Snowflake
Native connector with pushdown query optimization, schema inspection, and drift detection.
Traditional ELT orchestrators execute what you tell them, when you tell them — and page you when the schema changes. Loomkindle's ETL engine monitors your sources continuously, classifies schema drift as breaking or non-breaking, and reroutes affected transforms before they fail. You stop babysitting cron jobs. The agent handles the edge cases that used to own your on-call calendar.
A straightforward pipeline model — with an agent watching every stage.
Connect to your existing warehouse and orchestration tools.
Native connector with pushdown query optimization, schema inspection, and drift detection.
Full BigQuery support with partitioned table awareness and streaming insert handling.
Redshift connector supporting Spectrum external tables and sort/dist key awareness.
Local DuckDB connector for development workflows and edge analytics scenarios.
Databricks Delta Lake connector with Unity Catalog metadata integration.
REST API and file-based ingestion for custom data sources. Configurable via YAML.
Traditional ELT schedulers are dumb — they run on a cron, fail on schema drift, and page someone at 3am. Loomkindle's agent watches upstream schema continuously and handles the most common failure modes without requiring human intervention. Column renamed? Alias applied, downstream models notified. Nullable column added? Nullability constraint updated. Table dropped? Dependent transforms paused, alert sent to the relevant team — not a generic pager blast.
[2026-04-14 09:12:33] DRIFT_DETECTED source: subscriptions change: plan_id → plan_uuid type: column_rename [2026-04-14 09:12:34] REROUTING affected: 3 transforms action: alias_applied status: resolved
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