Q&A

What is HelloQuery?

HelloQuery is an AI-powered relational database access tool. It serves as a customer-facing report builder, allowing users to interact with their data using a familiar chat interface. Through natural language processing, it converts communicated queries into SQL for accessing databases. HelloQuery supports data analysis, real-time updates, and data visualization, while offering robust data security measures.

How does HelloQuery simplify data querying?

HelloQuery simplifies data querying by leveraging a chat-driven interface. Users can make queries about their data in a natural conversational style. Through AI technology, HelloQuery translates these queries, structured in natural language, into SQL format, enabling easy access to the attached database without the need for complicated SQL knowledge.

What does HelloQuery do with natural language and SQL?

HelloQuery uses AI technology to convert natural language into SQL. When a user submits a query in the form of a casual, natural language phrase or question, HelloQuery's AI interprets that language, structures it as an SQL command, and accesses the appropriate database. This functionality makes interacting with the database more approachable and intuitive, particularly for non-technical users.

How does HelloQuery ensure data security?

HelloQuery ensures data security by providing users with control over which data tables can be accessed, thus preventing unauthorized database interaction. Furthermore, it maintains a single SELECT statement operation, preventing unintended data modifications. It uses advanced encryption, specifically AES-256 in GCM mode, to protect user credentials. It also doesn't permanently store user data, instead allowing data to pass through its servers only during query execution.

What AI components are used in HelloQuery's data analysis?

HelloQuery uses AI technology to provide real-time updates and visualizations based on queried data. This AI-powered data analysis allows for streamlined interaction with the data and efficient generation of insights.

Can HelloQuery export selective data?

Yes, HelloQuery allows the exportation of selected data. Users can specify which columns they wish to include in their export, and HelloQuery will export the selected columns only. This provides greater flexibility and precision in handling data.

+ Show 14 more

How well does HelloQuery handle large datasets?

HelloQuery handles large datasets effectively by streaming results back to the user. This functionality lets users export large datasets without problems, ensuring seamless and efficient data handling regardless of the dataset size.

What are the customizability options in HelloQuery?

HelloQuery offers a number of customizability options. Users can create multiple dashboards to group insights and analyses by topic. Additionally, HelloQuery also provides the capability to customize the platform with the company's own branding, including the logo and company name.

What security measures does HelloQuery employ?

HelloQuery employs robust security measures. It allows users to dictate the data tables that can be accessed, hence ensuring controlled access. All queries are sanitized at the application layer to expose only the data the customers are allowed to see. HelloQuery strictly runs single SELECT statements to prevent unintended data modifications. It uses advanced encryption to protect user credentials, and it does not permanently store user data.

Does HelloQuery permanently store user data?

No, HelloQuery does not permanently store user data. According to their data security practices, the passage of user data occurs only during query execution.

How does the chat interface of HelloQuery work?

HelloQuery's chat interface leverages AI technology and natural language processing to facilitate interaction with user data. Users can ask questions about their data in the chat, and HelloQuery uses natural language to SQL to intelligently query the database as per the user's request. This interface is intuitive and friendly, making it easy to use for the non-technical user.

What are the visualization capabilities of HelloQuery?

HelloQuery offers automatic creation of visualizations based on the data and questions asked. Users can request different chart types if they wish. These visualizations help users to understand the data and identify patterns, trends, and insights more easily.

Can I create multiple dashboards in HelloQuery?

Yes, you can create multiple dashboards in HelloQuery. This functionality enables users to group analytics and insights by different topics, providing a more organized and focused way to view and interact with data.

Can I use my company's branding with HelloQuery?

Yes, HelloQuery allows users to set up custom branding for their company, including the logo and company name. This feature enhances the user experience by incorporating recognizable elements of the company's brand identity into the platform.

Can HelloQuery process real-time data updates?

Yes, HelloQuery handles real-time data updates. It leverages its AI technology to ensure that the data is always up to date and refreshed in real time.

What type of databases are supported by HelloQuery?

HelloQuery supports Postgres for customer facing chatbots and both Postgres and MySql for internal chatbots. Users connect their database directly to HelloQuery without having to replicate data or create new data models.

How can I configure customer access in HelloQuery?

You can configure customer access in HelloQuery by specifying which database tables your customers can access. You can add required tenancy filters for additional control. This ensures that customers will only be able to access the specific information they've been granted permissions for, thus maintaining data security.

Does HelloQuery's AI have context on my database schema?

Yes, HelloQuery's AI does have context on your database schema and has been custom trained for generating SQL. While the AI is not flawless, the more training data you provide, the better it can understand and respond to specific database-querying needs. You or your developer can add training data that describes each database table and column, improving the AI's accuracy.

How does HelloQuery protect my user credentials?

HelloQuery uses advanced encryption, AES-256 in GCM mode, to protect your user credentials. This encryption ensures that your access credentials remain safe and secure throughout their use within the system.

Can I improve the SQL generated by HelloQuery's AI?

Yes, you can improve the SQL that is generated by HelloQuery's AI. By adding table descriptions, you can enhance the AI's understanding of your database structure, which in turn provides more accurate, relevant, and useful SQL queries.

Ask a question

Submit

Search

HelloQuery

Releases

Pricing

Related tasks

Reviews

How would you rate HelloQuery?

Prompts & Results

Pros and Cons

Pros

View 26 more pros

Cons

View 5 more cons

7 alternatives to HelloQuery for Database Q&A

Q&A

If you liked HelloQuery

Verified tools

Related topics

Most impacted jobs