Datayaki is a data analytics tool that allows users to create widgets by simply asking questions. It eliminates the need to write SQL queries or Excel macros, making it easy to obtain quick answers using plain English.
The tool performs all analysis within the user's browser or backend, ensuring privacy as it only relies on the structure of the data, not its content.Datayaki supports multiple data formats, including Excel spreadsheets on your desktop and SQL databases in the cloud.
It also offers built-in support for XLS and CSV files, allowing users to analyze data across multiple spreadsheets simultaneously.One of the key features of Datayaki is its explainable AI, which provides trust and explainability.
The tool can explain its analysis, and users can guide it if it doesn't get things right. Additionally, Datayaki offers end-to-end encryption for secure collaboration, allowing users to share dashboards and analyses with peers while ensuring data remains accessible only to authorized collaborators.For those preferring SQL or NoSQL databases, Datayaki provides connectors for popular platforms such as Firebase, Postgres, Supabase, Snowflake, and more (availability may vary).Overall, Datayaki is a user-friendly data analytics tool that simplifies the process of obtaining insights by allowing users to ask questions in plain English, handling various data formats, ensuring privacy, and providing explainable analysis.
Supports multiple data formats, including Excel spreadsheets and SQL databases.
Allows users to analyze data by asking questions in plain English, eliminating the need for SQL queries.
Ensures data privacy by performing analysis within the user's browser and not accessing data contents.
Provides explainable AI features, allowing users to understand the AI's reasoning and guide it when necessary.
Offers end-to-end encrypted collaboration for securely sharing dashboards and analyses with peers.
Analyze data from multiple formats, including Excel spreadsheets and SQL databases, without needing to write SQL queries.
Use plain English to ask questions and receive insights from data, simplifying the analysis process.
Maintain data privacy by ensuring that all analysis occurs within the user's browser, without external access to data contents.
Collaborate securely by sharing dashboards and analyses with peers while keeping data end-to-end encrypted.
Connect to various databases, including Firebase, Postgres, Supabase, and Snowflake, for flexible data analysis options.
Supports multiple data formats, including Excel and SQL databases, allowing for versatile data analysis.
Enables users to find insights using plain English, eliminating the need for SQL knowledge.
Ensures data privacy by performing analysis within the user's environment without accessing the data contents.
Provides explainable AI features, allowing users to understand and guide the analysis process.
Facilitates secure collaboration with end-to-end encryption for shared dashboards and analyses.
