Raw Query
About Raw Query
Raw Query revolutionizes data management by allowing users to communicate with databases in plain English. This intuitive tool eliminates the need for coding, making it accessible for all. Designed for professionals in business intelligence and developers, Raw Query enhances productivity by simplifying data interactions.
Raw Query offers flexible pricing plans to suit various needs, starting with a free tier. The Starter plan includes 1,500 queries/month for $39, while the Pro plan at $79 increases to 5,000 queries/month. The Team plan, at $149, provides 20,000 queries and unlimited seats, perfect for growing teams.
Raw Query features a sleek and user-friendly interface that streamlines data interaction. The layout is designed for seamless navigation, making it easy for users to access key features. Its intuitive design enhances user experience, ensuring that anyone can chat with their databases effortlessly.
How Raw Query works
Users begin by pasting their database connection string to onboard Raw Query. Once connected, the platform allows effortless communication with the database in natural language. Users can perform tasks like querying data, adding new entries, or updating existing information without needing complex coding skills.
Key Features for Raw Query
Natural Language Processing
Raw Query's standout feature is its natural language processing capability, allowing users to interact with databases conversationally. This unique aspect transforms complex data queries into simple questions, enhancing user engagement and productivity by removing the coding barrier usually associated with database management.
Data Insertion and Update
Another key feature of Raw Query is its ability to insert and update database records seamlessly. Users can manage data changes effortlessly by confirming actions in plain language, which saves time and reduces the reliance on software development, making data management accessible for all.
Multiple Database Support
Raw Query distinctly supports multiple databases, including Postgres, MySQL, and MariaDB. This flexibility allows users to interact with diverse data systems and manage their workflows efficiently, connecting various business processes all in one platform, accelerating decision-making, and enhancing overall productivity.
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