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?
Stream-Table Duality for Operational Analytics
The relentless pace of digital business transformation demands more than just new data sources—it requires new ways of thinking about data operations. As organizations strive to turn real-time events into competitive advantage, the old dichotomy of data “streams”...
High-Throughput Change Data Capture to Streams
In today’s data-driven world, enterprises demand more than raw data—they require real-time insights and uninterrupted information pipelines that keep pace with rapid innovation. For forward-thinking organizations, modern SQL Server consulting often involves extending...
Stateful Stream Processing at Scale
As organizations strive to harness real-time data for competitive advantage, stateful stream processing has become a cornerstone for analytics, automation, and intelligent decision-making. At Dev3lop LLC, we empower clients to turn live events into actionable...
Event Time vs Processing Time Windowing Patterns
In the age of real-time analytics, understanding how and when your data is processed can turn analytical chaos into strategic clarity. At Dev3lop, we empower forward-thinking organizations to cut through the noise with deep domain expertise in Microsoft SQL Server...
Watermark Strategies for Out-of-Order Event Handling
In the modern, data-driven landscape, organizations are redefining how they process information — and out-of-order event streams often lead the parade of complexity. At Dev3lop, our PostgreSQL consulting services frequently illuminate how event-time semantics and...
Exactly-Once Delivery Guarantees in Distributed Streams
In the dizzying world of real-time data, precision isn't just a virtue—it's a necessity. From financial transactions and IoT telemetry to user activity tracking, enterprises increasingly rely on streaming architectures where split-second decisions depend on accurate,...
Backpressure-Aware Flow Control in Event Pipelines
In today’s world of real-time data streams and cloud-native architectures, uninterrupted velocity is the ambition—but not the reality. For modern businesses, a single bottleneck in your event pipeline can cascade downstream, delaying insights and disrupting...
Ultra-Low-Latency Stream Ingestion Pipeline Design
In a digital landscape where milliseconds make the difference between a delightful user experience and a catastrophic system failure, designing for ultra-low-latency in stream ingestion pipelines is no longer optional—it's a strategic necessity. At Dev3lop LLC, we...
Machine Learning Model Interpretability Through Advanced Visualization
YIn today's rapidly evolving era of artificial intelligence, businesses evolve at the pace their data flows. Machine learning (ML) models unlock unprecedented opportunities for innovation and growth. Yet their black-box nature often leaves executives and stakeholders...