What is RATH?

RATH is an advanced analytics platform that leverages artificial intelligence to facilitate data exploration and visualization with a single click. It acts as an AI assistant for data analysis, automatically uncovering patterns, insights, and causal relationships within your datasets.

What Makes RATH Unique?

RATH stands out due to its fully automated data exploration capabilities, which allow users to quickly identify insights and patterns. It also analyzes causal relationships between variables, enhancing productivity in data wrangling and analysis.

Key Features

• Fully automated data exploration and visualization
• Identifies insights and patterns in datasets
• Analyzes causal relationships among variables
• Functions as an AI assistant for data analysis
• Enhances productivity in data management and analysis

Pros & Cons Table

Who is Using RATH?

RATH is tailored for:

• Data analysts and scientists
• Business analysts
• Marketing analysts
• Financial analysts
• Healthcare analysts
• Anyone engaged in data exploration and analysis

It enhances human capabilities in data analysis, enabling both experts and non-technical users to swiftly derive insights from their data.

Support Options

For assistance, you can reach out to the RATH support team via email at support@kanaries.org or initiate a conversation through the in-app chat feature.

Pricing

RATH offers tailored enterprise plans. For detailed pricing information, please contact the RATH sales team.

Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official RATH website.

Integrations and API

RATH integrates seamlessly with databases such as MySQL, PostgreSQL, Snowflake, and data warehouses like Redshift and BigQuery. Additionally, it provides a Python API for incorporating analysis features into your applications.

FAQ

• Is there a free trial available? Yes, RATH offers a 14-day free trial for users to experience the platform. Sign up on the pricing page.
• What are the system requirements? RATH is compatible with any modern web browser, requiring no downloads or specific hardware.
• What types of datasets can RATH process? RATH can handle numerical and categorical data in CSV, JSON, and SQL formats. Please contact us if your data is in a different format.
• Can I customize the models and algorithms used by RATH? Advanced users can adjust parameters and select different techniques through the Python API.

Useful Links and Resources

• RATH Documentation
• RATH Python API Docs
• RATH Interactive Demo