Zing

Zing offers a modern, everywhere-accessible business intelligence solution, allowing users to quickly and efficiently interact with data. It features a flexible visual query builder that enables users to gain insights from any location, whether through a phone or browser, without the need for desktop software, SQL knowledge, or a data scientist. Users can interact with data by tapping on tables, fields, or calculations for immediate results.

Zing is enhanced by natural language processing, powered by OpenAI, offering various modes of interaction such as dictation from a phone, typing questions in natural language, visual querying, and advanced SQL typeahead capabilities. Real-time alerts and intelligence are a key feature, providing push alerts and emails when data reaches a specified threshold or undergoes changes, with alert checks ranging from every minute to once a month.

Location-based querying is another notable functionality, enabling users to perform queries based on their current location using just a few taps on their phone. This feature supports visualization on maps and interaction with data points to view aggregations and metadata, with options to filter results around a fixed address or the user’s current location.

Collaboration is central to this tool, facilitating shared questions and learning within teams. Features like @mentions, push notifications, shared chat, and the ability to build upon shared questions enhance team communication and data utilization. The tool also offers options for external sharing or embedding capabilities for accessing data outside the user's domain or for public datasets.

The tool supports a wide range of data sources including Postgres, Snowflake, mySQL, BigQuery, Google Sheets, and others. It allows seamless integration of multiple data sources, maintaining a unified, searchable view with customizable visibility for tables.

Visualizations are made smarter and more responsive to the user's data types. It offers automatic query optimization for quick results, notifications for long-running queries, and the ability to access underlying data tables easily. Users can perform full SQL queries with smart typeaheads and export graphs and data tables efficiently.