, though the feedback is sparse and mostly from founders rather than end users. They describe Azure as reliable, scalable infrastructure for APIs, databases, AI inference, and multi-region deployments, with recurring praise for high availability, redundancy, security, and support for global growth. Makers of products like Agnost AI, Fonda, and NINA specifically cite resilience, cost optimization, and dependable scaling, while one user simply says it fits their SaaS needs well.

+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 StillTalk

•3 reviews

Azure Speech gives StillTalk its voices and the viseme timing data our engine compiles into movement. Six languages with consistent quality, and a free tier that lets us open live typing to everyone on launch day.