Every record & field
Pull the full AFAS data model - invoices, transactions, payments, ledger and tax fields - not just a fixed preset, so your financial reports are never missing a line.
Dataddo extracts the full AFAS record set - invoices, transactions, payments, ledger entries - and delivers it wherever your finance team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your ERP and CRM. Blend it across entities and systems, backfill full history for audit, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
Financial data is only useful when it's complete, reconciled, and current. Dataddo extracts the full AFAS record model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Pull the full AFAS data model - invoices, transactions, payments, ledger and tax fields - not just a fixed preset, so your financial reports are never missing a line.
Combine AFAS with your other accounting, payment, and CRM sources so consolidated, multi-entity reporting lives in one place.
Load historical AFAS data beyond the platform's export limits, so period-over-period, reconciliation, and audit trails hold up.
Normalize currencies, tax codes, and account names, and let the Data Quality Firewall stop bad rows before AFAS data reaches your reports.
Incremental, scheduled syncs keep AFAS data current - as often as hourly - without manual exports or full reloads.
Delivery alerts and quality checks catch gaps in AFAS data early, so month-end close and dashboards never silently break.
Keep AFAS data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from AFAS keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean AFAS data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your AFAS reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any AFAS record you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before month-end close |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
AFAS is a cloud API, so the question isn't on-prem vs cloud - it's which region your financial data flows through. With Dataddo you run the data plane in the region you choose, so AFAS payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance and data-residency requirements, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud |
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises |
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
Financial data rarely has one home. Dataddo feeds AFAS into AI and agents, loads it into your warehouse for financial modeling, syncs records back into ERP and CRM systems, and delivers files to storage for archival - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI & Agents | Feed AFAS data into vector databases, LLMs, and AI agents so finance copilots can reason over your numbers. | Load AFAS records into vector stores for retrieval-augmented finance assistants, Give AI agents and copilots governed access to live AFAS financial data | |
| ETL / ELT to your warehouse | Load AFAS records and metrics into your warehouse for financial and revenue analytics. | Centralize AFAS across entities in Snowflake, BigQuery, or Redshift for consolidated reporting, Backfill AFAS history for reconciliation and audit | |
| Sync back to ERP & CRM | Push reconciled or modeled records built from AFAS data back into ERP, accounting, and CRM systems. | Sync modeled financial records from AFAS into your ERP or CRM, Keep AFAS data aligned across finance and revenue systems | |
| Files to storage & archive | Deliver raw or modeled AFAS extracts to object storage and partners for archival and audit. | Archive raw AFAS exports to S3, GCS, or Azure storage for retention, Send scheduled AFAS extracts to auditors or partners over SFTP |
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To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, ERP and CRM systems, object storage, and AI or vector stores - plus custom destinations on request.
No. Dataddo is fully managed: we maintain the AFAS connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Yes. Dataddo can pull AFAS data from multiple accounts or entities and load it into one warehouse, blended and normalized, so consolidated and multi-entity reporting works without manual exports or spreadsheets.
That's on us, not you. Dataddo's team proactively tracks AFAS API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your AFAS data keeps flowing without you touching a thing.
The full AFAS data model - invoices, transactions, payments, ledger and tax fields, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII and financial data can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Dataddo handles AFAS pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your accounting system.
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.