Convex to Spotfire Integration

How Datrise loads Convex into Spotfire

Datrise syncs Convex's documents, tables, functions, indexes, mutations, and queries into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Convex: Reactive backend with a document database.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Convex entities map to Spotfire

Convex entity	Spotfire object	Notes
documents	`convex_documents`	id PK · custom fields → flattened columns for visualizations
tables	`convex_tables`	id PK · linked to convex_documents
functions	`convex_functions`	id PK · linked to convex_documents
indexes	`convex_indexes`	id PK · linked to convex_documents

FAQ

How does Datrise handle Convex's custom fields in Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the Convex to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

Early access

Connect Convex to Spotfire the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.