What is Edilitics Transform, and why does it matter?

Edilitics Transform is the engine that takes raw, integrated data and makes it usable for analytics, dashboards, and AI - without code, without engineering bottlenecks, and with full governance. It’s not just “visual ETL” - it’s a governed, production-grade transformation layer built to handle real-world complexity with clarity and speed.

Which transformation operations are supported, and are they truly no-code?

Edilitics supports a full range of transformations - data type casting, filtering, joins, aggregations, enrichments, calculated columns, and more. All core operations are fully no-code, with a point-and-click builder that’s actually usable (not a gimmick). For true edge cases, Python scripting is available, but it’s optional, never required.

Does configuring a transformation affect my live data?

No. All configuration and testing happens on an encrypted sample of up to 5,000 rows, extracted in real time from your source. The live data is untouched until you explicitly deploy a transformation flow. If you abandon or don’t save the flow, the sample is deleted - automatically and securely - within 24 hours.

Why aren’t transformations executed directly inside my database or warehouse?

Running logic inside your warehouse can be expensive, opaque, and prone to security or data staging risks. Edilitics extracts data and processes it inside isolated, short-lived VMs - so you avoid compute bloat, have no temp tables, and keep your data estate clean. More importantly: all business logic and governance remain centralized, not scattered across SQL views or stored procs.

Does Edilitics support incremental or CDC-based transformations?

No, and for good reason. Many transformation workflows require joins, group by, or business rules that cannot be reliably computed incrementally without risking stale or incorrect outputs. By running each transformation as a fresh, full extract, Edilitics guarantees accuracy, auditability, and data lineage - critical for analytics and compliance. No guesswork, no silent breakages.

Is any data stored or staged in Edilitics during transformation?

Never. Aside from the short-lived sample used for flow setup (see above), no customer data is ever stored, staged, or retained after a transformation completes. Every job runs in a dedicated, ephemeral VM that’s destroyed on completion - eliminating lingering data risk or surface area for attack.

How do I validate my transformation logic before pushing to production?

Every operation in your flow is previewed on the live sample. You can inspect outputs, debug errors, and iterate as needed before the workflow is saved or deployed. This “preview-first” approach catches logic errors, schema mismatches, and data surprises before anything is committed.

How is compute consumption measured and managed in Edilitics Transform?

Each transformation run is metered down to the second, based on the resources used. You can track usage in real time, get alerts before limits are hit, and purchase additional compute minutes on demand - no forced upgrades, hidden throttling, or unpredictable costs.

What happens if a transformation fails or data is unavailable?

Edilitics fails fast and transparently. If your source schema changes or a job errors out, the pipeline is paused and you’re instantly alerted via app, email, or Slack (if configured). There are no silent failures or ambiguous partial runs; detailed logs enable quick root-cause analysis and remediation.

Can non-technical users automate and govern transformation workflows?

Yes. The entire transformation process - from flow creation to scheduling, monitoring, and auditing - is 100% no-code and role-based. Admins can delegate access, lock down sensitive flows, and ensure governance is enforced at every stage. You don’t need engineering resources to build, manage, or troubleshoot pipelines - analytics teams and domain experts own the logic.

Transform Data - Without the Dependency Chains

No-code when you want it. Custom logic when you need it. All in one pipeline.

Edilitics lets your entire team shape data the way they need - fast, governed, and fully traceable. Use our visual no-code builder to clean, join, and enrich your data. Drop in custom Python logic when needed - all within the same flow. Every transformation captures shared business logic - clearly applied, fully visible, and ready to power dashboards or instant answers via AskEdi.

No backlogs. No misalignment. Just clean logic, owned by the people closest to the question.

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Hybrid Logic Engine

No-Code Meets Python

Shared Business Logic, Governed

Frictionless, Secure Data Transformation

No-Code Accuracy
Apply schema-aware cleansing, joins, and enrichment using intuitive operations - zero scripting required.
Hybrid Logic Engine
Drop in custom Python within the same flow. Blend no-code speed with code-level control when the use case demands it.
Secure & Auditable
Transforms run encrypted end-to-end with full schema validation and error handling - every change is logged and compliant.
Flexible Scheduling
Run transformations on demand, at fixed times, or using cron - all without waiting on implementation cycles.
Full Activity Logs
Track every run, every step, every operation - so teams can debug, retrace, and document transformations without guesswork.

Adaptive, Scalable, No-Code Data Transformation

Transform Without Bottlenecks. Faster, Smarter, Fully Controlled

Edilitics streamlines data transformation with an automation-first, no-code approach. Modify, enrich, and structure data with pre-built transformations - no scripting required for most use cases.

When you need precision or edge-case control, drop in advanced Python scripts and apply intelligent validation - all within a scalable, high-performance environment.

Define Your Transform Flow
Choose your input and output systems - databases, warehouses, or SaaS platforms. Set up your transformation pipeline with zero code or manual configuration.
Configure Logic & Schema
Apply no-code ops or advanced scripts to clean, structure, and enrich your data. Define schema mappings and transformation rules with full control.
Validate Output & Accuracy
Run schema-aware validation, preview transformations, and detect anomalies before going live - so your data behaves as expected, every time.
Schedule, Monitor & Optimize
Trigger transformations on-demand, on schedule, or via events. Log every run, track errors, and fine-tune performance with full observability.

Visual + Scripted Logic in One Flow
Blend no-code operations with custom Python where needed. Build transformations collaboratively - with full control, zero friction.
Trigger, Schedule, Automate
Run transforms on demand, by schedule, or via event triggers. Execution is stateless, isolated, and production-grade.
Preview. Validate. Ship.
Preview outputs, validate schema alignment, and detect anomalies before changes go live. Confidence built in.
Ephemeral Execution, Zero Retention
Every transformation runs in an isolated VM, created just-in-time and destroyed after execution. No data is staged, stored, or retained.
Your Data Stays Yours
Edilitics connects, executes, and exits. Your data stays in your systems - always. Nothing is stored, staged, or retained by us.
Powering Dashboards, Models, and AskEdi
Every transformation feeds downstream logic - so your data isn’t just clean, it’s ready for queries, visuals, and AI-powered answers.

Hybrid Logic. Governed Output. Always Production-Ready.

Edilitics transforms raw data into usable, governed assets - without code, complexity, or bottlenecks. Teams clean, structure, and enrich data using visual operations or inline Python - all within one pipeline.

With built-in scheduling, validation, and full observability, transformations run reliably at scale - and feed every downstream module, including instant answers via AskEdi. Your data isn’t just processed - it’s prepared for action.

Frequently Asked Questions

Edilitics Transform is the engine that takes raw, integrated data and makes it usable for analytics, dashboards, and AI - without code, without engineering bottlenecks, and with full governance. It’s not just “visual ETL” - it’s a governed, production-grade transformation layer built to handle real-world complexity with clarity and speed.
Edilitics supports a full range of transformations - data type casting, filtering, joins, aggregations, enrichments, calculated columns, and more. All core operations are fully no-code, with a point-and-click builder that’s actually usable (not a gimmick). For true edge cases, Python scripting is available, but it’s optional, never required.
No. All configuration and testing happens on an encrypted sample of up to 5,000 rows, extracted in real time from your source. The live data is untouched until you explicitly deploy a transformation flow. If you abandon or don’t save the flow, the sample is deleted - automatically and securely - within 24 hours.
Running logic inside your warehouse can be expensive, opaque, and prone to security or data staging risks. Edilitics extracts data and processes it inside isolated, short-lived VMs - so you avoid compute bloat, have no temp tables, and keep your data estate clean. More importantly: all business logic and governance remain centralized, not scattered across SQL views or stored procs.
No, and for good reason. Many transformation workflows require joins, group by, or business rules that cannot be reliably computed incrementally without risking stale or incorrect outputs. By running each transformation as a fresh, full extract, Edilitics guarantees accuracy, auditability, and data lineage - critical for analytics and compliance. No guesswork, no silent breakages.
Never. Aside from the short-lived sample used for flow setup (see above), no customer data is ever stored, staged, or retained after a transformation completes. Every job runs in a dedicated, ephemeral VM that’s destroyed on completion - eliminating lingering data risk or surface area for attack.
Every operation in your flow is previewed on the live sample. You can inspect outputs, debug errors, and iterate as needed before the workflow is saved or deployed. This “preview-first” approach catches logic errors, schema mismatches, and data surprises before anything is committed.
Each transformation run is metered down to the second, based on the resources used. You can track usage in real time, get alerts before limits are hit, and purchase additional compute minutes on demand - no forced upgrades, hidden throttling, or unpredictable costs.
Edilitics fails fast and transparently. If your source schema changes or a job errors out, the pipeline is paused and you’re instantly alerted via app, email, or Slack (if configured). There are no silent failures or ambiguous partial runs; detailed logs enable quick root-cause analysis and remediation.
Yes. The entire transformation process - from flow creation to scheduling, monitoring, and auditing - is 100% no-code and role-based. Admins can delegate access, lock down sensitive flows, and ensure governance is enforced at every stage. You don’t need engineering resources to build, manage, or troubleshoot pipelines - analytics teams and domain experts own the logic.

Transform Data - Without the Dependency Chains

Frictionless, Secure Data Transformation

No-Code Accuracy

Hybrid Logic Engine

Secure & Auditable

Flexible Scheduling

Full Activity Logs

Adaptive, Scalable, No-Code Data Transformation

Define Your Transform Flow

Configure Logic & Schema

Validate Output & Accuracy

Schedule, Monitor & Optimize

Visual + Scripted Logic in One Flow

Trigger, Schedule, Automate

Preview. Validate. Ship.

Ephemeral Execution, Zero Retention

Your Data Stays Yours

Powering Dashboards, Models, and AskEdi

Hybrid Logic. Governed Output. Always Production-Ready.

Frequently Asked Questions