Transform and enrich data for analytics and machine learning — at scale, and across multiple sources — with a few clicks or with SQL/Python.
Transform Data for Ad Hoc Analysis and ML-Driven Insights with Ease
THE OLD WAY IS COMPLEX
- Multiple tools and steps to aggregate data and create KPI metrics
- Siloed workflows for BI data prep and ML feature engineering
- Tools and workflows not scalable for billions of rows or wide datasets
TELLIUS SIMPLIFIES DATA PREPARATION
- Unified data preparation and processing for ad hoc queries and ML/AI-driven insights
- Combines ease of point-and-click configuration and flexibility of SQL and Python transformations
- Elastic cloud scalability to support infinite amount of data
Self-Service Data Prep with Point-and-Click Ease
Tellius provides an intuitive and visual interface to blend, transform, and clean data. Dozens of pre-built, code-free data prep capabilities can automate cleansing and profiling tasks, aggregations and pivots, and custom calculations and feature engineering.
Flexibility to Use Custom SQL & Python
Tellius features in-app Python & SQL integration so you can utilize custom code to handle complex data transformations and logic that cannot be accomplished with point-and-click methods.
Data Preparation at Scale
Transform & Unify Data
- Connect to your data sources, whether you have a cloud data warehouse, data lake, applications data, files, or third-party data, to build a unified view of your business. Prepare data once, and it is ready for ad hoc exploration, insight generation, and machine learning.
Automate Data Pipelines
- Tellius automatically tracks all data prep steps in a visual data pipeline so there is clear data lineage, reproducibility, and reusability of transformations for future projects. Data refreshes can be automatically processed and trigger the generation of new, timely insights.