

Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Cohere's Embed English model took less time to embed than OpenAI's embedding ada-002 model.
Cohere helped us with all three aspects: money is saved, time is saved, and we needed fewer resources to meet our end goals.
It is important for organizations like Microsoft to apply OpenAI solutions within their own structures.
If the initial support personnel cannot resolve a query, it escalates to someone with more expertise.
The scalability depends on whether the application is multimodal or uses a single model.
The API works fine, allowing me to scale indefinitely.
We don't observe many scaling problems because it's an enterprise application.
Overall, it is acceptable, but the major issue we currently face in this project is the hallucination problem.
The solution works fine, particularly for enterprises or even some small enterprises.
We haven't had any issues to escalate to Cohere's support because reranking is an optional feature in our product, and we haven't seen any significant issues so far.
They should consider bringing non-OpenAI models also into their fold, just as AWS Bedrock, which provides its own models and models from other commercial providers through the Bedrock service.
Expanding token limitations for scaling while ensuring concurrent user access is crucial.
Azure needs to work on its own model development and improve the integration of voice-to-text services.
We want such features because when chatting with clients, we can demonstrate that employing Cohere's reranking model significantly improves results compared to not using it.
Because it does not have extensive understanding of Oracle functionalities in ERP, it sometimes gives wrong results or the confidence score is lower than desired.
During the embedding process, measurable metrics are not visible.
The pricing is very good for handling various kinds of jobs.
Recent iterations have increased token allowances, mitigating some challenges associated with concurrent user access at scale.
My experience with pricing, setup cost, and licensing is that it is expensive to use all Oracle services.
Cohere's pricing, setup cost, and licensing are better.
The prices are competitive compared to competitors.
OpenAI models help me create predictive analysis products and chat applications, enabling me to automate tasks and reduce the workforce needed for repetitive work, thereby streamlining operations.
The most valuable features are Azure AI Foundry; we use Azure AI Foundry to deploy various Azure OpenAI agents within Azure, such as Assistant, Azure OpenAI Assistant using Azure AI Foundry.
This makes it very easy to find and use the catalog to determine whether existing functionality is already implemented, preventing redundant implementations.
Cohere has positively impacted my organization by helping our customers work more efficiently when creating requests, and the embedding results are of very high quality.
I noticed a 10% improvement in my log system after using Cohere.
| Product | Market Share (%) |
|---|---|
| Azure OpenAI | 6.5% |
| Cohere | 1.3% |
| Other | 92.2% |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 1 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
Azure OpenAI integrates advanced language models with robust security for precise information extraction and task automation. Its seamless Azure integration and drag-and-drop interface simplify implementation and enhance accessibility.
Azure OpenAI offers a comprehensive suite of features designed for efficient data processing and task automation. It provides high precision in extracting information and strong conversational capabilities, crucial for developing chatbots and customer support systems. Its integration with Azure ensures seamless data handling and security, addressing key enterprise requirements. Users can employ its versatile GPT models for diverse applications such as predictive analytics, summarizing large documents, and competitive benchmarking. Despite its strengths, it faces challenges like latency, inadequate regional support, and limited integration of new technologies. Improvements in model fine-tuning and more flexible configuration are desired by users.
What features make Azure OpenAI a reliable choice?Azure OpenAI is implemented across industries like healthcare, finance, and education for tasks like invoice processing, digitalizing records, and language translation. It enhances policy management, document assimilation, and customer support with predictive analytics and keyword extraction. Organizations in such sectors benefit from streamlined workflows and task automation.
Cohere provides a robust language AI platform designed for efficient implementation in various domains, offering advanced features for automation and data analysis.
Cohere delivers a scalable AI language model that facilitates automation in data-driven environments. Highly adaptable to industry-specific requirements, it supports tasks such as text generation, summarization, and anomaly detection. This flexibility, along with its integration capabilities, makes it valuable for tech-savvy users seeking seamless AI solutions.
What are the notable features of Cohere?
What benefits should users consider in reviews?
Cohere sees significant use in finance, healthcare, and marketing, enabling precise data analysis and strategic insights. In finance, it assists with detecting market trends, while in healthcare, it supports clinical documentation and research analysis. Marketing uses include content creation and consumer sentiment analysis.
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