AI Query vs New API
Side-by-side comparison · Updated October 2026
| Description | AI Query is a transformative tool designed to streamline the SQL query generation process. By leveraging advanced AI, users can effortlessly translate simple English queries into efficient SQL code, aiding both novices and experts in managing and understanding their databases more effectively. Moreover, AI Query offers an array of features tailored to enhance user experience, including support for multiple database engines, an intuitive dashboard for schema definition, and a unique SQL to English translator to demystify complex SQL scripts. With its accessible pricing plans, AI Query positions itself as a valuable asset for a wide range of data management needs. | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. |
| Category | SQL | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Paid | Open Source |
| Starting Price | $10/mo | N/A |
| Plans |
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| Use Cases |
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| Tags | SQLNatural Language ProcessingData ManagementProductivity | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Effortless English to SQL translation | ||
| Support for multiple database engines | ||
| Intuitive dashboard for database schema definition | ||
| SQL to English translator for easier understanding | ||
| Monthly and yearly pricing plans | ||
| Error-free SQL generation | ||
| Streamlined data management and understanding | ||
| Facilitated collaboration with saving and sharing features | ||
| Continuous support for new database engines | ||
| Accessible learning tool for SQL beginners | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| View AI Query | View New API | |
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