Find and compare the best Artificial Intelligence software for SQL in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for SQL on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Quadratic
Quadratic
Quadratic empowers your team to collaborate on data analysis, resulting in quicker outcomes. While you may already be familiar with spreadsheet usage, the capabilities offered by Quadratic are unprecedented. It fluently integrates Formulas and Python, with SQL and JavaScript support on the horizon. Utilize the programming languages that you and your colleagues are comfortable with. Unlike single-line formulas that can be difficult to decipher, Quadratic allows you to elaborate your formulas across multiple lines for clarity. The platform conveniently includes support for Python libraries, enabling you to incorporate the latest open-source tools seamlessly into your spreadsheets. The last executed code is automatically returned to the spreadsheet, and it accommodates raw values, 1/2D arrays, and Pandas DataFrames as standard. You can effortlessly retrieve data from an external API, with automatic updates reflected in Quadratic's cells. The interface allows for smooth navigation, permitting you to zoom out for an overview or zoom in to examine specifics. You can organize and traverse your data in a manner that aligns with your thought process, rather than conforming to the constraints imposed by traditional tools. This flexibility enhances not only productivity but also fosters a more intuitive approach to data management. -
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Flexberry AI Assistant
Flexberry AI Assistant
An AI companion designed specifically for business analysts and UI/UX designers streamlines the process of text analysis and the creation of mockup forms, SQL scripts, and UML diagrams in a matter of minutes. This intelligent assistant leverages artificial intelligence to automate various aspects of the daily responsibilities that analysts and designers face, particularly those related to text processing. It efficiently extracts valuable information from natural language inputs, facilitating the development of robust information systems. By categorizing data systematically and establishing project metadata according to industry standards, it enhances organization and clarity. Furthermore, this tool can generate prototypes of visual project diagrams, databases, and business process workflows with ease, while also ensuring that statements and requirements are thoroughly analyzed for completeness. Additionally, it aids in the preparation of project documentation by automating the creation of standard texts, providing a fast and straightforward method for developing a minimum viable product (MVP) for proposed solutions. Ultimately, the AI Assistant is intended to support human efforts rather than serve as a complete substitute for their invaluable expertise. By integrating this technology into their workflows, professionals can focus more on strategic tasks, leading to improved efficiency and productivity. -
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LlamaIndex
LlamaIndex
LlamaIndex serves as a versatile "data framework" designed to assist in the development of applications powered by large language models (LLMs). It enables the integration of semi-structured data from various APIs, including Slack, Salesforce, and Notion. This straightforward yet adaptable framework facilitates the connection of custom data sources to LLMs, enhancing the capabilities of your applications with essential data tools. By linking your existing data formats—such as APIs, PDFs, documents, and SQL databases—you can effectively utilize them within your LLM applications. Furthermore, you can store and index your data for various applications, ensuring seamless integration with downstream vector storage and database services. LlamaIndex also offers a query interface that allows users to input any prompt related to their data, yielding responses that are enriched with knowledge. It allows for the connection of unstructured data sources, including documents, raw text files, PDFs, videos, and images, while also making it simple to incorporate structured data from sources like Excel or SQL. Additionally, LlamaIndex provides methods for organizing your data through indices and graphs, making it more accessible for use with LLMs, thereby enhancing the overall user experience and expanding the potential applications. -
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Haystack
deepset
Leverage cutting-edge NLP advancements by utilizing Haystack's pipeline architecture on your own datasets. You can create robust solutions for semantic search, question answering, summarization, and document ranking, catering to a diverse array of NLP needs. Assess various components and refine models for optimal performance. Interact with your data in natural language, receiving detailed answers from your documents through advanced QA models integrated within Haystack pipelines. Conduct semantic searches that prioritize meaning over mere keyword matching, enabling a more intuitive retrieval of information. Explore and evaluate the latest pre-trained transformer models, including OpenAI's GPT-3, BERT, RoBERTa, and DPR, among others. Develop semantic search and question-answering systems that are capable of scaling to accommodate millions of documents effortlessly. The framework provides essential components for the entire product development lifecycle, such as file conversion tools, indexing capabilities, model training resources, annotation tools, domain adaptation features, and a REST API for seamless integration. This comprehensive approach ensures that you can meet various user demands and enhance the overall efficiency of your NLP applications. -
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Wherobots
Wherobots
Wherobots provides a seamless way for users to create, test, and implement geospatial data analytics and AI pipelines directly within their current data ecosystem, with the option for cloud deployment. This solution alleviates concerns regarding resource management, scalability of workloads, and the complexities of geospatial processing and optimization. By linking your Wherobots account to the cloud database housing your data via our user-friendly SaaS web interface, you can efficiently build your geospatial data science, machine learning, or analytics applications using the Sedona Developer Tool. You can also automate the deployment of your geospatial pipeline to the cloud data platform while monitoring its performance through Wherobots. The results of your geospatial analytics tasks can be accessed in various ways, such as through a single geospatial map visualization or via API calls, ensuring flexibility in how insights are utilized. This comprehensive approach makes geospatial analytics more accessible and manageable for users at all levels of expertise. -
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AskYourDatabase
AskYourDatabase
Ditch the intricate SQL or Python code; simply link your database and engage in conversations with your data. This plugin serves as a demonstration of ChatGPT and is intended for future enhancements. Currently, it is compatible solely with PostgreSQL, yet you can adapt and utilize it as a foundation for crafting your own custom plugin. Once you have it installed, feel free to experiment with your PostgreSQL database; if you lack one, consider using Vercel Postgres, which offers a complimentary Postgres database to get you started. With this tool, interacting with your data becomes straightforward and accessible for everyone. -
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Ikigai
Ikigai
Enhancing model performance and conducting scenario analyses through simulations with historical datasets is essential for progress. Collaboration is streamlined across data governance, access management, and version control. With Ikigai's ready-to-use integrations, you can effortlessly incorporate a wide range of tools that fit seamlessly into your existing workflows. Ikigai offers over 200 connectors, allowing you to connect to virtually any data source you can imagine. If you're looking to deploy your machine learning pipeline to a website or dashboard, Ikigai’s web integrations make that process straightforward. Utilize triggers to initiate data synchronizations and obtain updates every time you execute a data automation flow. In addition, you can connect to your own APIs or develop new ones for your data stack, ensuring a smooth integration with Ikigai. This flexibility empowers teams to adapt quickly to changing data landscapes and leverage insights effectively. -
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BlazeSQL
BlazeSQL
Blaze simplifies your experience with databases by efficiently generating SQL code, executing queries, and creating insightful graphs and dashboards to enhance AI-driven data analytics. By communicating your requirements, you can bypass 85% of conventional data tasks. With BlazeSQL for desktop, you can execute queries and visualize your datasets completely offline and securely, while Blaze AI retains meaningful context about your columns by incorporating user-provided documentation into its system. You can effortlessly input database details in mere seconds, connect seamlessly, or simply paste column names, allowing the AI to comprehend your database structure without accessing sensitive data; just execute the provided query to identify table names and column names, and Blaze will remember this information. This makes Blaze an ideal companion for managing SQL databases, as you can articulate your data needs in plain English, and Blaze will translate that into the necessary SQL code. Capable of producing intricate queries through advanced technology, Blaze continually enhances its performance over time, making it an invaluable asset for data analysis tasks. Additionally, its user-friendly interface ensures that even those with limited SQL experience can effectively utilize its features. -
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Kognitos
Kognitos
Create automations and handle exceptions using simple, intuitive language. With Kognitos, you can seamlessly automate tasks involving both structured and unstructured data, manage large volumes of transactions, and navigate complex workflows that often pose challenges for conventional automation solutions. Traditionally, processes that deal with exceptions, such as those requiring extensive documentation, have presented significant hurdles for robotic process automation due to the extensive initial work needed to incorporate exception management. However, Kognitos revolutionizes this by empowering users to instruct automation on how to address exceptions through natural language communication. This approach mimics the way we would naturally teach each other to solve problems and manage anomalies, using intuitive prompts that keep humans at the helm. Now, automation can be refined and developed much like training a human, utilizing shared experiences and practical examples to enhance its capabilities effectively. This innovative method not only simplifies the automation process but also fosters a collaborative environment where users feel more engaged and in control of the technology. -
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Shakker
Shakker
With Shakker, your creative visions can be transformed into stunning images in mere seconds. The process of generating images using AI is made incredibly user-friendly with Shakker's intuitive interface. Whether you're looking to create new visuals, modify existing styles, merge different elements, or enhance specific areas, Shakker's prompt suggestions and tailored designs provide a seamless experience. This innovative platform changes the landscape of image creation; you can easily upload a reference photo, and it will suggest styles from an extensive library, simplifying the task of producing the ideal image. In addition to style alterations, Shakker presents a suite of advanced editing features, including segmentation, quick selection, and lasso tools, allowing for meticulous inpainting. Shakker.AI harnesses powerful algorithms that not only analyze user input but also generate images that resonate with the desired styles and themes. By interpreting commands with precision, the technology successfully merges the computational strength of AI with artistic expression, resulting in outputs that are both distinct and of exceptional quality. Moreover, Shakker's user-friendly design ensures that anyone, regardless of their technical expertise, can embark on their creative journey with ease and confidence. -
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Gemma
Google
Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers. -
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Gemma 2
Google
The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications. -
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Rabot
Rabot
Achieve flawless order fulfillment with Rabot, ensuring every single order reaches 100% accuracy. By leveraging real-time data from your warehouse, Rabot provides actionable insights that facilitate scaling your operations. Pack stations often operate like black boxes, but with Rabot’s Vision AI, Staci USA can gain the necessary visibility to digitize quality assurance and maintain an impressive 99% accuracy across all orders. When you lack comprehensive visibility into the daily functions of your packing stations, you risk leaving critical aspects to chance. Rabot’s Vision AI platform harnesses live camera feeds and integrates real-time data from your ecosystem software, significantly enhancing packing performance. By connecting to your warehouse management system (WMS), receiving real-time chat alerts, or utilizing our API, you can access a wealth of information seamlessly. We are dedicated to creating a connected ecosystem that centralizes all your data for easy access. With AI-driven devices and purpose-built user interfaces working together, your team can operate more efficiently than ever. Rabot stands out as the sole platform that merges your existing tools and workflows with advanced AI technology, delivering genuine efficiencies that can transform your business operations. The future of order fulfillment lies in the integration of innovative technology and streamlined processes, and Rabot is leading the way. -
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PromptQL
Hasura
PromptQL is an innovative platform created by Hasura that empowers Large Language Models (LLMs) to interact seamlessly with structured data through intelligent query planning. This methodology enhances the capability of AI agents to retrieve and process information in a manner akin to human reasoning, significantly improving their response to intricate, real-world inquiries. By equipping LLMs with access to a Python runtime and a uniform SQL interface, PromptQL ensures precise data querying and manipulation. The platform is designed to integrate with a variety of data sources such as GitHub repositories and PostgreSQL databases, enabling users to create customized AI assistants that cater to their unique requirements. By addressing the shortcomings of conventional search-based retrieval methods, PromptQL allows AI agents to execute tasks like collecting pertinent emails and accurately classifying follow-ups. Users can easily begin their journey by connecting their data sources, inputting their LLM API key, and engaging in AI-driven development. This flexibility positions PromptQL as a vital tool for anyone looking to enhance their data-driven applications with intelligent automation. -
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Microsoft Intelligent Data Platform
Microsoft
The Microsoft Intelligent Data Platform serves as a cohesive data and AI solution that empowers organizations to quickly adapt, infuse intelligence into their applications, and derive predictive insights. By harmonizing databases, analytics, and governance, this platform allows businesses to focus more on creating value instead of managing their data infrastructure. It ensures smooth data integration and offers real-time business intelligence, which supports effective decision-making and drives innovation. By dismantling data silos, organizations can gain immediate insights while maintaining the essential data governance needed for secure operations. Additionally, the platform enhances innovation, boosts productivity through automation and AI, and increases agility by forecasting changes and refining decision-making processes. Security is also a top priority, as the platform provides robust protection throughout the data lifecycle, safeguarding both hybrid and multi-cloud environments. Ultimately, this comprehensive approach not only streamlines data management but also cultivates a more informed and responsive organizational culture. -
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Gemini 2.0 Flash-Lite
Google
Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further. -
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Gemini 2.0 Pro
Google
Gemini 2.0 Pro stands as the pinnacle of Google DeepMind's AI advancements, engineered to master intricate tasks like programming and complex problem resolution. As it undergoes experimental testing, this model boasts an impressive context window of two million tokens, allowing for the efficient processing and analysis of extensive data sets. One of its most remarkable attributes is its ability to integrate effortlessly with external tools such as Google Search and code execution platforms, which significantly boosts its capacity to deliver precise and thorough answers. This innovative model signifies a major leap forward in artificial intelligence, equipping both developers and users with a formidable tool for addressing demanding challenges. Furthermore, its potential applications span various industries, making it a versatile asset in the evolving landscape of AI technology. -
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ERNIE X1
Baidu
$0.28 per 1M tokensERNIE X1 represents a sophisticated conversational AI model created by Baidu within their ERNIE (Enhanced Representation through Knowledge Integration) lineup. This iteration surpasses earlier versions by enhancing its efficiency in comprehending and producing responses that closely resemble human interaction. Utilizing state-of-the-art machine learning methodologies, ERNIE X1 adeptly manages intricate inquiries and expands its capabilities to include not only text processing but also image generation and multimodal communication. Its applications are widespread in the realm of natural language processing, including chatbots, virtual assistants, and automation in enterprises, leading to notable advancements in precision, contextual awareness, and overall response excellence. The versatility of ERNIE X1 makes it an invaluable tool in various industries, reflecting the continuous evolution of AI technology. -
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Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows, enabling users to build, train, and deploy models more effectively. The platform supports collaborative project work, secure data sharing, and access to Amazon’s AI services for generative AI app development. With built-in tools for model training, inference, and evaluation, SageMaker Unified Studio accelerates the AI development lifecycle.
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LightOn
LightOn
LightOn presents a generative AI solution aimed at enterprises, facilitating the smooth incorporation of AI functionalities into business processes while prioritizing data security. This innovative platform includes features such as private conversations with advanced language models, improved information retrieval through Retrieval-Augmented Generation (RAG), and the ability for organizations to customize AI applications according to their unique requirements. Moreover, Paradigm ensures secure hosting that adheres to SOC 2, ISO 27001, and HIPAA compliance, offering comprehensive user management, stringent access controls, and detailed audit logs. With a straightforward pricing model for predictable expenses and adaptable plans that align with your usage, LightOn provides expert assistance to ensure successful implementation. Additionally, the system offers tailored solutions specific to your organization, along with thorough tracking of activities and dedicated reporting. This enables businesses to remain effortlessly compliant with high-level enterprise standards, thus promoting an environment of trust and efficiency. -
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Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a high-performance AI model developed by Google to meet the needs of businesses requiring low-latency responses and cost-effective processing. Integrated into Vertex AI, it is optimized for real-time applications like customer support and virtual assistants, where responsiveness is crucial. Gemini 2.5 Flash features dynamic reasoning, which allows businesses to fine-tune the model's speed and accuracy to meet specific needs. By adjusting the "thinking budget" for each query, it helps companies achieve optimal performance without sacrificing quality. -
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eRAG
GigaSpaces
GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) serves as an AI-driven platform aimed at improving decision-making within enterprises by facilitating natural language interactions with structured data sources, including relational databases. In contrast to conventional generative AI models, which often produce unreliable or "hallucinated" outputs when processing structured information, eRAG utilizes deep semantic reasoning to effectively convert user inquiries into SQL queries, retrieve pertinent data, and generate accurate, contextually relevant responses. This innovative methodology guarantees that the answers provided are based on real-time, reliable data, thereby reducing the risks linked to unverified AI-generated information. Furthermore, eRAG integrates smoothly with a variety of data sources, empowering organizations to maximize the capabilities of their current data infrastructure. In addition to its data integration features, eRAG includes built-in governance measures that track user interactions to ensure adherence to regulatory standards, thereby promoting responsible AI usage. This holistic approach not only enhances decision-making processes but also reinforces data integrity and compliance across the organization. -
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DeepSeek-Coder-V2
DeepSeek
DeepSeek-Coder-V2 is an open-source model tailored for excellence in programming and mathematical reasoning tasks. Utilizing a Mixture-of-Experts (MoE) architecture, it boasts a staggering 236 billion total parameters, with 21 billion of those being activated per token, which allows for efficient processing and outstanding performance. Trained on a massive dataset comprising 6 trillion tokens, this model enhances its prowess in generating code and tackling mathematical challenges. With the ability to support over 300 programming languages, DeepSeek-Coder-V2 has consistently outperformed its competitors on various benchmarks. It is offered in several variants, including DeepSeek-Coder-V2-Instruct, which is optimized for instruction-based tasks, and DeepSeek-Coder-V2-Base, which is effective for general text generation. Additionally, the lightweight options, such as DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, cater to environments that require less computational power. These variations ensure that developers can select the most suitable model for their specific needs, making DeepSeek-Coder-V2 a versatile tool in the programming landscape. -
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100x
100x
100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management. -
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SchemaFlow
SchemaFlow
SchemaFlow is an innovative tool aimed at advancing AI-driven development by granting real-time access to PostgreSQL database schemas through the Model Context Protocol (MCP). It empowers developers to link their databases, visualize schema layouts using interactive diagrams, and export schemas in multiple formats including JSON, Markdown, SQL, and Mermaid. Featuring native MCP support via Server-Sent Events (SSE), SchemaFlow facilitates smooth integration with AI-Integrated Development Environments (AI-IDEs) such as Cursor, Windsurf, and VS Code, thereby ensuring that AI assistants are equipped with the latest schema data for precise code generation. Furthermore, it includes secure token-based authentication for MCP connections, automatic schema updates to keep AI assistants aware of modifications, and a user-friendly schema browser for effortless exploration of tables and their interrelations. By providing these features, SchemaFlow significantly enhances the efficiency of development processes while ensuring that AI tools operate with the most current database information available.
