Microsoft Azure

Optimize your costs by developing in the cloud.

5.0•43 reviews•

487 followers

Optimize your costs by developing in the cloud.

5.0•43 reviews•

487 followers

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Microsoft Azure Launches

Azure Communication ServicesCommunication APIs powered by Microsoft

Launched on September 22nd, 2020

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Launched on February 25th, 2019

Blockchain as a Service by MicrosoftDevelop, test, and deploy blockchain applications

Launched on September 3rd, 2017

Microsoft Azure Bot ServiceIntelligent, serverless bot service that scales on demand

Launched on November 16th, 2016

Azure - Machine LearningPowerful cloud-based predictive analytics, ML as a Service

Launched on July 14th, 2014

5.0

Based on 43 reviews

Review Microsoft Azure?

Reviewers offer a narrow but clearly positive take on Microsoft Azure: it meets core SaaS needs and is repeatedly praised for reliable, scalable infrastructure. Makers of Agnost AI say they have run on Azure since day one with heavy multi-region deployments, while the makers of NINA cite redundancy, resilience, high availability, and cost optimization. The makers of Fonda also credit Azure with supporting global scale for AI workloads. Weaknesses are barely discussed.

+41

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.