--- title: Azure OpenAI Service Reviews meta_title: 'Azure OpenAI Service Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 59 reviews by the users' company size, role or industry to find out how Azure OpenAI Service works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 59 scale: '5' date_modified: '2026-07-13' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Azure OpenAI Service Reviews **Vendor:** Microsoft **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.6/5.0 **Total Reviews:** 59 ## About Azure OpenAI Service Azure OpenAI Service is a cloud-based platform that provides access to OpenAI's advanced artificial intelligence models, including GPT-3.5, Codex, and DALL·E 2. This service enables developers and businesses to integrate powerful AI capabilities into their applications, facilitating tasks such as natural language processing, code generation, and image creation. By leveraging Azure's enterprise-grade infrastructure, users benefit from enhanced security, compliance, and scalability, making it suitable for a wide range of industries and use cases. Key Features and Functionality: - Access to Advanced AI Models: Utilize state-of-the-art models like GPT-3.5 for natural language understanding, Codex for code generation, and DALL·E 2 for image creation. - Enterprise-Grade Security and Compliance: Benefit from Azure's robust security measures, ensuring data privacy and compliance with industry standards. - Scalability and Reliability: Deploy AI solutions at scale with high availability, leveraging Azure's global infrastructure. - Customization and Fine-Tuning: Tailor AI models to specific business needs through fine-tuning capabilities, enhancing performance for particular tasks. - Integrated Responsible AI Tools: Implement AI solutions responsibly with built-in tools designed to detect and mitigate harmful content, ensuring ethical AI usage. Primary Value and Solutions Provided: Azure OpenAI Service empowers organizations to accelerate innovation by integrating cutting-edge AI models into their products and services. It addresses challenges such as automating complex tasks, enhancing customer interactions through natural language understanding, and generating high-quality content efficiently. By providing a secure and scalable environment, the service enables businesses to harness the full potential of AI while maintaining control over their data and compliance requirements. ## Azure OpenAI Service Pros & Cons **What users like:** - Users appreciate the **ease of use** of Azure OpenAI Service, enjoying quick setup and smooth integration with Azure tools. (21 reviews) - Users value the **seamless integration** with Azure services, enhancing workflows and simplifying implementation of advanced AI capabilities. (18 reviews) - Users value the **high scalability** of Azure OpenAI Service, making seamless integration and deployment across enterprises effortless. (10 reviews) - Users appreciate the **reliability** of Azure OpenAI Service, ensuring smooth and secure AI deployment for everyday tasks. (9 reviews) - Users value the **enterprise-grade security** provided by Azure OpenAI Service, ensuring privacy and compliance for advanced AI capabilities. (8 reviews) - Users value the **easy setup** of Azure OpenAI Service, facilitating smooth deployment and fine-tuning of LLMs. (7 reviews) - Users appreciate the **deployment ease** of Azure OpenAI Service, noting the smooth UI and quick model availability. (6 reviews) - Implementation Ease (5 reviews) - Users value the **model variety** in Azure OpenAI Service, appreciating early access to diverse, advanced language models. (5 reviews) - Problem Solving (5 reviews) **What users dislike:** - Users find the **high costs** and pricing complexity of Azure OpenAI Service confusing and challenging to manage effectively. (14 reviews) - Users find the **complex setup** challenging, especially if they lack familiarity with the Azure ecosystem. (7 reviews) - Users are frustrated by the **limited features** of Azure OpenAI Service, especially regarding fine-tuning and model access. (5 reviews) - Users struggle with the **complexity** of Azure OpenAI Service, facing issues with rate limits and unclear pricing. (4 reviews) - Users find the **time consumption** in manual quota approvals frustrating, hindering efficient usage of Azure OpenAI Service. (4 reviews) - Complex Implementation (2 reviews) - Users find that the **expensive subscriptions** for newer Azure OpenAI Service models can be a barrier to access. (2 reviews) - Limited Options (2 reviews) - Poor Documentation (2 reviews) - Slow Speed (2 reviews) ## Azure OpenAI Service Reviews ### 1. Reliable AI Platform for Enterprise Automation and Productivity **Rating:** 4.5/5.0 stars **Reviewed by:** Mohit K. | Business Process Assistant, Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2026 **What do you like best about Azure OpenAI Service?** What I like most about Azure OpenAI Service is how easy it is to apply advanced AI capabilities to real business scenarios. The platform feels reliable and secure, and it integrates smoothly with other Azure services. It also saves time by automating tasks such as content generation, summarization, and data analysis. Another big plus for me is that it’s well suited for enterprise use, thanks to its strong security and compliance features. **What do you dislike about Azure OpenAI Service?** One thing I dislike about Azure OpenAI Service is that the initial setup and configuration can feel confusing for new users, particularly when it comes to managing Azure resources and permissions. The pricing model can also be hard to interpret for large-scale usage, and some advanced features require solid technical knowledge to implement correctly. Better documentation and a more streamlined onboarding experience would make the service much easier to adopt and even better overall. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service helps automate repetitive, time-consuming tasks like content creation, summarization, document analysis, and drafting customer support responses. It has boosted productivity by cutting down on manual effort and saving teams a lot of time. Its AI capabilities also make it easier to generate quicker insights from data, which improves overall efficiency in day-to-day operations. ### 2. Secure, Compliant Access to OpenAI Models with Seamless Microsoft Integration **Rating:** 5.0/5.0 stars **Reviewed by:** RaviShankar S. | Senior Enterprise Cloud Architect, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Azure OpenAI Service?** Through the Azure OpenAI service, Microsoft enterprise customers now access the OpenAI LLM models with stronger Data Privacy and appropriate security. It is fully compliant with major information security compliance frameworks like SOX,GDPR,HIPAA. Azure Open AI also can be integrated easily with major Microsoft products such as Microsoft Dynamics, O365, and Power BI. **What do you dislike about Azure OpenAI Service?** Microsoft Azure Billing for Open AI is bit complex and costly for medium size customers. And the Deployment team needs a formal Technical learning to fully utilize the feature. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure Open AI provides an opportunity to build customized AI agents that global companies’ internal functional teams need, with the right speed and an easy deployment process. ### 3. Safe, Reliable Access to State of the Art Models with Azure OpenAI Service **Rating:** 4.5/5.0 stars **Reviewed by:** Nijat I. | Full-stack Developer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 15, 2026 **What do you like best about Azure OpenAI Service?** I'm a Data Analyst at a medium-sized online store, and I mostly handle customer feedback from support tickets, surveys, and what people say about our stuff. Before Azure OpenAI, doing this was a real pain. I had to open tons of tickets in Zendesk, copy and paste everything into Excel, and try to sort things out myself. It would take forever, and I'd often miss stuff. What I really like about Azure OpenAI is that it sorts all this messy text into something I can use automatically. Every Monday, I grab the last week's support tickets (usually like 500–600 chats) and run them through a gpt-4o-mini thing that our IT folks set up for me. I send each ticket to the system with a simple instruction: Put this ticket into one of these groups: Billing, Shipping, Product Quality, Returns, or Other. Also, figure out if the customer is happy, okay, or mad, and write a quick summary of the problem. The result is a nice, clean file that I can just drop into Power BI. What used to take me 6–8 hours every Monday now takes about 20 minutes. I didn't even need to learn fancy coding — our team made this easy thing that connects Zendesk to Azure OpenAI and puts the results in a SharePoint list. I just open the list, hit refresh on my Power BI thing, and my report is ready for the meeting at 10 AM. It actually works with other Azure stuff; I don't have to be a tech expert to get something out of it. **What do you dislike about Azure OpenAI Service?** I'm a business user, not a techie, so my issues are all about using this stuff every day. First off, the rate limiting is a pain in the neck. We have 120,000 TPM (tokens per minute) for our gpt-4o-mini, which sounds like plenty. But when you're dealing with 500 tickets, and each has 800–1,500 words, you hit that limit fast. Then you get those 429 errors (Rate limit exceeded). When that happens, my Power Automate thing just stops working. I've got to wait a minute and start it up again myself. IT said I could do some kind of batching thing, but that's way too complicated for me. I just want it to work without getting into all that technical stuff. Second, the outputs are all over the place. Even with the temperature set to zero, the same ticket might be called Shipping one week and Delivery the next, even though I said Shipping is the right one. It makes it hard to track trends over time. Someone on Gartner Peer Insights nailed it, saying it has inconsistent behavior even with specific instructions and low temperature. Couldn't agree more. Third, it's hard to know how much this all costs if you're not a tech person. I don't see the Azure cost stuff; IT just tells me we're spending too much. I have no idea how many tokens I'm using for my weekly summaries, or if I could save money by using shorter tickets. There's no easy way for regular users to see how much they're using. I feel like I'm using this really powerful thing without knowing how much it's costing me. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Before Azure OpenAI, getting feedback from customers was a pain. It was slow, inconsistent, and our leaders couldn't see what was happening. Here’s what’s different now: 1. No More Guesswork, Just Data. Our customer service head would say, I think we're getting more shipping complaints. Now, I show her a Power BI chart. In January, shipping issues were 22% of all tickets. In February, they jumped to 31%. Not just a hunch a real problem! We pushed for a new shipping contract and saved around $15,000 on fast shipping during the spring sale. Plus, we made that decision two months faster than before. 2. From Procrastination to Automation. Mondays used to be awful. Now, I spend 20 minutes checking the flow, making sure Power BI is up-to-date, and sending the email. I’ve freed up about 200 hours each year. Now, I can actually investigate why satisfaction is down for certain products. I found out a shoe style had a 40% negative vibe because of sizing problems. This led to a product review and updated size charts. I got this info from digging into Azure OpenAI results, not just the summary. 3. From Data Dumps to Clear Stories. Our executives don't have time to read tons of tickets. They want to know: Are people happy? What’s wrong? What do we fix first? Azure OpenAI lets me sum up thousands of chats into three bullet points each week. I add real customer quotes that the system pulls out to show the main issue. This has changed how our product team decides what to fix. They used to listen to the loudest people on social media. Now, they listen to everyone who contacts support. Is it flawless? Of course not. It's annoying when the system messes up a ticket or the process fails because of limits. But for someone like me I know Excel and Power BI but I'm not a coder Azure OpenAI helps me find real answers instead of just making reports. That’s why I keep using it every week. ### 4. Easy Access to Multiple AI Models with Simple Metrics Tracking and Flexible Pricing **Rating:** 4.5/5.0 stars **Reviewed by:** Anup k. | Associate Cloud Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2026 **What do you like best about Azure OpenAI Service?** It is easy to access different AI models in one place and track the metrices. and cost with simple interface and pay-as-you-go pricing which i love most and it is flexible, scalable, and convenient to use. **What do you dislike about Azure OpenAI Service?** The main thing I dislike is the cost. For a small startup like us, it’s hard to justify, and running certain tests ends up being really expensive. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It is helping us predict CI/CD pipeline failures by analyzing YAML configuration files using GPT-4.6 before the pipelines are executed. This helps us identify potential issues early, reducing failed runs, saving execution time, and lowering computational costs. ### 5. A Powerful Partner: Where AI Meets Trust.” Simple and to the point! **Rating:** 5.0/5.0 stars **Reviewed by:** HARSH G. | Digital Marketing Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** May 26, 2026 **What do you like best about Azure OpenAI Service?** What I like most is how it brings together the best of both worlds: you get OpenAI’s cutting-edge AI models, along with Azure’s reliability, security, and scalability. It feels like having powerful AI right at your fingertips, backed by enterprise-grade peace of mind. **What do you dislike about Azure OpenAI Service?** If I had to pick something, I'd say that depending on Azure’s ecosystem might mean some complexity for folks who aren't already familiar with it. Also, for smaller, simpler projects, it might be more than you need—kind of like using a rocket when you just need a bicycle! **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI helps my business tremendously. It takes care of complex language tasks, allowing me to focus on strategic ideas. It saves time, ensures security, and lets us scale innovation quickly ### 6. Powerful, Secure AI That Integrates Seamlessly with Azure **Rating:** 4.5/5.0 stars **Reviewed by:** Pradeepa b. | Senior manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2026 **What do you like best about Azure OpenAI Service?** Azure open AI service offers Powerful AI Capabilities with enterprise grade security and service. It integrates seamlessly with the Microsoft azure ecosystem, making deployment and management efficient. This platform is highly effective for automation, content generation, analytics and improving business productivity **What do you dislike about Azure OpenAI Service?** Pricing and usage costs may become expensive for large scale or high-volume workloads. some advanced features and model access may require additional approvals or have regional availability limitations. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It Helps to automate the repetitive tasks such as content creation, customer communication and data summarization, reducing manual effort and time saving. It improves productivity by enabling decision making and streamlined workflows through AI powered insights and automation. ### 7. All-in-One AI Model Hub with Quick Integration, but Slower Responses **Rating:** 3.5/5.0 stars **Reviewed by:** Abhishek G. | Product Enginner, Small-Business (50 or fewer emp.) **Reviewed Date:** May 20, 2026 **What do you like best about Azure OpenAI Service?** Single place with most of the AI models for openai and other providers. Integration is also quick with api or sdk **What do you dislike about Azure OpenAI Service?** The models are slow to respond when compared with independent providers like openrouter **What problems is Azure OpenAI Service solving and how is that benefiting you?** I have been building custom B2B agents for mid/small firms. the experince as been great since it's a one stop shop to make agents, get models for inference, test and evaluate agent and so on ### 8. Secure and Powerful, Yet Needs Global Consistency **Rating:** 3.5/5.0 stars **Reviewed by:** Lakshay J. | Senior Engineer - Product Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about Azure OpenAI Service?** I like Azure OpenAI Service for its enterprise-grade security and the ability to keep data in my private Azure account. The seamless integration with Azure services, like AI search, is fantastic as it makes implementing RAG very straightforward. It allows us to ground AI responses in our own enterprise data using a low-code RAG pattern, ensuring that models provide accurate, context-aware answers using vector search combined with semantic ranking and built-in citation tracking. **What do you dislike about Azure OpenAI Service?** I don't like the regional availability of newer models and the rollout of features not being the same time globally. Also, the quota management system and its approval to increase quota is manual and can take several days. I wish Microsoft could add more granular cost control tools at model and project levels to prevent overcharges. Also, better debugging tools could be added. **What problems is Azure OpenAI Service solving and how is that benefiting you?** I use Azure OpenAI Service for integrating LLMs like GPT-4 into enterprise apps for auto content generation and data analysis. It eliminates infrastructure overhead while maintaining security and helps build scalable apps fast. ### 9. Streamlined API Documentation Automation with Security-Minded AI **Rating:** 4.5/5.0 stars **Reviewed by:** Nosheen K. | Data Analyst, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Azure OpenAI Service?** This has been most helpful for automating API documentation for our software modules and cutting down on manual overhead. I also appreciate that the AI tools analyze the code with security in mind. **What do you dislike about Azure OpenAI Service?** Sometimes during peak traffic, even when I haven’t reached the limit, it still shows “limit exceeded.” **What problems is Azure OpenAI Service solving and how is that benefiting you?** It helps a lot with generating code and training models securely. Its built-in security software automatically blocks harmful content and reduces the risk of security issues. ### 10. Perfect and Powerful Integration with Generative AI **Rating:** 4.0/5.0 stars **Reviewed by:** Lucas V. | IT Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** January 22, 2026 **What do you like best about Azure OpenAI Service?** What I like most about Azure OpenAI Service is the ease of integration with other Azure services that we already use. The security and regulatory compliance is excellent for business data. Also, access to the latest OpenAI models without having to wait on waitlists. And the ability to adjust parameters like temperature and maximum tokens gives us a lot of control over the responses. The documentation and code examples are very comprehensive, which makes implementation easier. I also like that we can use our own training data securely within the Azure environment. Microsoft's technical support has been quite helpful when we've had technical questions. **What do you dislike about Azure OpenAI Service?** The cost can be high when processing large volumes of tokens, especially with the more advanced models. Sometimes there is latency in responses during peak hours. The initial setup and permissions in Azure can be a bit complex for new users. It would also be useful to have more options for native Spanish models. **What problems is Azure OpenAI Service solving and how is that benefiting you?** I use Azure OpenAI Service to integrate generative AI into business applications, creating chatbots that speed up customer service and automating document analysis. It allows us to scale AI capabilities without maintaining our own infrastructure and reduces response times and manual document processing. ### 11. Effortless AI Integration with Seamless Azure Compatibility **Rating:** 4.5/5.0 stars **Reviewed by:** Chaitanya V. | Software Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Azure OpenAI Service?** I like how Azure OpenAI Service integrates very smoothly with other Azure services, making it easier for me to build end-to-end AI solutions. It also helps with data security because our data stays within our private Azure environment, which aligns with our strict enterprise rules and requirements. Setting it up was easy with clear instructions available. **What do you dislike about Azure OpenAI Service?** The one thing that I want to improve for Azure OpenAI Service is the fine-tuning options are restricted compared to other open source models, and there is limited control over training data. The current limitation is that fine-tuning is only available for select models and it does not accept all the latest GPT models. I would like to see fine-tuning for all major models and have the ability to control it. **What problems is Azure OpenAI Service solving and how is that benefiting you?** I use Azure OpenAI Service to analyze large data, getting business insights quickly. It integrates smoothly with other Azure services, enabling us to build secure, scalable applications and maintain data security within our private Azure environment. ### 12. Enterprise-Grade Security with Azure & Microsoft 365 Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Jerin C. | Human Resources Manager - Shriram Group, Mid-Market (51-1000 emp.) **Reviewed Date:** January 24, 2026 **What do you like best about Azure OpenAI Service?** The enterprise-grade security is the strongest aspect. Unlike other AI platforms, our data isn’t used to train public models, which is critical for meeting our compliance requirements. On top of that, the seamless integration with the existing Azure ecosystem and Microsoft 365 makes it much easier to scale across the company. **What do you dislike about Azure OpenAI Service?** The setup process is significantly more complex than the standard OpenAI API. It requires a solid understanding of Azure networking and security protocols. Additionally, the pricing can be a bit opaque and difficult to forecast for large-scale projects, and getting access to specific models can sometimes involve an approval waitlist. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It solves the challenge of implementing generative AI without compromising data privacy. We use it for high-volume tasks like drafting professional communications and summarizing internal reports. This has saved our team hours of manual work while ensuring that sensitive employee information stays within our private cloud environment. ### 13. Seamless Azure Integration, Scalable and Secure AI with Great SDKs **Rating:** 4.5/5.0 stars **Reviewed by:** Navdeep S. | Back-end Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 14, 2026 **What do you like best about Azure OpenAI Service?** The seamless integration with existing Azure resources is a huge plus. It feels natural to plug advanced AI models into my workflows without a complex setup. The service is highly scalable and secure, and it’s backed by Microsoft’s enterprise-grade infrastructure, which gives me confidence when deploying solutions in production. I also appreciate the flexibility: whether it’s text generation, summarization, or embedding models, the breadth of features covers most of my use cases. The documentation and SDKs make implementation straightforward, and being able to manage everything through the Azure Portal helps keep things organized and easy to maintain. **What do you dislike about Azure OpenAI Service?** Pricing can be a bit tricky to estimate, especially when usage spikes unexpectedly. The documentation is solid overall, but I’d like to see more in-depth advanced examples that help developers better optimize both performance and costs. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It helps automate repetitive tasks such as drafting content, summarizing long documents, and generating insights from unstructured data. That saves a significant amount of time and boosts productivity across teams. For customer-facing use cases, it supports smarter chatbots and knowledge assistants that feel more natural and genuinely helpful. Because the models are hosted within Azure, I don’t have to worry about building and maintaining my own infrastructure or handling sensitive data outside a trusted environment. Overall, it reduces manual effort, speeds up workflows, and lets us innovate faster while still staying compliant with enterprise standards. ### 14. Enterprise-Grade AI on Azure: Reliable, Secure, and Production-Ready **Rating:** 4.0/5.0 stars **Reviewed by:** Victor S. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 14, 2026 **What do you like best about Azure OpenAI Service?** What I appreciate most about Azure OpenAI Service is its enterprise‑grade reliability, security, and seamless integration with the broader Azure ecosystem. It lets me deploy advanced AI capabilities with confidence, because I know data governance, compliance, and scalability are handled to a world‑class standard. The mix of powerful models, flexible deployment options, and strong operational stability makes it a great fit for building real, production‑ready AI solutions. **What do you dislike about Azure OpenAI Service?** Overall, I value Azure OpenAI Service, but there are a few areas where it could be improved. The pricing structure can feel complicated, especially when trying to balance model performance with predictable costs at scale. Some of the newest model releases also seem to arrive later than on other platforms, which can slow down experimentation and iteration. In addition, certain configuration and deployment options feel more restrictive than I expected, which can reduce flexibility for more advanced use cases. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service helps address the challenge of bringing advanced AI capabilities into real production environments, with the reliability, governance, and security that enterprises require. It reduces the operational burden of managing infrastructure, compliance, and the model lifecycle, allowing me to focus on building solutions instead of maintaining systems. Because it integrates smoothly with the broader Azure ecosystem, it speeds up development, streamlines deployment, and helps ensure AI workloads meet strict data-handling and regulatory standards. That, in turn, supports faster experimentation, more scalable architectures, and a clearer path from prototype to production—ultimately improving productivity and opening up new opportunities for innovation. ### 15. Robust Data Infrastructure, But Costly and Complex **Rating:** 4.0/5.0 stars **Reviewed by:** Kundan K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2026 **What do you like best about Azure OpenAI Service?** I like Azure OpenAI Service for its data privacy and resiliency, which are crucial for my work. Its integration capabilities and performance are great, especially with scalability, which helps manage our enterprise-wide data infrastructure effectively. I also appreciate the improvement in data quality it provides. The dedicated GPU infrastructure adds to the reliability and performance, which I find valuable. **What do you dislike about Azure OpenAI Service?** The cost can become expensive, especially with extensive use of newer advanced models. The complexity of setup can be challenging if you're unfamiliar with the broader Azure ecosystem. Model access might not always offer the absolute latest models at the moment compared to direct API access. **What problems is Azure OpenAI Service solving and how is that benefiting you?** I use Azure OpenAI Service to build enterprise-wide data infrastructure with automatic scalability and strong data privacy. It integrates with other Azure services, streamlining data pipelines and applications, offering a secure and scalable platform for enterprise data leveraging. ### 16. Azure OpenAI: Seamless Integration with Existing Azure Services **Rating:** 4.5/5.0 stars **Reviewed by:** Sumeet V. | AI FULL STACK SOFTWARE ENGINEER, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 15, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI service is good for me because it gives me plenty of options to integrate with services already running in Azure. I use the Azure service in my current project, which is deployed on an Azure VM, so it’s easy to use and fits perfectly with my setup. **What do you dislike about Azure OpenAI Service?** Mostly, they have some limitations in model availability and in certain regions due to zone restrictions. Along with that, job tracking could be better, and the model also blocks some valid prompts because of the safety measures. **What problems is Azure OpenAI Service solving and how is that benefiting you?** For me, it helps me keep all related items and costs in one place, with Azure-level security and scalability. ### 17. Strong tool for access AI tool through an API for projects **Rating:** 5.0/5.0 stars **Reviewed by:** Byron C. | Manager, Enterprise (> 1000 emp.) **Reviewed Date:** January 16, 2026 **What do you like best about Azure OpenAI Service?** It’s an effective, straightforward way to make requests to OpenAI offerings. Developers and employees can easily send requests and use ChatGpt in their projects. Setting up the API is simple as well, which makes it quick to get started. For example one of the projects we used it for was to create a tool that would parse documents and extract key information. The tool would access OpenAI through Azure API. **What do you dislike about Azure OpenAI Service?** The only thing I dislike is it is difficult to access and retrieve specific historical requests / chats in an organized manner. **What problems is Azure OpenAI Service solving and how is that benefiting you?** With AI becoming so prevelant, there is a need to ensure it is access to everyone because they are integrating it in their projects now. Azure allows the team to access AI tools through an API to work on projects. The integration is seamless. ### 18. Azure: Trusted, Compliant Infrastructure with Easy Scaling and Seamless Ecosystem Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Subrajit B. | Deputy Manager, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 21, 2026 **What do you like best about Azure OpenAI Service?** Below are some points I like about Azure . Built on Azure’s trusted infrastructure, with strict compliance certifications (ISO, SOC, HIPAA, GDPR). You can scale from small experiments to production workloads without worrying about infrastructure. Smoothly Integrate with Azure Ecosystem . **What do you dislike about Azure OpenAI Service?** Below some points I dont like about it . Running Large model can get expensive quickly . Not every Azure region support openAI . **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service addresses key challenges in enterprise AI adoption—scalability, integration, and security—helping us automate workflows, improve customer experiences, and accelerate innovation, all while remaining compliant with corporate identity and data policies. ### 19. Enterprise-Grade, Secure, and Scalable AI with Azure OpenAI Service **Rating:** 5.0/5.0 stars **Reviewed by:** Dev B. | SAS programmer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 16, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI Service provides enterprise-grade access to powerful AI models, enabling secure, scalable, and customizable AI solutions for content generation, analysis, coding, and conversational applications. It supports a range of use cases while helping organizations build and deploy AI capabilities in a way that aligns with enterprise needs. **What do you dislike about Azure OpenAI Service?** The UI is a little complex for beginners. Apart from that, I haven’t found anything to dislike so far. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI’s models (GPT-3.5, GPT-4, GPT-4o, GPT-4 Turbo) help automate content generation and summarization, which reduces manual effort and improves consistency. In contrast, traditional support often involves long wait times and repetitive queries, with information scattered across multiple systems, making it harder to find what you need quickly. ### 20. Azure OpenAI Makes Model Deployment and Management Effortless **Rating:** 5.0/5.0 stars **Reviewed by:** Himanshu S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 19, 2026 **What do you like best about Azure OpenAI Service?** I like how easy it is to deploy and manage models with Azure OpenAI. The role-based access controls, resource management, and monitoring tools make it much simpler to operationalize AI, especially compared to using standalone APIs. **What do you dislike about Azure OpenAI Service?** Quota limits and pricing can be difficult to predict, especially as usage scales up. It takes careful monitoring to avoid unexpected throttling or sudden cost spikes, and to keep usage within the expected limits. **What problems is Azure OpenAI Service solving and how is that benefiting you?** One of the biggest problems it solves is enabling us to use generative AI in a secure, compliant way. Because the data stays within Azure boundaries and aligns with enterprise compliance standards, we can use AI with more confidence when managing sensitive data. ### 21. Fast, Reliable, and Secure AI for Real Business Impact **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** January 14, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI Service delivers generative AI with the security, privacy, and compliance guarantees of the Azure platform. It also integrates smoothly with other Azure services, which makes it easier to build enterprise‑grade solutions for content generation, summarization, code assistance, and semantic search. For me, its biggest strength is how it pairs advanced AI models with strong governance, along with safe, controlled handling of data. **What do you dislike about Azure OpenAI Service?** Azure OpenAI’s main drawbacks are its strict rate limits, higher cost, and tighter content filtering. I also find it slightly less responsive than OpenAI’s direct API. Region availability and pricing clarity can be occasional pain points as well. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI helps address slow, manual knowledge work by automating tasks such as summarization, content generation, and conversational search. It also makes it easier to access internal information that’s scattered across different places by using AI agents grounded in enterprise data. Overall, this leads to faster work, less effort, and more consistent answers across teams. ### 22. Seamless Integration and Early Access to AI Models **Rating:** 5.0/5.0 stars **Reviewed by:** Himanshu J. | Founder, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** I've been using azure open ai service for more than 1 and half years. I find it easier to use as it's integrated within the Azure ecosystem and finding every open ai model before everyone feels bliss as it helps me develope better application before everyone and customer care is so good **What do you dislike about Azure OpenAI Service?** I've had no complaints yet so it's best. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It has helped me develop faster as it's one stop solution for developers. ### 23. Easy to use and great for everyday AI task **Rating:** 4.5/5.0 stars **Reviewed by:** Ganavi K. | Online Marketing Executive, Small-Business (50 or fewer emp.) **Reviewed Date:** February 04, 2026 **What do you like best about Azure OpenAI Service?** Azure openAI is really easy to use, and getting started doesn't take a much time. implementation is smooth. bcz the documentation is beginner friendly. it integrates well with Azure tools. which makes the workflow feel natural. overall it has a solid features and work reliably for everyday work. i use it often. i haven't faced issue that required a heavy assistance. **What do you dislike about Azure OpenAI Service?** Some features required a extra approval, and the pricing feel a bit confusing at first. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It helps me to generate a ideas and automate a small task quickly. saving time and making my workflow smoothr. ### 24. Easy Azure OpenAI Deployment with Simple Endpoint & API Key Integration **Rating:** 5.0/5.0 stars **Reviewed by:** KharanKumar R. | Data Analyst, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** January 14, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI Service helps to deploy model very easily and with their endpoint and api keys we can easily integrate with our AI model to work **What do you dislike about Azure OpenAI Service?** Some times more traffic is their in specific region so facing slowness in output. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service is solving problem by best performance with output accuracy combined. It is benefitting to build model very easily with updated libraries and langchain ### 25. Seamless Workflow Orchestration with Azure Foundry Agent Services **Rating:** 5.0/5.0 stars **Reviewed by:** Awadhesh P. | Solution Architect - Data & AI, Enterprise (> 1000 emp.) **Reviewed Date:** January 08, 2026 **What do you like best about Azure OpenAI Service?** Azure Foundry agent services and the agent framework work together to seamlessly orchestrate the entire workflow. **What do you dislike about Azure OpenAI Service?** There isn't much to highlight apart from the governance features and the observability provided by Azure Monitor. **What problems is Azure OpenAI Service solving and how is that benefiting you?** As a Data & AI Solution Architect, I frequently use this tool in recent Gen-AI projects on Azure for different clients. In one of my latest projects, we leveraged Azure Open AI LLM, including Foundry services, to add an explainability layer to the existing machine learning model recommendations and predictions for a major bank in Qatar to enable their Relationship managers. ### 26. Powerful AI with Seamless Azure Integration and Enterprise-Grade Security **Rating:** 5.0/5.0 stars **Reviewed by:** Amol G. | Lead consultant, Enterprise (> 1000 emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI Service offers powerful AI models with enterprise-level security, scalability, and seamless integration into the Azure ecosystem. It’s reliable, easy to deploy, and well-suited for production and compliance-focused environments. **What do you dislike about Azure OpenAI Service?** The approval process and regional availability can be restrictive, and pricing can become high at scale. Documentation is improving but still lacks clarity for some advanced or real-world use cases. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service simplifies deploying secure, enterprise-ready AI by handling infrastructure, compliance, and scaling. This saves time, reduces operational complexity, and allows faster development of reliable AI-powered applications. ### 27. Seamless Azure Private Network GPT Integration **Rating:** 4.5/5.0 stars **Reviewed by:** PRANSHU R. | Associate Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 16, 2026 **What do you like best about Azure OpenAI Service?** We can use gpt models with our data in Azure's private network. The integration is done well with other azure resources and things like billing and identity management are also done in a much easier manner than otherwise **What do you dislike about Azure OpenAI Service?** This does tend to sometimes flag legitimate business prompts as violations. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It is useful in integrating advanced GPT models with out workflow with security measures and therefore it hides our sensitive data to public models. It helps us to deploy new features more quickly and securely ### 28. Azure OpenAI Service – Powering Generative AI with Trust **Rating:** 5.0/5.0 stars **Reviewed by:** saleem s. | Customer support excutive, Mid-Market (51-1000 emp.) **Reviewed Date:** January 15, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI Service stands out because it delivers powerful generative AI with the security, compliance, and integration required for enterprise-level applications. **What do you dislike about Azure OpenAI Service?** I don’t see major downsides—most constraints are purposeful and help maintain security, governance, and stability at scale. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service solves the challenge of using powerful AI in a secure and compliant way. It ensures data privacy and enterprise-grade governance while enabling advanced AI capabilities. This helps me build scalable, production-ready solutions faster. It also reduces development effort through seamless Azure integration. ### 29. Powerful OpenAI Models with Azure Enterprise Security and Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Ekta B. | Service Desk Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** January 19, 2026 **What do you like best about Azure OpenAI Service?** It combines the power of OpenAI models with Azure's enterprise-grade security, compliance, and scalability. It allows organizations to use advanced AI capabilities while keeping the data private, governed, and integrated seamlessly with existing Azure services **What do you dislike about Azure OpenAI Service?** One limitation of Azure OpenAI service is hat access and model availability can sometimes be restrictive compared to openAI's public **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI service solves the challenge of using advanced AI models in enterprise environments where data security . compliance, and scalability are critical ### 30. Boosts Productivity with Seamless Microsoft 365 Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Sumarie N. | Author | Freelancer , Writing and Editing, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** Azure OpenAI offers multiple AI platforms that integrate directly with Microsoft 365, providing numerous productivity advantages. **What do you dislike about Azure OpenAI Service?** In my region I experience limited use. Additionally, Azure OpenAI imposes limits on tokens and requests per minute, with a cap of 10,000 files, making it impractical for handling large-scale projects. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It eases the stress on customer service automation, content generation, and document analysis. ### 31. Seamless Azure Integration and Enterprise-Ready AI Deployment **Rating:** 4.5/5.0 stars **Reviewed by:** Nour A. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about Azure OpenAI Service?** I like the seamless integration with Azure services, strong security/compliance, and the ability to deploy powerful AI models within an enterprise-ready environment. **What do you dislike about Azure OpenAI Service?** Pricing can be high at scale, and the approval and quota process can slow down initial experimentation. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It helps automate content generation, code assistance, and data analysis, which improves productivity and speeds up development cycles. ### 32. Effortless Setup with Seamless Azure Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Mid-Market (51-1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about Azure OpenAI Service?** I really like how easy to use the Azure OpenAI Service is and how well it's integrated with all other Azure services. It's so intuitive, which makes setting up things like Azure functions or Azure Logic Apps really straightforward. I can quickly select the OpenAI service and start using it, and there are also helpful materials provided by Azure that assisted us. I appreciate that it's just very easy to work with. **What do you dislike about Azure OpenAI Service?** Content filtering is somewhat aggressive **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service takes care of using LLM for our scenario. ### 33. User-Friendly and Fast with Easy Setup **Rating:** 5.0/5.0 stars **Reviewed by:** Debaleena B. | Technical Architect **Reviewed Date:** January 20, 2026 **What do you like best about Azure OpenAI Service?** I like the user-friendliness of Azure OpenAI Service, which makes it a pleasure to work with. I also appreciate the fast response times, which help me get work done efficiently. The initial setup was very easy, saving me time and hassle. **What do you dislike about Azure OpenAI Service?** Need more options **What problems is Azure OpenAI Service solving and how is that benefiting you?** I use Azure OpenAI Service for automation, making reconciliation faster and more efficient, thanks to its user-friendly interface and fast response times. ### 34. Straightforward SDKs That Make Integration Simple **Rating:** 5.0/5.0 stars **Reviewed by:** Melcom S. | Software Development Manager, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** The provided SDKs made it straightforward and simple to integrate into my applications. **What do you dislike about Azure OpenAI Service?** The cost is definitely higher than going directly through OpenAI. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It offers seamless integration with a range of AI models. We used it to deliver automated translation and summarization tools, which made it easier to incorporate these capabilities into our workflow. ### 35. Seamless Connectivity to the Azure Ecosystem **Rating:** 4.5/5.0 stars **Reviewed by:** Ashrith S. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** January 19, 2026 **What do you like best about Azure OpenAI Service?** Ease of connectivity to the Azure eco system. **What do you dislike about Azure OpenAI Service?** Cant use other LLM services like Gemini or Anthropic **What problems is Azure OpenAI Service solving and how is that benefiting you?** Its cheaper and easier to setup a new agent. I can also connect with the fabric and Sharepoint. If most of the documents are in Sharepoint - Azure AI search ### 36. Enterprise-Ready Security and AI Tools You Can Trust **Rating:** 4.0/5.0 stars **Reviewed by:** arnab s. | Technical Support Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** January 20, 2026 **What do you like best about Azure OpenAI Service?** security of the software and AI tools can be user in enterprise without any doubt **What do you dislike about Azure OpenAI Service?** costly as compared to other ai services and the setup takes a while **What problems is Azure OpenAI Service solving and how is that benefiting you?** data security, simplicity of daily tasks ### 37. Seamless Access to OpenAI Models in One Place **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** I appreciate how convenient it is to access OpenAI models directly and natively within my cloud solution, all in one place. **What do you dislike about Azure OpenAI Service?** This isn't a comment directed solely at Azure, but in general, I find the rate limits and the context window restrictions of LLM models to be frustrating aspects of AI services overall. **What problems is Azure OpenAI Service solving and how is that benefiting you?** This tool has been instrumental in utilizing LLM models for business solutions, effectively addressing and resolving numerous challenges. ### 38. Powerful GPT-4 with Azure-Grade Security, Privacy, and Compliance **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya M. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2026 **What do you like best about Azure OpenAI Service?** It's powerful open AI models gpt-4 also it is integrated with azure security,data privacy and compliance. **What do you dislike about Azure OpenAI Service?** Strict content filters which blocks legitimate prompts **What problems is Azure OpenAI Service solving and how is that benefiting you?** Inefficient customer support, difficulty to extract insights from vast data ### 39. Enterprise-Grade Security and Seamless Microsoft Ecosystem Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Kashish S. | Payroll Associate, Enterprise (> 1000 emp.) **Reviewed Date:** January 14, 2026 **What do you like best about Azure OpenAI Service?** Enterprise-Grade Security & Data Privacy Integration with Microsoft Ecosystem **What do you dislike about Azure OpenAI Service?** Pricing Complexity & Higher Costs Delayed Model Updates **What problems is Azure OpenAI Service solving and how is that benefiting you?** Scalability for Large Workloads Availability & SLA Guarantees ### 40. Granular Model Deployment Selection & Access Control—Ideal for Regulated Systems **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** January 22, 2026 **What do you like best about Azure OpenAI Service?** The ability to choose specific model deployments and control access is also a big advantage for regulated or large-scale systems. **What do you dislike about Azure OpenAI Service?** The onboarding and approval process can feel slow and complex compared to public OpenAI APIs. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service solves the problem of safely bringing powerful generative AI into enterprise and production workloads. ### 41. Customisable openAI services **Rating:** 5.0/5.0 stars **Reviewed by:** St Paul, MN U. | Champion and director, Small-Business (50 or fewer emp.) **Reviewed Date:** June 22, 2025 **What do you like best about Azure OpenAI Service?** Azure openAI services provide most of the openAI services with a direct integration with Azure services, at a cost effective pricing model as compared to openAI API integration and an openAI subscription. **What do you dislike about Azure OpenAI Service?** Most text to video and video processing services are lagging compared to an openAI subscription. **What problems is Azure OpenAI Service solving and how is that benefiting you?** RavaTTT is a new language developed with Azure openAI services rather than compiler based. ### 42. Useful and cost effective service offered by Microsoft **Rating:** 4.0/5.0 stars **Reviewed by:** Raman M. | SDE, Enterprise (> 1000 emp.) **Reviewed Date:** January 28, 2025 **What do you like best about Azure OpenAI Service?** It has a very good documentation and is useful for the policy bot usecase which the team is working on. **What do you dislike about Azure OpenAI Service?** One of the key issue with Auzre OpenAI is that currently it only supports limited regions and the pricing is less transparent and the overall community supoort needs to be improved **What problems is Azure OpenAI Service solving and how is that benefiting you?** We are trying to build a policy bot regarding goverance with the help of Azure OpenAI Service. We can easily test the results by using multiple model it offers ### 43. Best OpenAI API & deployment provider for Enterprise **Rating:** 5.0/5.0 stars **Reviewed by:** Nirav V. | Assistant Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** February 06, 2025 **What do you like best about Azure OpenAI Service?** - Serverless mode - Pay for used tokens only - Custom Endpoint - Fine tuning **What do you dislike about Azure OpenAI Service?** - Tracking is bit complex - For every task need approval, and it take a lot of time **What problems is Azure OpenAI Service solving and how is that benefiting you?** We are bulding AI based social engagement platform, Azure OpenAI is very helpful to train our system at best pricing and uptime, along with enterprise level features. ### 44. Review regarding integration of LangChain with AzureOpenAI services **Rating:** 5.0/5.0 stars **Reviewed by:** Dwaipayan B. | Associate Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** November 23, 2024 **What do you like best about Azure OpenAI Service?** Most of the new Large Language Models from OpenAI are available pretty early to use, the UI is smooth, it is easier to fine tune or deploy LLMs in the portal. **What do you dislike about Azure OpenAI Service?** The newer the model becomes, the costlier it gets. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It is making easy to implement Large Language Model related use cases without thinking much about other things, also as I said eariler that the new models are easily available to use and sometimes it is available before it is publicly released as OpenAI is part of Microsoft. ### 45. A well built AI tool **Rating:** 4.0/5.0 stars **Reviewed by:** Avinash S. | Sales SDR, Mid-Market (51-1000 emp.) **Reviewed Date:** May 23, 2024 **What do you like best about Azure OpenAI Service?** The ability to utilise chat GPT, including the GPT-4 would be the best experience for me. This is extremely useful in most of your day to day usecases and can help you in modulating your messages to a very well written paragraph. It's also pretty simple to use and has a extremely low learning curve as such. **What do you dislike about Azure OpenAI Service?** The one downside I would have to say about Azure OpenAI services would be the pricing. It's a bit expensive for individuals to purchase and the avaliability of feautres after purchasing is very vast and it would be better if they can have some of them in the free plan as well. **What problems is Azure OpenAI Service solving and how is that benefiting you?** I mainly used Azure OpenAI in creating presentations for onboarding clients. After letting the model know about their usecases and what we provide, it helps me in creating an extremely proficient and personalised onboarding plan for them which I can create into a presentation. ### 46. "Azure OpenAI Service: Powerful AI Capabilities in the Cloud" **Rating:** 5.0/5.0 stars **Reviewed by:** Akshat K. | GET, Cloud Security, Enterprise (> 1000 emp.) **Reviewed Date:** August 08, 2024 **What do you like best about Azure OpenAI Service?** I like that Azure OpenAI Service offers seamless integration with Microsoft’s cloud infrastructure, providing access to advanced AI models with robust scalability and security. **What do you dislike about Azure OpenAI Service?** I dislike that Azure OpenAI Service can be complex to set up and manage, and its pricing can be high for extensive usage. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Azure OpenAI Service solves the challenge of integrating advanced AI models into applications by providing easy access to powerful tools like GPT-4. This benefits me by enabling the development of sophisticated AI-driven features with scalable infrastructure and robust security, streamlining complex tasks and enhancing productivity. ### 47. Nearly same experience as the official OpenAI **Rating:** 5.0/5.0 stars **Reviewed by:** Gab K. | Senior Lead Engineer, Insurance, Mid-Market (51-1000 emp.) **Reviewed Date:** May 15, 2024 **What do you like best about Azure OpenAI Service?** Features are catching up fast with the officiL OpenAI one, it's especially usable for countries where OpenAI do not officially support now. **What do you dislike about Azure OpenAI Service?** Some models are only available in certain regions, that makes the management difficult if you need multiple and end up having multiple regions configured. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It's providing latest cutting edge LLM tools for you to work on a lot of projects. ### 48. Microsoft azure open ai services **Rating:** 4.0/5.0 stars **Reviewed by:** Vignesh K. | Manager of operations, Mid-Market (51-1000 emp.) **Reviewed Date:** May 27, 2024 **What do you like best about Azure OpenAI Service?** It gives a high level of satisfaction with the service but leaves much for improvement. Overall, its a positive experience with Azure OpenAI Service. **What do you dislike about Azure OpenAI Service?** I actually feel it's functionality is highly tough to understand in the beginning and takes time to get used to it. **What problems is Azure OpenAI Service solving and how is that benefiting you?** It solves various problems related to nlp, including text generation, translation, sentiment analysis, and many more. Improved efficiency in handling large datas of text data, automation of repetitive tasks, enhanced customer interactions through chatbots, & betters the decision-making through insights. ### 49. Azure OpenAI **Rating:** 5.0/5.0 stars **Reviewed by:** Utkarsh G. | Associate Cloud Infra & DevOps Engineer , Enterprise (> 1000 emp.) **Reviewed Date:** May 07, 2024 **What do you like best about Azure OpenAI Service?** We can directly use any gpt models even the latest one and integrate them in our applications. It helped me very much in my LLMOps POC. **What do you dislike about Azure OpenAI Service?** No dislikes as of now since the cost of per answer is also very cheap. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Mainly helped us in deploying LLM models using custom prompt flows on azure. ### 50. Good for using the OpenAI service but without privacy issues **Rating:** 4.0/5.0 stars **Reviewed by:** Rafael M. | Platform Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 17, 2024 **What do you like best about Azure OpenAI Service?** It doesn't collect the information that the original vendor based OpenAI does, so you can get more assurance that your Data is safe, and while competitors such as Anthropic offer safer alternatives, they are not available in Europe or can recognize images get. Functionality that Azure OpenAI does have. **What do you dislike about Azure OpenAI Service?** It is not a seamless transition from public OpenAI to Microsoft's solution and you may need to review certain application logic belonging to authentication and api requests. **What problems is Azure OpenAI Service solving and how is that benefiting you?** Customer Service Ticket priority analysis and allocation - [View Azure OpenAI Service pricing details and edition comparison](https://www.g2.com/products/azure-openai-service/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-16+13%3A41%3A00+-0500&secure%5Bsession_id%5D=bc2094b0-497b-442a-b4f7-47a51d8025e2&secure%5Btoken%5D=f74481cc2dfa2c4bb6191f7bf1c0776ffb32c6321eacaf4896a0bc953013aecf&format=llm_user) ## Azure OpenAI Service Integrations - [Attio](https://www.g2.com/products/attio/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Azure Functions](https://www.g2.com/products/azure-functions/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [Jenkins](https://www.g2.com/products/jenkins/reviews) - [LangChain](https://www.g2.com/products/langchain-langchain/reviews) - [Microsoft Azure Cosmos DB](https://www.g2.com/products/microsoft-azure-cosmos-db/reviews) - [Microsoft Outlook](https://www.g2.com/products/microsoft-outlook/reviews) - [Microsoft Power Automate](https://www.g2.com/products/microsoft-power-automate/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Slack](https://www.g2.com/products/slack/reviews) ## Azure OpenAI Service Features **Integration - Machine Learning** - Integration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm ## Top Azure OpenAI Service Alternatives - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (653 reviews) - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - 4.4/5.0 (134 reviews) - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (769 reviews)