DynamoDB without the console maze.
Browse tables and indexes, run PartiQL with capacity insight, edit items natively, and back it all up — over your IAM credential chain or a local endpoint.
AWS SDK · IAM credential chain · local endpoints
The inspection Mongrel runs on your PartiQL.
Click any step below to see what Mongrel checked and what it would suggest. Same view you get inside the workbench.
// Plan Check · Query vs Scan
Mongrel inspects the PartiQL statement against the table and index schema. No usable key condition exists, so DynamoDB executes this as a full Scan.
-- orders · us-east-1 · profile: prod SELECT * FROM "orders" WHERE "status" = 'paid' ORDER BY "created_at" DESC; -- Scan: 2.1M items read · 512 RCU · 3.8s -- ✓ Proposal: GSI (status, created_at) → Query, 26 RCU CREATE INDEX "status_created_idx" ON "orders" ( "status", "created_at" );
What Mongrel ships for DynamoDB.
Table & index browser
Browse tables and their GSIs and LSIs across regions. Item counts, key schemas, stream status, and provisioned vs on-demand mode at a glance.
PartiQL editor
Write and run PartiQL statements with syntax highlighting and history. Query vs Scan detection warns before you burn capacity.
Native item operations
Get, put, update, and delete items with condition expressions and return values. Edit attribute maps in place, binary and set types included.
IAM credential chain
Standard AWS credential resolution: environment variables, shared config and credentials files, named profiles, SSO, and instance or container roles.
Local endpoints
Point Mongrel at DynamoDB Local or LocalStack with a custom endpoint. Develop and test against a local table before touching AWS.
Backup archives
Export tables to encrypted backup archives on a schedule, and restore them back into any table. Scanned in pages, resumed on failure.
Capacity insight
See RCU and WCU consumed per statement alongside the result. Understand what a query costs before you run it against production.
AI explain & rewrite
Paste a PartiQL statement and its capacity stats. The assistant proposes a GSI, a projection, or a restructure — it suggests, you execute.
Import, export, copy
CSV and JSON import and export per table. Copy items between tables, regions, or a local endpoint and the real thing.