Turn your data lake into a conversational interface with AI-driven Text-to-SQL and instant visualization.
DataQuestion is a 2026-market-leader in the semantic data layer space, providing an AI-native interface for complex database querying. Built on a proprietary ensemble of Large Language Models (LLMs) specifically fine-tuned for SQL dialect generation and schema mapping, the platform bridges the gap between non-technical stakeholders and data-rich environments. Unlike traditional BI tools that require manual ETL and dashboard construction, DataQuestion utilizes a RAG-enhanced metadata engine to understand table relationships and business logic in real-time. The technical architecture prioritizes security, executing queries within the user's VPC and ensuring that raw data never leaves the client's infrastructure. By 2026, the tool has expanded to include 'Agentic Data Discovery,' where the AI proactively identifies anomalies and trends without user prompting. It serves as a middle layer that translates natural language into optimized SQL, NoSQL, or GraphQL queries, making it indispensable for organizations looking to democratize data access without expanding their data engineering headcount.
Maintains a persistent vector store of company-specific terminology and metric definitions.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Advanced algorithm that resolves complex relational paths across more than 5 related tables.
Processes queries locally using metadata; actual PII data never hits the AI model provider.
Background agents that constantly scan for statistical outliers in time-series data.
Translates the generated SQL back into plain English for audit and verification purposes.
Instantly generates BI dashboards based on a single natural language prompt.
Joins data across disparate sources (e.g., PostgreSQL joined with a CSV in S3) in a single prompt.
CEOs often wait days for analysts to provide quarterly growth charts.
Registry Updated:2/7/2026
Marketing teams struggle to join ad spend data with backend conversion data.
Supply chain managers missing stock-outs due to delayed reporting.