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:

• Common field shapes
• Optional vs required fields
• Type variance (string vs number in the same field) This helps make smarter query suggestions and lets you generate type-safe views or migrations.

Performance & Index Recommendations

Run explain plans from the UI and get plain-English analysis of slow queries. Pluk suggests indexes where appropriate and shows estimated improvements, helping you prioritize fixes with confidence.

Privacy-First, Local-First Workflow

Pluk keeps your data local-first: queries and analysis run from your machine. If you choose to connect cloud projects, Pluk syncs metadata securely; your raw data stays under your control.

Example: From English to Aggregation

You ask: "Find users who made more than 5 purchases and include the total spent, sorted by largest spend."

Pluk generates an aggregation pipeline like:

db.users.aggregate([
  {
    $lookup: {
      from: "orders",
      localField: "_id",
      foreignField: "userId",
      as: "orders"
    }
  },
  {
    $addFields: {
      totalSpent: { $sum: "$orders.amount" },
      orderCount: { $size: "$orders" }
    }
  },
  {
    $match: {
      orderCount: { $gt: 5 }
    }
  },
  {
    $sort: { totalSpent: -1 }
  },
  {
    $project: {
      name: 1,
      email: 1,
      totalSpent: 1,
      orderCount: 1
    }
  }
])

You can preview results inline, step through each stage, and adjust fields visually — no guesswork.

Why MongoDB + Pluk

MongoDB's flexible document model and Pluk's intelligent interface are a natural fit. Pluk helps you:

• Explore complex documents without getting lost
• Build and understand aggregations faster
• Debug realtime applications with live change feeds
• Make performance-driven improvements with actionable advice

Whether you’re building product features, running analytics, or iterating on a schema, Pluk turns noisy document stores into an understandable, navigable surface.

Try It Today

MongoDB support is available now in beta. Connect a project, open a collection, and tell Pluk what you want — we'll translate your intent into queries and help you ship faster.

We can't wait to see what you'll build. Send feedback, pipelines you want to optimize, or favorite MongoDB edge cases — we read every message.