Best AI Development Platforms for SQL
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Compare the Top AI Development Platforms that integrate with SQL as of April 2026
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This a list of AI Development platforms that integrate with SQL. Use the filters on the left to add additional filters for products that have integrations with SQL. View the products that work with SQL in the table below.
What are AI Development Platforms for SQL?
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 SQL currently available using the table below. This list is updated regularly.
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1
Mistral AI
Mistral AI
Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.Starting Price: Free -
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Zerve AI
Zerve AI
Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists, business users and teams alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. Zerve can be used as SaaS, self-hosted, or even on-premise for highly regulated environments. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others.Starting Price: $0 -
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Vertex AI Notebooks
Google
Vertex AI Notebooks is a fully managed, scalable solution from Google Cloud that accelerates machine learning (ML) development. It provides a seamless, interactive environment for data scientists and developers to explore data, prototype models, and collaborate in real-time. With integration into Google Cloud’s vast data and ML tools, Vertex AI Notebooks supports rapid prototyping, automated workflows, and deployment, making it easier to scale ML operations. The platform’s support for both Colab Enterprise and Vertex AI Workbench ensures a flexible and secure environment for diverse enterprise needs.Starting Price: $10 per GB -
4
Arch
Arch
Stop wasting time managing your own integrations or fighting the limitations of black-box "solutions". Instantly use data from any source in your app, in the format that works best for you. 500+ API & DB sources, connector SDK, OAuth flows, flexible data models, instant vector embeddings, managed transactional & analytical storage, and instant SQL, REST & GraphQL APIs. Arch lets you build AI-powered features on top of your customer’s data without having to worry about building and maintaining bespoke data infrastructure just to reliably access that data.Starting Price: $0.75 per compute hour -
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Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
6
LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
7
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. -
8
Kognitos
Kognitos
Build automations and manage exceptions all in intuitive english. Intuitively automate processes that contain structured and unstructured data, large transaction volumes, and complicated, exception-heavy workflows that are difficult for traditional automation tools. Processes that encounter exceptions, like document-heavy processes, have historically been difficult for RPA to build because of all the up-front development work to build in exception handling. Kognitos takes a fundamentally different approach by allowing your users to teach your automation how to handle the exceptions using natural language. Kognitos emulates the way we would teach one another how to resolve errors and edge cases by intuitive prompting that puts humans in control. Automation can now be trained to work just as you would train another human through experience and examples. -
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PromptQL
Hasura
PromptQL is an enterprise-grade AI platform that builds reasoning models with near-perfect accuracy, tailored to each organization’s unique context. Unlike generic AI tools, PromptQL learns your business rules, tacit knowledge, and internal language to act like a trusted analyst or engineer. It empowers companies to deploy specialized AI that not only delivers correct answers but also signals confidence levels and learns continuously from feedback. Within 14 days, enterprises can go from setup to real-world rollout, unlocking measurable results faster than traditional AI deployments. Used by Fortune 100 companies and global enterprises, PromptQL consistently outperforms warehouse-native AI solutions in accuracy and reliability. Designed for adoption, not obsolescence, PromptQL enables organizations to build AI that truly understands their business. -
10
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
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11
Unremot
Unremot
Unremot is a go-to place for anyone aspiring to build an AI product - with 120+ pre-built APIs, you can build and launch AI products 2X faster, at 1/3rd cost. Even, some of the most complicated AI product APIs take less than a few minutes to deploy and launch, with minimal code or even no-code. Choose an AI API that you want to integrate to your product from 120+ APIs we have on Unremot. Provide your API private key to authenticate Unremot to access the API. Use unremot unique URL to connect the product API - the whole process takes only minutes, instead of days and weeks.
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