DataLang — Query Databases with Natural Language
DataLang is a conversational search interface for querying databases in natural language for business professionals
DataLang is a conversational business intelligence platform that allows users to query databases using natural language instead of complex SQL code. This tool is built specifically for business owners, department heads, and analysts who need immediate answers from their data without waiting for a technical team to write scripts. By connecting directly to your data sources, DataLang translates English questions into precise database queries and returns visualizations or raw data instantly. The platform provides a user-friendly interface where team members can ask about revenue trends, customer behavior, or inventory levels as if they were chatting with a colleague. DataLang handles the heavy lifting of natural language processing to ensure that even non-technical staff can perform deep data exploration. You can customize search queries and save frequent reports to streamline recurring 2026 business reviews. Using DataLang helps organizations democratize data access across different departments like marketing, sales, and operations. Marketing professionals use it to extract campaign insights from large datasets, while founders use it to stay updated on core business metrics in real-time. This reduces the friction typically associated with data-driven decision-making. You can explore how this tool fits into your current stack by visiting surfai.app today. The service operates on a freemium model, providing a free tier for initial testing with paid plans available for increased query limits and additional data warehouse connections. Pricing for professional use starts at approximately $24 per month.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | PostgreSQL, MySQL, Supabase, Google BigQuery_n_a, Slack |
| Best for | founders, data-analysts, marketing-teams, business-owners |
| Website status checked | 2026-10-19T12:01:36.353+00:00 |
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