Who is the target audience for NLSQL?
NLSQL is designed for employees within data teams and broader business units who need to make data-driven decisions but may lack SQL skills. It empowers non-technical users to query corporate data directly, making it suitable for roles across customer service, sales, marketing, and other business functions.
What are the key features, surfaces, and integrations offered by NLSQL?
NLSQL offers features like a natural language to SQL generator, live charts, and an answer-in-seconds interface. Its surfaces include deployment in Microsoft Teams, Slack, Web Chat, or as a standalone web app. It integrates with various structured databases such as SQL Server, PostgreSQL, SAP HANA, Snowflake, and Redshift, and is native to Microsoft Azure.
How is NLSQL priced or packaged?
NLSQL offers a free 30-day trial that runs in the user's Azure subscription and requires no credit card. The product is deployed directly from the Azure Marketplace, implying a subscription model integrated with Microsoft Azure billing.
What is NLSQL and what core business problem does it solve?
NLSQL is a B2B SaaS solution that provides an AI interface for accessing and analyzing data, solving the problem of enabling non-technical employees to make faster, data-driven decisions without SQL skills. It transforms natural language queries into SQL, allowing users to get answers from corporate data without transferring sensitive information outside the IT ecosystem.
What is NLSQL used for and in what kind of situations is it applied?
NLSQL is used for self-service data analytics and querying corporate databases in natural language. It is applied in situations where employees need to access data for business decisions, such as chatting within Microsoft Teams, Slack, or the web to get live answers and visualizations from structured databases without waiting on an analytics team.
What is NLSQL?
NLSQL is a B2B SaaS AI data analytics tool that converts natural language into SQL queries, enabling users to access and analyze corporate data through conversational interfaces like Teams, Slack, or the web, while keeping data within the corporate IT ecosystem.