Fluent
Formerly known as Channel, Fluent is an AI tool that lets users easily and securely connect multiple data sources and get meaningful insights and answers to questions.
The process is as easy as this: connect your database(s), ask a question, get the answer and data insights with beautiful visualization.
Fluent includes a comprehensive set of features such as a query builder, data visualizations, and automated data processing. Said query builder allows users to create queries in a simple, intuitive interface. Further, (beautiful) data visualizations let users explore and analyze data, while automated data processing allows them to process data quickly and accurately.
Fluent is collaborative from the ground up so that you and your team can work together to build the best products. It also offers a Slack group for users to communicate and collaborate with other users.
Currently, Fluent supports connections to Snowflake, BigQuery, AWS Redshift, Databricks, PostgreSQL, MySQL, and MariaDB.
Video Overview ▶️
What are the key features? ⭐
- Query in plain English: No matter how complex your warehouse is, Fluent learns how to get the answers you need from just plain English.
- Fancy visualisation: Fluent automatically generates beautiful visualizations for your data and picks the right chart type based on your preferences.
- Self-service: Fluent is designed to be used by anyone, from analysts to product managers. No more waiting for the data you need.
- Knowledge combined: Fluent learns from every question it's ever asked and prompts you to ask the questions that really matter.
- Team support: Fluent is collaborative from the ground up, so you and your team can build the best products together.
Who is it for? 🤔
Examples of what you can use it for 💭
- Get the answers you need without knowing SQL
- Put your data to good use
- Make fancy visualization from your own data
- Connect diverse data sets and get meaningful insights
Pros & Cons ⚖️
- Query in plain English and let Fluent figure it out
- Automatically generated visualizations for your data
- You can use your own S3 bucket to store query results
- Some users might miss support for MS SQL Server and Oracle
