Uncomplicate Data
Create end-to-end data analytics solutions in one app that is simple to use, and self-explanatory.
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 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.
Why do you want to access beta?
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...
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...
Features of Today()+1
Available Now()