Every record, in your data lake

Scheduled full and incremental exports land your LEDGRR objects in Azure Data Lake — analytics-ready, schema-documented, always fresh.

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1,030+ Reviews
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Integrations
Azure Data Lake

Warehouse-grade data, without the ETL project.

Scheduled syncs

Full and incremental exports run hourly, daily or on your cadence.

Every object

Invoices, journals, contacts, employees, stock moves — the complete schema.

Schema documented

Export manifests include the data dictionary — analysts start immediately.

Delta-aware

Incremental runs ship only changed records — efficient at any scale.

Format-flexible

Parquet, CSV or JSON output per destination and tool.

Sync monitoring

Run history, row counts and failure alerts keep pipelines honest.

Your analytics team gets real data

No API babysitting

Exports land on schedule — data engineers consume files, not endpoints.

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No API babysitting
History preserved

Incremental syncs with soft-delete flags keep the lake a faithful replica.

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History preserved
Ready for ML

Clean, documented tables feed forecasting and ML workloads directly.

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Ready for ML
Failures alert, not hide

Missed syncs notify owners — downstream reports never silently go stale.

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Failures alert, not hide
Ibrahim Musa, Head of Tax

Our data team went from begging for extracts to building models on a daily-refreshed lake. The schema docs meant zero hand-holding.

10,000+

Businesses trust LEDGRR

Ibrahim Musa

Browse LEDGRR templates

Data

Sync Setup Guide

Data Lake connection and schedule.

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Data

Schema Manifest

Object and field documentation.

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Data

Incremental Sync Spec

Delta and watermark behaviour.

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Data

Pipeline Runbook

Monitoring and failure recovery.

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