Source connector
Visma e-conomic connector
Visma e-conomic integration for databases, warehouses and BI tools
Nordic accounting, invoicing, and ledger records. Datrise captures Visma e-conomic entities such as invoices, customers, suppliers, journal entries, accounts and products, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `visma_e_conomic_invoices`) with a schema derived from the Visma e-conomic API rather than a flattened CSV, in any of the 43 supported destinations.
Datrise is in early access: pick a destination below to open the Visma e-conomic pipeline page, and join the waitlist to get the Visma e-conomic connector with guided onboarding.
What Visma e-conomic data Datrise extracts
Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.
| Object | Landing table | Sync mode |
|---|---|---|
| invoices | visma_e_conomic_invoices | Append-only, incremental by timestamp |
| customers | visma_e_conomic_customers | Upsert by primary key, incremental on updated-at |
| suppliers | visma_e_conomic_suppliers | Upsert by primary key, incremental on updated-at |
| journal entries | visma_e_conomic_journal_entries | Upsert by primary key, incremental on updated-at |
| accounts | visma_e_conomic_accounts | Upsert by primary key, incremental on updated-at |
| products | visma_e_conomic_products | Upsert by primary key, incremental on updated-at |
Popular destinations for Visma e-conomic
Choose a destination below to open the ready pipeline page.
- AAirtable
Relational spreadsheet destination for ops and go-to-market teams.
View pipeline - AAmazon Athena
Serverless SQL over S3 data lake tables.
View pipeline - AAmazon DynamoDB
Serverless key-value and document store on AWS.
View pipeline - AAmazon QuickSight
AWS serverless BI with SPICE and embedded analytics.
View pipeline - AAmazon Redshift
AWS petabyte-scale warehouse with Spectrum.
View pipeline - AAmazon S3 Data Lake
Object storage landing zone for parquet and snapshots.
View pipeline - AApache Superset
Open-source BI for SQL exploration, charts, and dashboard publishing.
View pipeline - AAzure Data Lake Storage
ADLS Gen2 object storage for analytics workloads.
View pipeline - AAzure Synapse
Microsoft analytics workspace with SQL pools.
View pipeline
Visma e-conomic connector FAQ
- What Visma e-conomic data does the connector extract?
- 6 objects: invoices, customers, suppliers, journal entries, accounts and products. Each lands in its own table with types preserved; history-style objects (1: invoices) load as append-only streams.
- Is the Visma e-conomic integration incremental?
- Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
- Where can I load Visma e-conomic data?
- Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Visma e-conomic → destination pair has its own page with the object-to-table mapping.
Related sources
Other sources in the same category, each with its own connector page.
Early access
Launch your Visma e-conomic pipeline with guided onboarding
Join the waitlist to get priority access for Visma e-conomic integrations with guided setup, schema-aware mapping, and production-grade incremental sync.