Uncomplicate Data
ET1, for humans who hate complex
No ET phone home.
Data Inputs
CSV, JSON, and Github CSVs. Extract the data.
Filters
Filter by measure, use regex, wild cards, across your data.
Merge
Inner join, left join, stack with union, and concat columns.
Aggregate
Minimum, maximum, mean, sum, and yes, group by.
Streaming
Flow data downstream. Never click run.
Consulting
Expert help.
Keep it Simple.
About ET1
ET1 is a visual data workbench that lets you explore, clean, and explain data in-memory. Built for non-technical humans, (but developer friendly) who want to wrangle data, without complexity.
Create
Hands-on ETL
Training Documentation
Use the training material to help you understand more about ET1 and how it helps solve data wrangling problems.
ET1 Basic Training
If you need help getting started, begin here.
ET1 Video Training
Learn the basics, the features, and more.
Future Insight
We see the future being focused on adoption, training, and creating Easy Tools for anyone. We are building an emerging technology while also maintaining a creative user experience that is inviting and friendly for all ages.
Inspiration
We are inspired by software, video games, and Sci-Fi movies like The Matrix, Minority Report and Ironman. ET1 is created to be “some-what” similar to other legendary software like Alteryx Desktop, and KNIME Analytics Platform.
Join beta.
Why do you want to access beta?
Intelligent Data Routing Based on Content Analysis
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Upsert Implementation Patterns in Various Data Stores
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Implementing Slowly Changing Dimensions in Modern Data Platforms
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Schema Registry Integration for Pipeline Data Validation
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Responsive Visualization Design for Multi-Device Analytics
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Small Multiples Implementation for Comparative Analysis
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Color Harmony Theory Applied to Data Visualization Palettes
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Choosing the Right Chart Type for Your Data
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Explainable Data Lineage: Tracing Field-Level Transformations
In the age of data-driven decision making, clarity, integrity, and transparency of your data have never been more critical. Yet, as organizations evolve and scale, so does the complexity of data operations. Decision-makers and data teams face the daunting task of...