Best AI Development Platforms for Azure SQL Database
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Compare the Top AI Development Platforms that integrate with Azure SQL Database as of July 2025
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This a list of AI Development platforms that integrate with Azure SQL Database. Use the filters on the left to add additional filters for products that have integrations with Azure SQL Database. View the products that work with Azure SQL Database in the table below.
What are AI Development Platforms for Azure SQL Database?
AI development platforms are tools that enable developers to build, manage, and deploy AI applications. These platforms provide the necessary infrastructure for the development of AI models, such as access to data sets and computing resources. They can also help facilitate the integration of data sources or be used to create workflows for managing machine learning algorithms. Finally, these platforms provide an environment for deploying models into production systems so they can be used by end users. Compare and read user reviews of the best AI Development platforms for Azure SQL Database currently available using the table below. This list is updated regularly.
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Appsmith
Appsmith
Appsmith is an open-source low-code platform designed to help businesses rapidly build custom internal tools and applications. With a drag-and-drop interface and extensive integration capabilities, Appsmith simplifies the development of dashboards, admin panels, and CRUD applications. Developers can also customize functionality using JavaScript, while seamless integration with databases and APIs makes it highly versatile. It supports self-hosting and enterprise-grade security features such as role-based access controls, audit logging, and SOC 2 compliance, making it suitable for organizations of all sizes. Appsmith's AI-powered agent platform enables businesses to build custom conversational agents tailored to their specific needs. These agents can be embedded into various business workflows, enhancing support, sales, and customer success teams. By leveraging data-driven AI, the platform automates tasks and scales operations efficiently.Starting Price: $0.4/hour/user -
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Stack AI
Stack AI
AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. AI that answers questions, summarize, and extract insights from any document, no matter how long. Generate tags, summaries, and transfer styles or formats between documents and data sources. Developer teams use Stack AI to automate customer support, process documents, qualify sales leads, and search through libraries of data. Try multiple prompts and LLM architectures with the ease of a button. Collect data and run fine-tuning jobs to build the optimal LLM for your product. We host all your workflows as APIs so that your users can access AI instantly. Select from the different LLM providers to compare fine-tuning jobs that satisfy your accuracy, price, and latency needs.Starting Price: $199/month -
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Ikigai
Ikigai
Model improvement and incremental model updates scenario analysis through simulations using historical data. Collaborate easily with data governance, access management, and version control. Ikigai’s out-of-the-box integrations make it easy to work with all kinds of tools that are already part of your workflows. Plug into almost any data source you can think of with Ikigai’s 200+ connectors. Want to push your ML pipeline to a website or dashboard? Just integrate directly using Ikigai’s web integrations. Use triggers to run data synchronizations and retrieve updates each time you run a data automation flow. Hook into your own APIs, or create APIs for your own data stack to integrate seamlessly with Ikigai.
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