Paystack to DuckDB Integration
AI-first ETL from Paystack into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Paystack into DuckDB
Datrise syncs Paystack's transactions, customers, plans, subscriptions, settlements, and refunds into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Paystack: Online payment collection for African markets.
DuckDB: In-process analytics database for fast local OLAP.
How Paystack entities map to DuckDB
| Paystack entity | DuckDB object | Notes |
|---|---|---|
| transactions | paystack_transactions | id PK · custom fields → JSON or STRUCT columns |
| customers | paystack_customers | id PK · linked to paystack_transactions |
| plans | paystack_plans | id PK · linked to paystack_transactions |
| subscriptions | paystack_subscriptions | id PK · linked to paystack_transactions |
FAQ
How does Datrise handle Paystack's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Paystack to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Paystack
Early access
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