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?
Chain of Responsibility: Flowing Errors Downstream
Imagine you're building a data pipeline, intricately crafting each phase to streamline business intelligence insights. Your analytics stack is primed, structured precisely to answer the questions driving strategic decisions. But amid the deluge of information...
Approximations vs Accuracy: Speeding Up Heavy Jobs
In today's data-driven world, businesses chase perfection, desiring pinpoint accuracy in every computation and insight. However, encountering large-scale datasets and massive workloads often reminds us of an inconvenient truth—absolute accuracy can be costly in terms...
Visitor Pattern: Traversing Complex Schemas
In the fast-paced era of digital transformation, organizations are inundated with vast amounts of data whose structures continually evolve, often becoming increasingly complex. Technological decision-makers frequently face the challenge of efficiently navigating and...
Quantiles at Scale: Percentiles Without Full Sorts
In today's data-driven landscape, quantiles and percentiles serve as integral tools for summarizing large datasets. Reliability, efficiency, and performance are paramount, but when data reaches petabyte scale, calculating these statistical benchmarks becomes...
Template Method: Standardizing Workflow Blueprints
In today's fast-paced technology landscape, businesses face unprecedented complexities, rapid evolutions, and increasingly ambitious goals. Decision-makers recognize the critical need to standardize processes to maintain clarity, drive efficiency, and encourage...
Fingerprints & Checksums: Ensuring Data Integrity
In an age dominated by radical digital innovation, safeguarding your organization's critical data has become more crucial than ever. Data integrity forms the bedrock of reliable analytics, strategic planning, and competitive advantage in a marketplace that demands...
Builder Pattern: Crafting Complex Transformations
The software world rarely provides one-size-fits-all solutions, especially when you're dealing with data, analytics, and innovation. As projects evolve and systems become increasingly complex, merely writing more lines of code isn't the solution; clarity, modularity,...
Real-Time Outlier Detection in Streaming Engines
Imagine being able to detect anomalies in your data as they occur, rather than discovering them too late after business decisions have already been impacted. In an era defined by real-time responses, the ability to quickly identify outliers in streaming data is no...
Singleton Services: When One Instance Is Plenty (or Not)
The concept of running software applications on a single instance—commonly known in technology circles as a "singleton"—can seem both straightforward and deceptively appealing. At first glance, using a singleton might sound like an efficient way to streamline your...