Compare the Top AI Development Platforms that integrate with PostgreSQL as of June 2025

This a list of AI Development platforms that integrate with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What are AI Development Platforms for PostgreSQL?

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 PostgreSQL currently available using the table below. This list is updated regularly.

  • 1
    Appsmith

    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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  • 2
    Stack AI

    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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  • 3
    Movestax

    Movestax

    Movestax

    Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. Create sophisticated workflows and integrations directly within your cloud infrastructure. Run scalable serverless functions, automating tasks without managing servers. Simplify user management with Movestax’s built-in authentication system. Access pre-built APIs and foster community collaboration to accelerate development. Store and retrieve files and backups with secure, scalable object storage.
    Starting Price: $20/month
  • 4
    Retool

    Retool

    Retool

    Retool is an application development platform that enables developers to combine the benefits of traditional software development with a drag-and-drop UI editor and AI to build internal tools radically faster. Building in Retool fits with how you develop software today—deploy it anywhere, connect to any internal service, import your libraries, debug with your toolchain, and share it securely to users—ensuring good and well-governed software by default. Retool is used by industry leaders such as Amazon, American Express, DoorDash, OpenAI, and Mercedes Benz for mission critical custom software across operations, billing, and customer support.
    Starting Price: $10 per user per month
  • 5
    Predibase

    Predibase

    Predibase

    Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.
  • 6
    PostgresML

    PostgresML

    PostgresML

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.
    Starting Price: $.60 per hour
  • 7
    OpenPipe

    OpenPipe

    OpenPipe

    OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply replace your Python or Javascript OpenAI SDK and add an OpenPipe API key. Make your data searchable with custom tags. Small specialized models cost much less to run than large multipurpose LLMs. Replace prompts with models in minutes, not weeks. Fine-tuned Mistral and Llama 2 models consistently outperform GPT-4-1106-Turbo, at a fraction of the cost. We're open-source, and so are many of the base models we use. Own your own weights when you fine-tune Mistral and Llama 2, and download them at any time.
    Starting Price: $1.20 per 1M tokens
  • 8
    Goptimise

    Goptimise

    Goptimise

    Leverage AI algorithms to receive intelligent suggestions for your API design. Accelerate development with automated recommendations tailored to your project. Generate your database automatically with AI. Streamline your deployment process, and amplify your productivity. Design and implement automated workflows for a smooth and efficient development cycle. Tailor automation processes to fit your specific project requirements. Achieve a personalized development experience with adaptable workflows. Enjoy the flexibility of managing diverse data sources within a single, organized environment. Design workspaces that reflect the structure of your projects. Create dedicated workspaces to house multiple data stores seamlessly. Streamlining tasks through programmed processes, enhancing efficiency, and reducing manual effort. Each user spawns their own dedicated instance(s). Incorporate custom logic for complex data operations.
    Starting Price: $45 per month
  • 9
    LLMWare.ai

    LLMWare.ai

    LLMWare.ai

    Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face. LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG), and other use cases, which include many of the core objects for developers to get started instantly. Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases. Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains. From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.
    Starting Price: Free
  • 10
    Lamatic.ai

    Lamatic.ai

    Lamatic.ai

    A managed PaaS with a low-code visual builder, VectorDB, and integrations to apps and models for building, testing, and deploying high-performance AI apps on edge. Eliminate costly, error-prone work. Drag and drop models, apps, data, and agents to find what works best. Deploy in under 60 seconds and cut latency in half. Observe, test, and iterate seamlessly. Visibility and tools ensure accuracy and reliability. Make data-driven decisions with request, LLM, and usage reports. See real-time traces by node. Experiments make it easy to optimize everything always embeddings, prompts, models, and more. Everything you need to launch & iterate at scale. Community of bright-minded builders sharing insights, experience & feedback. Distilling the best tips, tricks & techniques for AI application development. An elegant platform to build agentic systems like a team of 100. An intuitive and simple frontend to collaborate and manage AI applications seamlessly.
    Starting Price: $100 per month
  • 11
    Diaflow

    Diaflow

    Diaflow

    Diaflow is an enterprise platform for scaling AI across your organization by enabling everyone to deploy AI workflows that drive innovation. From manual processes to fully automated ones, create powerful apps and workflows from any data source across your teams. Effortlessly automate your business’s manual processes with solutions your team will love. Build powerful AI-driven internal apps that you are proud of with Diaflow's intuitive interfaces and components. An innovative way for document creation and edition with Diaflow AI-powered editing tool. Leveraging your expertise, to provide 24/7 support and engagement. Easily manage and transform your data with a built-in AI-enabled spreadsheet solution. Discover how easy it is to use Diaflow to build amazing products for your company. Diaflow provides all you need to create apps and workflows in minutes with no coding required.
    Starting Price: $199 per month
  • 12
    Infactory

    Infactory

    Infactory

    ​Infactory is an AI platform designed to help developers and enterprises build trustworthy AI assistants, agents, and search tools. It connects directly to various data sources, including PostgreSQL, MySQL, CSVs, and REST APIs, transforming them into AI-powered assets in seconds. Infactory ensures precise, verifiable answers by generating accurate queries and giving users complete control over AI responses. Infactory creates dynamic, custom query templates that answer typical business inquiries while remaining adjustable for unique requirements. Users can preview how their deployed queries will function through natural conversation, turning complex questions into instant, trustworthy answers. It also offers monitoring capabilities, providing transparency into query utilization, data asset value, usage patterns, and governance compliance.
    Starting Price: $30 per month
  • 13
    Intel Tiber AI Studio
    Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that unifies and simplifies the AI development process. The platform supports a wide range of AI workloads, providing a hybrid and multi-cloud infrastructure that accelerates ML pipeline development, model training, and deployment. With its native Kubernetes orchestration and meta-scheduler, Tiber™ AI Studio offers complete flexibility in managing on-prem and cloud resources. Its scalable MLOps solution enables data scientists to easily experiment, collaborate, and automate their ML workflows while ensuring efficient and cost-effective utilization of resources.
  • 14
    Zerve AI

    Zerve AI

    Zerve AI

    Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. Fine-grained selection of compute resources and extra memory for complex data transformation.
  • 15
    DataChain

    DataChain

    iterative.ai

    DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.
    Starting Price: Free
  • 16
    UBOS

    UBOS

    UBOS

    Everything you need to transform your ideas into AI apps in minutes. Anyone can create next-generation AI-powered apps in 10 minutes, from professional developers to business users, using our no-code/low-code platform. Seamlessly integrate APIs like ChatGPT, Dalle-2, and Codex from Open AI, and even use custom ML models. Build custom admin client and CRUD functionalities to effectively manage sales, inventory, contracts, and more. Create dynamic dashboards that transform data into actionable insights and fuel innovation for your business. Easily create a chatbot to improve customer support and create a true omnichannel experience with multiple integrations. An all-in-one cloud platform combines low-code/no-code tools with edge technologies to make your web application scalable, secure, and easy to manage. Transform your software development process with our no-code/low-code platform, perfect for both business users and professional developers alike.
  • 17
    Ikigai

    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.
  • 18
    SAVVI AI

    SAVVI AI

    SAVVI AI

    See how Savvi can quickly and easily solve your business challenges. Increase operational efficiency, and empower your team to succeed. Start with the decision, recommendation or prediction that you want to automate with AI. Easily integrate existing data or run a data cold start with a simple line of code in your app. Savvi handles your AI App end-to-end, define your prediction or decision options, identify business goals and publish. Savvi collects the data, trains the ML model, builds your objective function, deploys the AI App into your product. Savvi will continuously learn to improve to your goals. Savvi can securely collect data from your product and train an ML model in less than a few weeks. Just drop in a snippet of Savvi’s code and go. No need for a data architecture project to get started with AI.
  • 19
    PromptQL

    PromptQL

    Hasura

    PromptQL is a platform developed by Hasura that enables Large Language Models (LLMs) to access and interact with structured data sources through agentic query planning. This approach allows AI agents to retrieve and process data in a human-like manner, enhancing their ability to handle complex, real-world user queries. By providing LLMs with access to a Python runtime and a standardized SQL interface, PromptQL facilitates accurate data querying and manipulation. The platform supports integration with various data sources, including GitHub repositories and PostgreSQL databases, allowing users to build AI assistants tailored to their specific needs. PromptQL addresses the limitations of traditional search-based retrieval methods by enabling AI agents to perform tasks such as gathering relevant emails and classifying follow-ups with greater accuracy. Users can get started by connecting their data, adding their LLM API key, and building with AI.
  • 20
    impaction.ai
    Discover. Analyze. Optimize. Use [impaction.ai]'s intuitive semantic search to effortlessly sift through conversational data. Just type 'find me conversations where...' and let our engine do the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations, highlights key trends, and even recommends which dialogues deserve your attention. Armed with these insights, take data-driven actions to enhance user engagement and build a smarter, more responsive AI product. Columbus not only tells you what's happening but also suggests how to make it better.
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