Microsoft Azure

Optimize your costs by developing in the cloud.

5.0•36 reviews•

368 followers

Optimize your costs by developing in the cloud.

5.0•36 reviews•

368 followers

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Cloud Computing Platforms

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

Wispr Flow: Dictation That Works EverywhereStop typing. Start speaking. 4x faster.

Productivity•Artificial Intelligence•Audio

4.7(69 reviews)

Microsoft Azure Launches

Azure Communication ServicesCommunication APIs powered by Microsoft

Launched on September 22nd, 2020

Azure Kinect Developer KitThe new kinect, a peripheral with complex AI sensors

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 36 reviews

Review Microsoft Azure?

Reviewers describe Microsoft Azure in narrowly positive terms: the lone user says it fits a SaaS product’s needs, while a few founders add specific reasons for choosing it. The makers of Anamap cite enterprise-grade reliability, API management, and scaling for always-on AI services; the makers of Espa mention Azure OpenAI with zero data retention; and the makers of Normain praise Microsoft’s team as world class, while hinting the platform itself can invite criticism. Overall, feedback centers on solid infrastructure and support rather than broad user commentary.

+34

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 views2yr 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 Espa

•5 reviews

We use Microsoft Azure OpenAI service for data processing with Zero Data Retention.

Alternatives Considered

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3d ago