Thordata is an AI-powered data interaction platform that helps teams query their databases using simple natural language. It is designed to eliminate the need for writing SQL manually, making it easier for business users, product managers, analysts, and other non-technical stakeholders to extract insights from structured data.
By allowing users to ask questions in plain English, Thordata transforms these queries into accurate, optimized SQL statements that are executed directly against connected databases. The tool aims to make data more accessible, reduce the workload on data teams, and foster a culture of self-service analytics within organizations.
Thordata is built to integrate seamlessly with existing data stacks, offering secure, real-time access to live data without compromising governance or privacy.
Features
Thordata offers a range of features tailored to support collaborative, secure, and intuitive data analysis across teams.
Natural Language to SQL
Users can type questions like “What was our revenue last quarter?” and Thordata automatically translates them into correct SQL queries that run against connected databases.
No-Code Querying
Thordata removes the need for SQL knowledge. Even users without any coding background can retrieve and explore data without technical assistance.
Database Integration
The platform supports integration with popular SQL databases, enabling real-time querying of live data. Users connect their data sources during onboarding and begin querying immediately.
Real-Time Results
Query results are fetched in real-time, ensuring users always have access to the most up-to-date insights available from their databases.
Collaboration Tools
Users can save, modify, and share queries or results with team members, enabling cross-functional collaboration and shared understanding of data.
User Access Controls
Thordata offers robust permission management to ensure users only access data relevant to their roles. This helps maintain compliance and data governance policies.
Customizable SQL Output
For advanced users, Thordata allows reviewing and editing the generated SQL, providing flexibility and control over final queries.
How It Works
Getting started with Thordata involves a simple onboarding process. After creating an account, users connect their database by following secure integration steps. Supported databases include widely used SQL-based systems.
Once connected, users interact with the Thordata interface, which resembles a chat or search bar. Users type in a question using natural language, and the AI processes the query, taking into account the data schema, column names, and relationships.
Thordata then generates an optimized SQL statement that is executed directly on the connected database. The resulting data is displayed in a tabular format, and users can explore, refine, or share the results.
Advanced users may also inspect and modify the SQL if needed, giving both novice and experienced users control over the querying process.
Use Cases
Marketing teams can use Thordata to analyze campaign performance, user behavior, and conversion rates by asking simple questions like “Which campaigns had the highest ROI last month?”
Sales teams can pull data on leads, closed deals, or customer churn without needing to wait for analysts to prepare reports.
Product managers can analyze feature usage or user engagement by asking “How many users completed onboarding last week?”
Executives can quickly access KPIs and key metrics during meetings by asking high-level performance questions in real-time.
Data analysts can accelerate their workflow by automating the generation of repetitive or standard queries, focusing instead on deeper analysis.
Pricing
As of the latest available information on the official Thordata website, pricing details are not publicly listed. Thordata appears to operate on a request-based pricing model, where businesses can book a demo and receive a custom quote based on their team size, database needs, and integration requirements.
Interested users are encouraged to schedule a demo to evaluate the product and discuss pricing that aligns with their business goals and data infrastructure.
Strengths
Thordata’s major strength lies in its ability to convert natural language into SQL with high accuracy. This empowers non-technical users to self-serve their data needs, freeing up data teams from routine query requests.
Its real-time data access ensures that users always work with the most current information, and its secure integration method respects data governance standards.
Thordata’s clean and user-friendly interface promotes ease of use, even for those unfamiliar with data querying. The collaborative features also support team alignment around data-driven insights.
By supporting advanced SQL review and customization, Thordata caters to both novice users and technical professionals.
Drawbacks
One limitation is the lack of transparent, publicly available pricing, which may hinder evaluation for startups or small teams operating on fixed budgets.
As with all natural language query tools, the quality of results may depend on the clarity and specificity of the user input. Ambiguous questions may require refinement.
Thordata currently appears best suited for structured data environments, meaning organizations dealing with unstructured or semi-structured data may find it less applicable.
There is also limited public documentation or community content available, which could make self-support more difficult for new users.
Comparison with Other Tools
Compared to tools like db24.ai and wald.ai, Thordata offers a similarly intuitive natural language interface for querying data. While db24.ai emphasizes a no-code, live-data experience for business teams, and wald.ai focuses more on metadata and dbt integration for technical teams, Thordata positions itself as a flexible solution for both audiences.
Unlike traditional BI tools like Tableau or Power BI, which require more setup and data modeling, Thordata allows direct querying with no dashboard configuration or data visualization setup required.
In contrast to using a general-purpose AI like ChatGPT for SQL generation, Thordata offers secure, real-time access to actual business data and is purpose-built for enterprise-grade use cases.
Customer Reviews and Testimonials
As of the current version of the Thordata website, there are limited public reviews or testimonials available. However, the product’s messaging strongly emphasizes improved efficiency, reduced dependency on technical teams, and increased data access across business functions.
The platform is positioned for teams looking to eliminate bottlenecks and reduce time-to-insight by enabling anyone to ask questions and get answers from their data quickly and securely.
Conclusion
Thordata is a promising AI-driven platform designed to make data querying as easy as asking a question. By translating natural language into SQL, it empowers teams across the organization to access insights without technical barriers.
Its support for live data connections, secure access, and collaborative features makes it a compelling option for businesses seeking to democratize data use. Whether you’re a startup looking to scale data access or an enterprise aiming to increase agility, Thordata offers a streamlined and intelligent solution.
While public pricing and documentation may be limited, the core value proposition is clear—faster access to data, fewer bottlenecks, and more informed decision-making across the board.
