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ET1.3 Change Log | Version #3

We’ve introduced a wide range of new features since our last update, and we’re excited to highlight the most impactful improvements to the ET1 analytics...

· Dev3lop Team

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We’ve introduced a wide range of new features since our last update, and we’re excited to highlight the most impactful improvements to the ET1 analytics platform.

Platform Updates

New Nodes in ET1

Date Filter Flexible filtering options including relative dates, ranges (between), and before/after logic—making time-based analysis far more intuitive.

New Visualizations

  • Sankey Diagrams for understanding flow and relationships

  • Treemaps similar to Power BI—without the cost or wonky UX, plus sankey diagram

  • Line Charts with built-in trend lines, forecasting, and upper/lower confidence bands

Enhanced Treemap Views Our treemap capabilities have evolved significantly:

  • Expandable branches by dimension

  • Automatic WoW / MoM / QoQ / YoY calculations

  • Built-in sparklines and bar indicators

  • Intelligent date filter handling

Treemap + Sankey Hybrid A new visualization born from our treemap development:

  • Combines hierarchical structure with flow mapping

  • Displays % of total and directional movement

  • Includes all comparative metrics (WoW, MoM, QoQ, YoY), sparklines, and bars

  • Seamlessly integrates with date filtering

New Features

Consolidation Tree Organization When consolidating nodes, ET1 now automatically restructures child nodes for clarity. This is especially useful for large ETL pipelines and complex data workflows that can otherwise become difficult to manage.

Best Practices from Real Client Usage

Through hands-on implementation, we’ve learned where ET1 delivers the most value:

  • ET1 excels at pushing disconnected data systems into structured, repeatable workflows

  • It’s especially powerful when systems don’t naturally integrate or lack native connectors

  • If your data is difficult to connect, it may be time to re-evaluate your data warehousing strategy

If you’re not yet warehousing your data, ET1 can help bridge gaps—but the right architecture still matters.

Workflow Guidance

  • ET1 supports 200+ nodes per workflow, but we recommend staying between 30 and 100 for ease of comprehending

  • Only load what you need—ET1 intentionally limits previews (top 5 rows, 10 columns) to optimize performance

  • If a workflow is one-time use, export to CSV and start fresh rather than overloading existing pipelines

Pro Tip Don’t over-engineer pipelines. ET1 is designed to simplify—not accumulate unnecessary steps.

Why ET1 Works

ET1 is built to:

  • Accelerate decision-making by reducing ETL complexity

  • Enable collaboration across technical and non-technical users

  • Make data workflows accessible to business stakeholders—not just engineers

Legacy ETL tools often create barriers due to complexity. ET1 removes those barriers.

The Changing ETL Landscape

The ETL and BI market is shifting rapidly.

Traditional tools like Alteryx, Tableau, and Power BI are facing pressure as LLMs and lightweight scripting solutions reduce the need for expensive, rigid platforms.

Many organizations are rethinking six-figure SaaS investments in favor of:

  • Flexible, script-driven workflows

  • Lower-cost infrastructure

  • Tools that adapt quickly to modern data needs

Legacy platforms remain:

  • Expensive (often $100K+ annually at scale)

  • Fragmented (desktop vs. server licensing)

  • Built on outdated architectures

How ET1 Stands Apart

1. Built by a Practitioner ET1 was created by someone who has implemented these tools in real production environments—not just engineered them in isolation. We didn’t pluck this from another company, this was built after 100+ data consulting engagements.

2. Simplicity Over Certification Unlike legacy platforms that require constant training and certifications, ET1 focuses on intuitive usability and rapid adoption.

3. Modern Architecture

  • Built using modern frameworks (Node.js, Electron)

  • Cross-platform by default

  • Local-first with embedded database support

4. Transparent and Accessible

  • Free to use and available on GitHub

  • No hidden licensing tiers

  • No forced upgrades or feature gating

5. Cost Model That Makes Sense ET1 follows a usage-based approach:

  • Pay for storage and compute only when needed

  • No per-user licensing fees

  • No expensive “unlock” costs for collaboration

Final Thoughts

ET1 was built to unify ETL, analytics, data science, and AI into a single canvas—reducing fragmentation and lowering the barrier to entry.

Where legacy tools add layers of cost and complexity, ET1 focuses on clarity, speed, and accessibility.

If your team is looking for a simpler, more modern alternative—ET1 is designed to help you move faster without the overhead.

If you want, I can tighten this further into a LinkedIn post, landing page, or sales one-pager depending on how you plan to use it.