FAQ from DataLang
What is DataLang?
A secure, AI-native layer that lets anyone — technical or not — interrogate databases using natural language, with zero SQL required after initial setup.
How do I get started with DataLang?
1) Connect your database, 2) Define safe, reusable data views (SQL optional), 3) Configure your AI assistant’s tone and scope, 4) Share the chat link or embed it anywhere.
Do I need to know SQL to use DataLang?
You only need basic SQL to set up initial views (or work with your DBA). Once configured, end users ask questions in plain English — no technical skills needed.
How does DataLang protect my data?
Your data never leaves your infrastructure. All processing occurs in your VPC or private cloud. We enforce TLS encryption, RBAC, query sandboxing, and optional on-prem deployment — with SOC 2 readiness in progress.
Which databases does DataLang support?
PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift, DuckDB, and any database with a JDBC/ODBC driver — with new connectors added quarterly.
Can I customize the AI’s responses or branding?
Yes. Fine-tune response style (concise vs. detailed), inject business glossary terms, add custom answer templates, and fully white-label the UI — colors, logo, domain, and voice included.
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