MongrelDB · built in

MongrelDB, from the source.

Embedded native document and SQL-like workflows backed by the public MongrelDB crates — browsing, querying, schema, and migration integration, built into every Mongrel build.

Built into every Mongrel build · embedded · open-source crates

Live · click to inspect

The pipeline MongrelDB runs for your query.

Click any stage below to see docs examined, timing, and what Mongrel would suggest. Same view you get inside the workbench.

// $filter · status: "paid"

Matches status = "paid" against the index range first. Selectivity 0.3% — 214 of 80,000 documents pass. Suggested index hint applied.

// orders · embedded store
db.orders.query({
  filter: { status: "paid",
            created_at: { $gt: "2026-06-01" } },
  lookup: { from: "customers",
            on: "customer_id" },
  sort: { created_at: -1 },
  project: ["id", "total", "customer.email"],
  limit: 20
});

// 218ms → 7ms · was scanning 80,000 docs
// ✓ Proposal: compound index (customer_id, created_at)

db.orders.createIndex({ "customer_id": 1, "created_at": -1 });
MongrelDB surface

What Mongrel ships for MongrelDB.

Document browser & editor

Browse collections as documents, edit nested JSON in place with type-aware fields, and save atomically.

Pipeline inspector

Step through every stage of a document query — docs examined, time, and index usage per stage.

SQL-like querying

Write familiar SELECT-style queries that translate to native document operations, and see the generated pipeline.

Index management

Create and drop single and compound indexes from the UI. See which queries each index actually serves.

Schema analysis

Sample collections to infer field shapes, spot missing keys and type drift, and generate a schema report.

Schema sync & migrations

Compare collections between environments and generate reversible migrations integrated with Mongrel's migration runner.

AI explain & rewrite

Paste a query and its pipeline stats. The assistant rewrites it, proposes an index hint, shows the predicted stats.

Built-in, zero setup

Backed by the public MongrelDB crates and embedded in every Mongrel build. No server, no credentials, no plugin to install.

Import, export, copy

JSON and BSON import/export. Copy documents between MongrelDB and any other engine — schema-aware.

Open MongrelDB in 30 seconds.

7-day trial. macOS, Windows, Linux. No credit card.