Clean your data once.
Every module uses the same result.
Transform takes a raw source integration, runs it through 24 no-code operations or a native Python editor - both in the same pipeline - and writes governed output back to a destination integration. AskEdi queries from it. Visualize dashboards read from it. Revenue means the same thing everywhere because it was defined once in Transform. DQ scores update per column after every step so you see quality improving as you build. Schedule it and it runs automatically - every time new data lands.
of enterprise data rated untrustworthy by its own owners
26% of enterprise data is already rated untrustworthy by its own owners. Most AI analytics tools assume your production data is clean and query it directly. It is not.
The real cost is inconsistency. Your CFO's revenue number and your CMO's revenue number come from different queries against the same dirty source - and they never match. Transform encodes the definition once, writes governed output to a destination Integrate connection, and every module that reads from it gets the same answer. Automatically. Every day.
Seamless True-Hybrid Orchestration
24 Visual Operations.
One Native Code Editor.
24 no-code visual operations and a native Code Editor in the same pipeline. Data flows should never hit a no-code wall. When standard operations fall short, insert a Code Editor node at any position and hand your dataframe directly to custom logic, then back to the visual sequence.
Native Code Editor
The No-Code Escape HatchWhen standard operations are insufficient - proprietary logic, custom cryptography, or niche math - seamlessly insert a Code Editor node anywhere in the visual sequence.
- Accepts custom Python (Polars-compatible)
- Executes in isolated serverless container
- Automatically passes mutated schema downward
Structural Engineering
Relational & Math
Cleaning & Formatting
Temporal Operations
Ordering
Type-Aware Operation Gateways
Every column is implicitly typed on ingestion - DateTime, Scalar, String, or List. The builder actively blocks impossible configurations: no mean on a string, no regex on a number.
Pipeline DQ Intelligence
Quality Scores At Every Step -
Build-Time And Run-Time.
Every pipeline run scores data quality before and after execution, so the dashboards your CFO sees reflect clean, validated data, not silently degraded rows. During construction, every operation surfaces a real-time DQ delta so engineers see quality impact at each step before writing to production.
Run-Level DQ Scoring
Live now
Column-Level DQ Delta
Live now
During pipeline construction, each operation surfaces a DQ delta per affected column - so engineers see quality impact in real time, before writing to production.
Eradicating Spaghetti Pipelines
Top-To-Bottom. Always.
Never A Node-And-Noodle Canvas.
Most ETL tools force chaotic drag-and-drop canvases that only the builder understands. Transform deploys a strictly linear, form-based interface. Operations stack sequentially, making complex pipelines instantly legible to any stakeholder.
Transform
Readable by everyone
Legacy ETL Tools
Owner-only knowledge
Polyglot Orchestration
Schedule, Execute,
And Automate Translations.
Cross-database migrations shouldn't require manual type mapping. Schedule pipelines seamlessly while the engine automatically translates incompatible schemas on the fly.
Automated Schema Casting
Transforming data between structurally incompatible systems requires zero manual column mapping. The engine automatically detects destination architecture and transparently casts source datatypes.
Single-Fire
A single, non-recurring execution. Ideal for one-off data normalization jobs, test runs, or ad-hoc migrations.
Daily Interval
A simplified daily trigger at a user-defined time. All schedules are displayed as plain English on the card.
Custom Cron
A full 5-part Cron expression builder for complex requirements automatically translated into human English.
Pipeline Lifecycle
Trigger on-demand outside scheduled windows. Pause scheduled pipelines without deletion. Re-enter the operation builder to edit - actively blocked during runs to prevent mid-execution corruption.
Auditable Execution Lineage
Granular execution audit trails filterable by time window. Success rates, average runtime, and total compute seconds tracked per pipeline. Failed runs expose expandable stack-trace post-mortems.
Zero-Trust Architecture
Your Data Never Persists.
Not Even During Construction.
Building pipelines blind is dangerous. Transform materializes a cryptographically locked sandbox for real-time preview during construction - then destroys it. Execution is serverless and immediately terminated.
16,600-Row Sandbox
16,600 rows are extracted from your live source and materialized in isolated server-side memory for real-time operation previews - the same sample size used for DQ profiling.
- AES encryption with domain-level salts
- Immediate purge on pipeline save
Ephemeral Serverless
Transformation pipelines spin up transiently when triggered, apply logic in isolated memory, and are instantly destroyed upon completion.
- Zero always-on standalone servers
- Pay strictly for active milliseconds
Session-Exit Data Purge
The moment you leave a pipeline session or save your configuration, the encrypted 16,600-row preview payload is immediately and permanently deleted from the server. No transient data lingers beyond your active session.
Zero Data Vendor Lock-In
Your Warehouse.
Your Data. Always.
Transform is pure orchestration. Compute spins up ephemerally, executes your pipeline in isolated memory, writes the output directly into your destination database, and is immediately destroyed. Edilitics never holds your data.
Edilitics retains exactly one thing: the JSON configuration of your pipeline - operation sequence, column mappings, and schedule. Your data never passes through our servers, never sits in our storage, and is never sent to any AI provider. The same guarantee that Integrate enforces on connections, Transform enforces on execution. Once the governed output lands in your destination, AskEdi and Visualize read from your infrastructure - not ours.
Your Source DB
Postgres · Snowflake · BigQuery
Ephemeral Compute
Spins up → executes → destroyed
Your Destination DB
You own every byte written
Edilitics retains exactly two things
Your pipeline configuration - the operation sequence, column mappings, and schedule - and the run history and logs of each execution. No customer records. No data copies. No lock-in.
Pipeline Lifecycle
Full Control.
With Auditable Execution Lineage.
Trigger, pause, edit, reset, and duplicate pipelines with structural guardrails at every step. Every run is logged with success rates, runtime, and expandable stack-trace post-mortems on failures.
Trigger On-Demand
Fire any pipeline immediately outside its scheduled window. Compute balance validated before authorization.
Pause & Resume
Suspend scheduled runs without deleting the pipeline. Operation sequence and schedule preserved.
Edit (Run-Locked)
Configuration changes are blocked while a run is active - preventing mid-execution race conditions.
Reset to Baseline
Discard all draft changes and reinstate the last saved configuration in one click.
Duplicate
Fork any pipeline into an independent draft copy with full operation sequence and schedule inherited.
View Operations
Read-only inspection mode renders the full transformation sequence without permitting modifications.
Success Rate
97.4%
Avg Runtime
3.7s
Total Runs
1,847
Compute Used
6,834s
Governance & FinOps
Share, Alert,
And Control Every Dollar.
From governed pipeline sharing to fair-share compute billing, every operational concern is addressed structurally - not with disclaimers.
Governed Pipeline Sharing
Shared users can view and trigger pipelines. Edit, delete, duplicate, and re-share are owner-only. Access is revocable at any time for total data control.
Event-Driven Alerting
Pipeline failures trigger email and in-app alerts with stack-trace post-mortems. Successful runs, pauses, and shares deliver in-app alerts adjusted to each recipient's own timezone.
Second-Accurate Compute Billing
Billed on actual measured runtime down to the second. Compute balance is validated before every run. If balance cannot cover the cost, execution is blocked with a clear error.
Active Integrity Walls
Configuration changes are blocked when target tables are engaged in an active flow run to prevent race-condition data collisions and ensure the integrity of your production data.
Zero Data Vendor Lock-In
Outputs are written directly into your BYOW database. Edilitics acts as purely ephemeral orchestration and retains only JSON pipeline configs for maximum security and zero lock-in.
Impenetrable Logic Guards
Every column is implicitly typed. The operation builder actively repels impossible configurations like stopping you from applying a mean calculation to a string or invalid data type.
Governed Collaboration
Share Without
Losing Control.
Share transformation pipelines with verified organizational peers. Shared users can audit logic, trigger runs, and fork a copy into their own workspace, but can never modify or delete the production configuration.
Owner Capabilities
Full control - configure, schedule, share, revoke, and delete. Production logic is protected behind owner-only write gates.
Shared User Capabilities
Audit the full operation sequence, access run history, and trigger on-demand executions. Read-and-run access - no write, no delete, no duplicate.
Instant Revocation
Revoke any shared user's access at any time. All pipeline notifications and execution rights are immediately withdrawn.
Everything you need to know before you decide.
No sales call needed. If you have a question we haven't answered here, reach out directly.