
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.
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Bloom Filters & HyperLogLog: Fast Probabilistic Structures
In today's data-driven world, speed, efficiency, and accuracy aren't merely desirable—they're essential. As data volumes explode exponentially, traditional strategies to manage vast datasets encounter significant bottlenecks. Enter probabilistic data structures like...
Multimedia Pipelines: Extracting Metadata from Binary Blobs
In a digital-first world, multimedia is a core foundation of nearly every business-savvy decision—whether you're streaming high-definition videos, analyzing user-generated photos, or processing audio files for marketing insights, extracting and managing metadata from...
Strangler Fig Refactor: Modernizing Legacy Batch Systems
Imagine a bustling city where modern skyscrapers coexist with aging structures, their foundations creaking under the weight of time. Legacy batch systems in your technology stack are much like these outdated buildings—once strong and essential, now becoming...
Tumbling vs Sliding: Choosing the Right Streaming Windows
Stream processing—where data flows continuously and demands instant analysis—is the heartbeat of modern, real-time data ecosystems. As decision-makers in today’s dynamic business landscapes, your organization's ability to interpret data at the speed it arrives...
Saga Pattern: Orchestrating Long-Running Transactions
Imagine guiding an orchestra through a complex symphony—each musician performing their part seamlessly, harmonized into a coherent masterpiece. The Saga Pattern brings this orchestration to software architectures, enabling organizations to confidently manage...
JSON Hell: Schema Validation for Semi-Structured Payloads
JSON has become the lingua franca of data interchange on the web. Lightweight and flexible, JSON is undeniably powerful. Yet this very flexibility often encases applications in a schema validation nightmare—what software engineers sometimes call "JSON Hell."...
Scatter-Gather: Distributing Work and Reassembling Results
In a digitally transformed world, the volume of data organizations encounter daily is staggering. Decision-makers grapple with exponentially increasing complexities, requiring innovative solutions to effectively distribute workloads and synthesize outcomes. Enter the...
Homomorphic Computing Primer: Crunching Encrypted Bits
Imagine a world where your organization's most sensitive data could remain encrypted at all times, yet still be actively computed, analyzed, and transformed. This is the bold promise homomorphic computing offers — a future-proof approach that allows insight generation...
Fan-Out / Fan-In: Parallel Processing Without Chaos
Imagine orchestrating the morning rush hour in a bustling city, each commuter representing a piece of data heading rapidly through interconnected streets, all converging towards well-defined destinations. Without careful planning and management, chaos reigns supreme....
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