Modern enterprises depend on swift, data-driven decisions. Yet, tapping into massive, distributed datasets — often scattered across multiple data sources — can feel like navigating a maze. SQL queries become more complex, performance bottlenecks emerge, and only a handful of technical experts can translate raw data into actionable insights.
Enter Trino and Wren AI. By combining the power of Trino, a high-performance, distributed SQL query engine, with Wren AI’s intuitive text-to-SQL, semantic layer, and LLM-driven data interpretation, businesses gain a seamless way to query big data repositories using plain English. This synergy makes data accessibility universal and instant, ensuring that everyone — from executives to analysts — can ask questions, get answers, and drive decisions at unprecedented speed and scale.
In this guide, we’ll explore why Trino and Wren AI are a perfect match, how they simplify big data analytics, and best practices for implementing text-to-SQL in your organization.
Trino has emerged as a leading distributed SQL query engine, designed to run fast queries on large datasets. It connects seamlessly to a variety of data sources — cloud object storage, on-premises databases, and even streaming data platforms — without moving or duplicating data. Trino’s core advantages include:
This flexibility sets the stage for combining Trino’s power with Wren AI’s user-friendly interface, making advanced analytics accessible to everyone in the organization.
Text-to-SQL transforms how teams interact with data. Instead of crafting complex SQL statements, users simply ask questions in plain language — “What were last quarter’s top products by revenue?”. The system then converts that question into a valid SQL query, executes it, and returns results instantly.
LLMs (Large Language Models) supercharge this process. Advanced LLMs like GPT-4 or Anthropic’s Claude can understand context, clarify ambiguous terms, and translate nuanced business questions into precise SQL commands. This means non-technical users gain direct access to enterprise data without learning SQL, bridging the gap between decision-makers and data repositories.
Wren AI is an open-source text-to-SQL solution for data teams to get results and insights faster by asking business questions without writing SQL. Wren AI supports a wide range of data sources, such as DuckDB, MySQL, Microsoft SQL Server, BigQuery, Trino, etc… Also, she supports open and local LLM inference endpoints such as OpenAI GPT-4o and local LLM hosts via Ollama.
Wren AI serves as the connective tissue that unites powerful backends like Trino with user-friendly front ends. It applies an intelligent semantic layer on top of your data sources, ensuring consistent terminology and mappings between business concepts and database entities.
Key benefits of Wren AI include:
This approach ensures that tapping into your distributed data environment is both frictionless and scalable.
Start by configuring Trino to access your various data repositories — data lakes (e.g., Amazon S3), databases (MySQL, PostgreSQL), or warehouses (Snowflake, BigQuery).
Check out the detailed documentation here.
Set up Wren AI and integrate it with Trino through a secure, authenticated connection. Wren AI will read Trino’s metadata, including available tables and schemas.
Check out the detailed documentation here.
Map business concepts to database fields. For example, “monthly revenue” might be mapped to SUM(sales.amount) filtered by the previous month. Doing this upfront ensures every question asked returns consistent results.
Check out the detailed documentation here.
With Trino and Wren AI connected, users can now query data by simply typing questions. Wren AI uses LLMs to interpret the query, consult the semantic layer, and generate the appropriate SQL.
Check out the detailed documentation here.
The generated SQL runs on Trino, tapping into distributed nodes for speed. Results are returned promptly, and Wren AI may present them in an easily digestible format — tables natural language summaries, and SQL break downs.
Check out the detailed documentation here.
The combination of Trino and Wren AI represents a quantum leap in data accessibility. With text-to-SQL, semantic layers, and advanced LLMs, enterprises can empower every team member to explore massive datasets freely and confidently. By removing technical barriers and delivering real-time insights, organizations become more agile, innovative, and data-driven.
Whether you’re analyzing terabytes of clickstream data, processing complex financial transactions, or mining customer feedback for insights, the Trino + Wren AI integration gives you the keys to unlock the full potential of your data. The future of big data analytics is here — fast, easy, and powered by AI.
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Welcome to a new era of big data exploration — accessible, efficient, and AI-driven.
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