
Uncomplicate Data
Create end-to-end data analytics solutions in one app that is simple to use, and self-explanatory.
About ET1
ET1 is a visual data workbench that lets you explore, clean, and explain data solutions.


- Access ET1
- Unlock 24 nodes
- Free ETL software
- Desktop friendly
- Code on GitHub iCore utilities, UI pieces, and node definitions live in the public repository so you can review how processing works.
- No storage
- ET1.1 + GitHub OAuth
- Unlock 29 nodes
- Workflows + Neon LakeiNeon Lake is the persistent store for workflow data and results. The free tier has no storage. This tier includes limited storage and 1 branch.
- 100/CU-monthiCU = Compute Unit. An internal measure we use to track processing cost across transforms.
- 500 MB storageiStorage in Neon Lake for tables and results. Retention policies may apply while we tune usage.
- 1 BranchiThis tier includes a single branch only.
- ET1.1 + GitHub OAuth
- Unlock 29 nodes
- Workflows + Neon Lake
- $0.28/CU-houriMetered compute beyond included quota. Priced per compute-hour equivalent derived from CU usage.
- $0.46/GB-monthiNeon Lake storage billed by logical GB-month. We may introduce archival tiers.
- 3 BranchesiEach branch has isolated CPU and storage. You only pay for the delta (the difference) between branches.
- SOC 2 • HIPAA • GDPR
- Regional locations
- User-level pricing
- $0.52/CU-hour
- $0.49/GB-month
- 10 Branches
- Unlimited databases & tables
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.
Join beta.
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Real-Time Outlier Detection in Streaming Engines
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Singleton Services: When One Instance Is Plenty (or Not)
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Temporal Pattern Matching in Time-Series
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