Best 74 sql query Tools - 2025
Znote ,YoBulk ,Vanna: Your AI Business Intelligence Assistant ,TiDB Cloud ,Text2SQL.AI ,AI SQL Converter ,Tantl ,TableTalk ,SupaSQL ,SQLthroughAI , are the best paid / free sql query tools.
Znote ,YoBulk ,Vanna: Your AI Business Intelligence Assistant ,TiDB Cloud ,Text2SQL.AI ,AI SQL Converter ,Tantl ,TableTalk ,SupaSQL ,SQLthroughAI , are the best paid / free sql query tools.
Vanna is an AI-powered Python package that generates SQL for databases, acting as a business intelligence assistant.
TiDB Cloud is a fully managed service that combines AI-generated SQL and Serverless HTAP for real-time analytics and elastic scaling.
A user-friendly AI platform converts English instructions into SQL queries.
A web app that improves SQL query writing using AI and natural language processing.
Build interactive data apps and streamline decision-making with AI-powered platform, Olli.
SQL (Structured Query Language) queries are used to communicate with a database to retrieve, manipulate, and manage data stored in relational database management systems (RDBMS). SQL has been widely used since the 1970s and remains an essential tool for data professionals and applications that interact with databases.
sql query already has over 74 AI tools.
sql query already boasts over 2.8M user visits per month.
sql query already exists at least 0 AI tools with more than one million monthly user visits.
Core Features | Price | How to use | |
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Dify |
Dify empowers users to create sustainable applications effortlessly. |
To use Dify, sign up for a free account and log in. You can then start by creating your AI-native application using the visual composition tools. Choose from various application types like chat bot, code converter, SQL generator, news content writing, creative script, summary abstract, personalized dialogue, and Quora question answer. Customize the application based on your requirements and deploy it within minutes. You can also use Dify's API for more advanced integration and plugin options. |
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Vanna: Your AI Business Intelligence Assistant |
Vanna is an AI-powered Python package that generates SQL for databases, acting as a business intelligence assistant. |
To use Vanna, install the Python package 'vanna' and set up an API key. Then, specify the database model you want to train Vanna on and ask queries using the 'ask' function. Vanna will generate SQL queries for you in seconds. |
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TableTalk |
AI-powered TableTalk enables natural language communication with your database. |
To use TableTalk, simply connect your database, and then you can start asking questions about your data using everyday language. TableTalk will provide relevant answers and insights to help you analyze and understand your database. |
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DevKit |
DevKit is an essential toolkit for developers, offering AI assistance and various devtools. |
To use DevKit, simply login to the platform. DevGPT can assist you in generating configurations for public APIs, testing APIs, querying databases, and executing code within the chat interface. It supports multiple programming languages and provides features to help in code generation and creative coding. Additionally, DevKit offers a collection of tools, editors, and utilities in one place, reducing the need for switching between multiple apps and websites. |
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Spice.ai |
Ready-to-use data and AI infrastructure for intelligent software. |
With Spice.ai, developers can combine web3 data with code and machine learning to build data and AI-driven applications. The platform provides access to high-quality, enriched datasets and offers developer-friendly SDKs for easy integration. Users can query web3 data using SQL and perform filtering and aggregations. Spice.ai also supports serverless functions and offers a petabyte-scale data platform for real-time, time-series data. |
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Outerbase |
Outerbase is an interface for collaborative data exploration and visualization, similar to Figma. |
To use Outerbase, sign up for free and connect your preferred database. Then, you can easily view your data, create queries, edit data in-line like a spreadsheet, organize SQL queries, and share queries with your team. The autocomplete feature helps developers quickly select schemas, tables, columns, and more. Outerbase also allows you to create stunning dashboards with beautiful charts and customizable visualizations. |
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AskYourDatabase |
Plugin allowing users to query database with natural language in ChatGPT, no SQL needed. |
To use AskYourDatabase, install it as a plugin for ChatGPT. Once installed, provide the connection string or URI of your database to ChatGPT. You can then start asking questions about your data using natural language queries. |
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MyScale |
Next-gen AI database with vector search and SQL analytics. |
To use MyScale, follow these steps: 1. Sign up for a free trial account. 2. Import your data into MyScale. 3. Write SQL queries to perform vector search and analytics. 4. Use the MyScale API to integrate with your applications. 5. Monitor and optimize performance using the MyScale dashboard. |
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Datascale |
AI SQL knowledge base |
Sign in with Google to organize saved queries, gain table insights, and visualize relationships |
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CleverCharts AI |
AI-powered platform for transforming data into actionable insights. |
Dive into data stories easily, make smarter decisions swiftly |
Znote is a note-taking app that boosts productivity by converting notes into micro apps.
YoBulk: an open-source, scalable, AI-powered CSV importer simplifying data cleaning and onboarding.
Vanna is an AI-powered Python package that generates SQL for databases, acting as a business intelligence assistant.
A user searching for specific products in an e-commerce website
A data analyst extracting sales data for a quarterly report
A mobile app retrieving user information for personalization
A user searching for specific products in an e-commerce website. A data analyst extracting sales data for a quarterly report. A mobile app retrieving user information for personalization
{/if]Efficient data retrieval and manipulation
Standardized language across different RDBMS platforms
Powerful data filtering and aggregation capabilities
Ability to handle large datasets
Integration with various programming languages and frameworks