MongoDB Support is Here
We're thrilled to announce first-class MongoDB support in Pluk. For years, developers have told us they love MongoDB's flexibility — but also that exploring deeply nested documents, debugging aggregations, and making sense of schemaless data can feel messy. Pluk brings clarity: a clean, visual document explorer, intelligent aggregation generation, realtime views, and developer-friendly performance tooling — all wrapped in the same local-first, privacy-minded experience you expect from Pluk.
What Pluk Brings to MongoDB
Document Viewer — Beautiful, Expandable JSON
Browse collections with an expandable JSON tree that preserves structure and context. Click into nested arrays, inspect object shapes, collapse/expand fields, and preview large documents without losing performance. The viewer supports:
- Inline field previews
- Type hints for common BSON types (Date, ObjectId, Decimal128)
- Quick copy of field paths for use in queries
Aggregation Pipelines — Built From Plain English
Writing aggregation pipelines can be tedious. Tell Pluk what you want in plain English — "users with more than 5 purchases last year, joined with their profiles" — and we propose a pipeline you can review, tweak, and run. Pipelines are shown with step-by-step explanations, so you learn while you work.
Realtime Insights — Change Streams Visualized
See live updates from your collections with change-stream-driven views. When documents insert, update, or delete, Pluk highlights the changes in context so you can debug live systems, verify replication, or watch test data evolve — useful for live debugging and demos.
Schema Intelligence — Understand What’s Really in Your Data
Even schemaless data has patterns. Pluk scans a sample of your collection and surfaces: