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?
Binary at Scale: Bit-Level Tricks for Massive Files
The digital world revolves around data—data capturing, storage, movement, and analysis. As file sizes balloon into terabytes and petabytes, managing massive data efficiently isn't just a preference; it’s a strategic imperative. Every inefficiency amplifies at scale,...
Poison Pill Messages: Stopping Bad Data Before It Spreads
Imagine data as the bloodstream of your organization—essential to keeping operations healthy, decisions accurate, and innovation flowing. Just like toxins circulating unchecked in your bloodstream can threaten your health, bad data can quietly seep into systems,...
Variable-Length Records in Fixed-Width Lands
In the intricate world of data management, the manner by which you structure your information can make or break the efficiency of your technology stack. As decision-makers strive to harness the power of their growing data assets, understanding variable-length and...
Back-Pressure & Rate Limiting: Protecting Downstream Systems
In today's hyperconnected, innovation-driven digital landscape, companies across every industry grapple with immense volumes of data streaming through intricate software architectures. Decision-makers face the imperative to build robust and resilient digital...
Windowed Joins: State Stores Done Right
In today's data-driven landscape, the ability to harness event streams in real-time is a growing must-have business capability. Analytics capabilities that once were the domain of specialized "big data" teams are now expected to deliver value immediately. Amidst this...
Bulkhead Pattern: Fault Isolation for Streaming Apps
In today’s complex digital ecosystems, streaming applications have shifted from being beneficial tools to mission-critical platforms. Businesses increasingly rely on these real-time data integrations to deliver insights, automate processes, and predict operational...
Multi-Tenant Workloads: Isolation Without Losing Performance
Picture orchestrating a bustling city where thousands of tenants live harmoniously within a limited space. Each resident expects privacy, security, and individualized services, even as they share common infrastructures such as electricity, water, and transportation....
Keep It Local: Data Locality Principles for Faster Analytics
In the fast-paced arena of data-driven decision-making, organizations can't afford sluggish data analytics that hinder responsiveness and innovation. While computation power and storage scale has exploded, just throwing processing horsepower at your analytics won't...
Exactly-Once vs At-Least-Once: Error Recovery Trade-Offs
In the fast-paced, data-centric business landscape of today, leaders stand at the crossroads of complex decisions affecting systems reliability, efficiency, and data integrity. Understanding how data moves and how it recovers from errors can mean the difference...