Best Artificial Intelligence Software for SQL - Page 5
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Compare the Top Artificial Intelligence Software that integrates with SQL as of July 2025 - Page 5
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This a list of Artificial Intelligence software that integrates 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.
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AI2sql
AI2sql.io
With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL. All you need to do is enter a few keywords about your data - AI2sql automatically builds an optimized SQL query for your data resulting in extremely fast performance. We wanted to share some exciting numbers with you about how many people have tried out AI2sql, and what they've been able to accomplish with it. To get the best results with AI2sql, it is important to clearly define your goals and use the tool's customization options, test and verify the generated SQL. You can also try changing the prompts or input used to generate the SQL statements to see if this results in more accurate or efficient queries. -
2
SourceAI
SourceAI
Open to all (even for non-developers), straightforward and simple to use, clear and intuitive interface. Save time in development, generate your code in one click and use your time more efficiently. Powered by GPT-3 and Codex, the most advanced AI technology, and next-generation development. Sometimes SourceAI will have trouble understanding what you want, so you'll have to explain it in more detail. At SourceAI, we are a close-knit team of empathetic and optimistic developers who care deeply about accelerating human progress by making programming accessible to all. Our mission is to give everyone the opportunity to create valuable customized software. We build a self-contained system that can create software at the level of the world's most skilled engineers. We have developed a stand-alone system based on the GPT-3 language model. SourceAI is a tool that can generate code for you in any language from a plain text description. -
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AI Query
AI Query
Use simple English and let AI do the heavy lifting for you. With AI Query anyone can create efficient SQL queries, without even knowing a thing about it. Once your database schema is ready, you can easily generate SQL queries with simple text prompts. Let the AI do the work for you.Starting Price: $10 per month -
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DevBox
DevBox
71 handcrafted tools (generators, converters, encoders, etc...), 20 cheat-sheets and 65 code snippets for developers and designers, available in multiple platforms. DevBox works entirely offline, so you never have to worry bout sensitive data since it never leaves the app. All tools respond to your actions instantly, so you can always see the end result without delay. Plenty of viewers are there for you to quickly check out data in varius formats (CSV, JSON, JWT, etc). Formatters and converters are working as you type, download or copy is just one click away. DevBox has 20 cheat-sheets for codes, services and many CLI tools.Starting Price: $25 one-time payment -
5
DevKit
DevKit
The Essential AI assistant for Developers. DevGPT combines ChatGPT and our 30+ mini-devtools to help you test public APIs, query databases, generate code and interactive art, and a lot more in just seconds to help you save 10s of hours every week! Build features swiftly and test them in isolation and then bring them into your codebase with confidence. Awaken the creative coder in you by experimenting with our code generation and p5.js tools to create cool art and mini games. While we have an amazing free community of 250+ developers on Discord, we have an even more amazing exclusive sub-community for our Pro users. All your favorite tools in one place. No need to manage multiple apps, websites, and CLI tools. Reduce context-switching and boost your productivity. -
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Quadratic
Quadratic
Quadratic enables your team to work together on data analysis to deliver faster results. You already know how to use a spreadsheet, but you’ve never had this much power. Quadratic speaks Formulas and Python (SQL & JavaScript coming soon). Use the language you and your team already know. Single-line formulas are hard to read. In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it. -
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Flexberry AI Assistant
Flexberry AI Assistant
AI assistant for business analysts, making it easier and faster for business analysts and other specialists like UI/UX designers to analyze text, and generate mockup forms, SQL script, and UML diagrams in a minute. An AI Assistant that allows, through artificial intelligence automate some part of analysts' and UI/UX designer's day-to-day work relating to the text. Extracting information from natural language to build an information system. Structuring information by category and building project metadata in accordance with industry best practices. Generating prototypes of visual project diagrams, databases,s, and business process diagrams. Analyzing of statements and requirements for completeness. Assistance in the preparation of project documentation by automating the formation of standard texts. Quick and easy way to create an MVP for a proposed solution. As the name suggests, the AI Assistant is for assisting and not completely replacing human task. -
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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. -
9
Haystack
deepset
Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Build semantic search and question-answering applications that can scale to millions of documents. Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API. -
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Wherobots
Wherobots
Wherobots enables users to easily develop, test, and deploy geospatial data analytics and AI pipelines within the user's existing data stack. That can be deployed in the cloud. Users do not have to worry about the hassle of resource administration, workload scalability, and geospatial processing support/optimization. Connect your Wherobots account to the cloud database where the data is stored using our SaaS web interface. Develop your geospatial data science, machine learning, or analytics application using Sedona Developer Tool. Schedule automatic deployment of your geospatial pipeline to the cloud data platform and monitor the performance in Wherobots. Consume the outcome of your geospatial analytics task. The consumption model can be through a single geospatial map visualization or API calls. -
11
AskYourDatabase
AskYourDatabase
Forget complex SQL or Python scripts, connect your database, and start chatting with your data. This plugin is a ChatGPT demo for further development. It only supports PostgreSQL, but you can copy and use it as a starting point for developing your own plugin. After you install it, you can try it with your PostgreSQL database, if you don't have one, you can try Vercel Postgres and get a free Postgres DB. -
12
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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BlazeSQL
BlazeSQL
Blaze learns about your database, writes your SQL code, runs the query, and even creates graphs and dashboards, for ultimate AI data analytics. Tell Blaze what you need and skip 85% of the data work. BlazeSQL for desktop allows you to run queries and visualize your data, completely local and private, Blaze AI remembers what your columns mean, by letting you add that information to its memory (like database documentation). Add your database info in seconds, connect, or just paste column names. The AI can understand your database without seeing your actual data, just run the provided query to extract table names, column names, etc. Paste the result, and the AI will remember it. Blaze is the perfect tool for working with SQL databases. Simply write what data you want in English, and Blaze gives you the SQL code. Blaze can generate pretty complex queries using the technology behind ChatGPT, and improve over time. -
14
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. -
15
Shakker
Shakker
With Shakker you can turn your imagination into images, in seconds. AI image generation doesn't have to be clunky when you use Shakker. Whether you want to create images, change styles, combine components, or paint any parts, Shakker makes it smoother than ever for you with prompt suggestions and precise designs. Shakker revolutionizes image creation, you can simply upload a reference photo, and it recommends styles from a library of vast images, making it easy to craft the perfect image. Beyond style transformation, Shakker offers advanced editing tools like segmentation, quick selection, and lasso for precise inpainting. Shakker.AI operates on sophisticated AI algorithms that analyze input and generate images accordingly. It interprets user commands or prompts to produce images that align with specified styles and themes. The underlying technology seamlessly blends AI's computational power with artistic creativity, delivering both unique and high-quality outputs. -
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Gemma
Google
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs. -
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Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
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Rabot
Rabot
Achieve 100% accuracy of every order fulfilled with Rabot. Rabot unlocks actionable insights with real-time data from your warehouse to help you scale. Pack stations can be black boxes. Rabot’s Vision AI gives Staci USA the visibility they need to digitize QA and achieve 99% accuracy of all orders. Without full visibility into day-to-day activities at your pack stations, you’re leaving a lot up to chance. Rabot’s Vision AI platform uses live camera feeds and real-time data from your ecosystem software to help you improve your packing performance. Plug into your WMS, get real-time chat notifications, or connect to our API. We’re building a connected ecosystem to help you access all data in one place. AI-powered devices meet purpose-built user interfaces in a connected ecosystem, to help your team move faster. Rabot is the only platform that integrates your existing tools and workflows with cutting-edge AI tech to deliver real efficiencies for your business. -
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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
Microsoft Intelligent Data Platform
Microsoft
The Microsoft Intelligent Data Platform is an integrated data and AI platform designed to help organizations adapt rapidly, add intelligence to applications, and generate predictive insights. It unifies databases, analytics, and governance, enabling businesses to invest more time in creating value rather than managing their data estate. The platform offers seamless data integration and real-time business intelligence, facilitating powerful decision-making and innovation. By breaking down data silos, it allows organizations to extract real-time insights with the necessary data governance to operate safely. The platform's capabilities include accelerating innovation, improving productivity through automation and AI, and enhancing agility by anticipating changes and improving decision-making. It also provides comprehensive security across the data lifecycle, helping protect hybrid and multi-cloud environments. -
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Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite is Google DeepMind's lighter AI model, designed to offer a cost-effective solution without compromising performance. As the most economical model in the Gemini 2.0 lineup, Flash-Lite is tailored for developers and businesses seeking efficient AI capabilities at a lower cost. It supports multimodal inputs and features a context window of one million tokens, making it suitable for a variety of applications. Flash-Lite is currently available in public preview, allowing users to explore its potential in enhancing their AI-driven projects. -
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Gemini 2.0 Pro
Google
Gemini 2.0 Pro is Google DeepMind's most advanced AI model, designed to excel in complex tasks such as coding and intricate problem-solving. Currently in its experimental phase, it features an extensive context window of two million tokens, enabling it to process and analyze vast amounts of information efficiently. A standout feature of Gemini 2.0 Pro is its seamless integration with external tools like Google Search and code execution environments, enhancing its ability to provide accurate and comprehensive responses. This model represents a significant advancement in AI capabilities, offering developers and users a powerful resource for tackling sophisticated challenges. -
23
ERNIE X1
Baidu
ERNIE X1 is an advanced conversational AI model developed by Baidu as part of their ERNIE (Enhanced Representation through Knowledge Integration) series. Unlike previous versions, ERNIE X1 is designed to be more efficient in understanding and generating human-like responses. It incorporates cutting-edge machine learning techniques to handle complex queries, making it capable of not only processing text but also generating images and engaging in multimodal communication. ERNIE X1 is often used in natural language processing applications such as chatbots, virtual assistants, and enterprise automation, offering significant improvements in accuracy, contextual understanding, and response quality.Starting Price: $0.28 per 1M tokens -
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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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25
LightOn
LightOn
LightOn is a generative AI solution designed for enterprises, enabling seamless integration of AI capabilities into business workflows while ensuring data confidentiality. It offers features such as private chat with large language models, enhanced knowledge retrieval through Retrieval-Augmented Generation (RAG), and customizable business cases, allowing organizations to tailor AI tools to their specific needs. Paradigm supports secure hosting compliant with SOC 2, ISO 27001, and HIPAA standards, and provides robust user management, access controls, and audit logs. Flat pricing for predictable costs, with flexible plans to adapt to your usage. Expert guidance for successful implementation. Tailored to your organization and specific needs. Tracked system activities with dedicated reports. Effortlessly stay compliant with enterprise-grade standards. -
26
Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
27
eRAG
GigaSpaces
GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs. eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations. -
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DeepSeek-Coder-V2
DeepSeek
DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources. -
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100x
100x
100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary. -
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SchemaFlow
SchemaFlow
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships.
