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?
Sub-Second Alerting Pipelines for Operational Signals
In today’s hyper-competitive, digitally transformed landscape, operational latency is the new technical debt—and every second (or millisecond) delayed in surfacing actionable signals impacts revenue, reliability, and user experience. At Dev3lop LLC, we architect and...
Event-Driven Microservices with Persistent Logs
Imagine a digital ecosystem where applications respond to business events instantly, where data is always consistent and traceable, and where scaling horizontally is the norm, not the exception. At Dev3lop LLC, we thrive at the intersection of agility, analytics, and...
Real-Time Feature Extraction for Online ML Scoring
In the era of relentless digital acceleration, decision-makers are under mounting pressure to leverage every data point—instantly. The competitive landscape demands more than just machine learning; it requires the ability to extract, transform, and act upon raw data...
Adaptive Autoscaling for Variable Event Rates
In the fast-evolving landscape of real-time data, managing unpredictable event rates is more than just a technical feat—it's a strategic advantage. At Dev3lop, we help companies leverage adaptive autoscaling to meet volatile demands, optimize costs, and drive...
Streaming Join Optimization Across Heterogeneous Sources
The era of high-velocity, multi-source data is redefining enterprise analytics and intelligence. As more organizations invest in robust data engineering and real-time insights, the challenge of executing performant streaming joins across heterogeneous sources has...
Sliding and Tumbling Window Metric Computation
In the fast-evolving landscape of data-driven decision-making, tracking time-based metrics reliably is both an art and a science. As seasoned consultants at Dev3lop, we recognize how organizations today—across industries—need to extract actionable insights from...
Hot Path vs Cold Path Real-Time Architecture Patterns
In today’s data-fueled world, the shelf life of information is shrinking rapidly. Decisions that once took weeks now happen in minutes—even seconds. That’s why distinguishing between “Hot Path” and “Cold Path” data architecture patterns is more than a technical...
Edge Device Event Aggregation and Uplink Streaming
Edge computing solutions are rapidly reshaping how businesses manage high-velocity data ecosystems. With countless IoT devices and sensors generating a relentless flow of events, the capacity to aggregate, filter, and transmit critical information to cloud or data...
Checkpointing and Recovery for Continuous Dataflows
In the era of real-time analytics and lightning-fast data pipelines, ensuring resilience and reliability is not just advantageous—it’s imperative. For every organization racing to turn continuous data streams into business insights, the risk of data loss or service...