Task-based auto-complete
Code generation and refactoring
Code explanation
Editing code in natural language
File generation for different programming languages
Avanty, Vanna: Your AI Business Intelligence Assistant, OpenSQL.ai, AIHelperBot, LINQ Me Up, Quills.ai, CodeSquire - AI code writing assistant, QueryCraft, VerbaGPT, SQLthroughAI are the best paid / free sql assistant tools.
SQL assistant is an AI-powered tool that helps users write, optimize, and debug SQL queries. It leverages natural language processing and machine learning to understand user intent and provide intelligent suggestions and auto-completions. SQL assistant aims to streamline the process of working with databases and make it more accessible to both novice and experienced users.
Core Features
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Price
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How to use
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Continue | Task-based auto-complete | To use Continue, you can download and install the VS Code extension from the GitHub repository. Once installed, you can leverage its various features. You can highlight sections of code and ask Continue for auto-completion, code generation, refactoring, or explanations. You can also edit code in a natural language by instructing Continue to perform refactorings or write new code. Moreover, Continue can generate files from scratch, automatically generating Python scripts, React components, and more. | |
Hex | Collaborative data notebooks | Hex provides a collaborative data workspace where users can perform queries, create notebooks, generate reports, build data apps, and utilize AI tools. Users can integrate their entire data workflow and work with SQL, Python, R, or no-code all in one flexible notebook UI. | |
Formula Bot - AI Data Analyst | Formula Bot offers a range of core features including AI-powered formula generation, data preparation capabilities, and in-depth data analysis. It also provides insights and visualizations to aid in understanding the data. The tool supports a variety of data formats and has a user-friendly interface. | To use Formula Bot, simply upload your data file to the tool. The AI algorithms will automatically analyze the data, generate relevant formulas, and provide insights and analysis. You can then apply these formulas to your data to gain deeper understanding and make data-driven decisions. | |
Basedash | AI-generated interface |
Basic $29/month Includes basic features and support
| Connect your database to Basedash and it will handle all the dashboard, chart, API call, CRUD operation, and SQL query tasks for you. |
AI Formula Wizard | AI-powered formula generation | To use AI Formula Wizard, simply provide text instructions describing the desired formula. The AI will then generate the corresponding formula for you. | |
Aporia | Real-time Guardrails | Use Aporia to mitigate AI risks and ensure the reliability of AI apps. | |
Vanna: Your AI Business Intelligence Assistant | AI-powered SQL generation |
free_tier $0/month - Single-User Models with GPT 3.5 Foundational Model
| 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. |
Latitude | Connect data sources easily | Connect your data sources, model and analyze the data, build stunning dashboards and reports, collaborate with others, and generate insights. | |
Quadratic | Real-time collaboration | To use Quadratic, simply open it in your web browser. It natively supports Python, Formulas, and AI. You can collaborate in real-time with others and perform high-performance analysis. | |
TiDB Cloud | AI-generated SQL | To use TiDB Cloud, sign up for an account on the website. Once signed in, you can create a new database instance and customize its configuration. You can then connect to the database using standard SQL clients or API calls. TiDB Cloud takes care of resource provisioning, scaling, and management, allowing you to focus on your data and queries. |
Database administration and management
Business intelligence and analytics
Data-driven application development
Academic research and data exploration
Users praise SQL assistant for its intuitive interface, accurate suggestions, and time-saving features. Some users note that the tool may occasionally miss complex query optimizations, but overall, it significantly improves their workflow and productivity when working with databases. The tool's accessibility for beginners and integration with popular database systems are also highly appreciated.
A marketing analyst using SQL assistant to quickly extract customer data for a targeted campaign
A data scientist leveraging SQL assistant to explore and analyze large datasets more efficiently
A business analyst using SQL assistant to generate reports with complex SQL queries without extensive technical knowledge
To use SQL assistant, simply start typing your SQL query in the provided interface. The assistant will offer auto-completion suggestions as you type, helping you write valid SQL statements quickly. It will also highlight potential syntax errors and provide recommendations for optimizing your query for better performance. You can review and apply the suggested changes before executing the query.
Increased productivity and efficiency in writing SQL queries
Reduced syntax errors and improved query accuracy
Easier access to advanced SQL features for novice users
Improved query performance through optimization suggestions
Seamless integration with existing database workflows