Data Kiosk reporting suite launches to general availability
Data Kiosk is now generally available in all Amazon marketplaces (effective today). Sellers can write GraphQL queries to export up to 5 million+ rows per job, schedule nightly runs to an S3 bucket, and shrink export files by up to 80 percent versus full CSVs.
Overview
Amazon has promoted its GraphQL‑driven reporting platform, Data Kiosk, to general availability across every Amazon marketplace. The upgrade means sellers can now request bulk retail data from a single, dynamic interface no matter where they list, and they can do it with far less manual effort. Sellers who depend on large‑scale analytics should care because the new service cuts extraction time, reduces data‑handling errors, and enables faster, data‑driven decision making.
Key Points
- Global rollout — As of today, Data Kiosk is live in all Amazon marketplaces, from North America to Asia, giving every seller a uniform tool regardless of the country of operation.
- GraphQL query language — Instead of downloading pre‑built CSV files, sellers write GraphQL statements that return only the columns they specify, such as pulling “ASIN, current price, and available inventory” for a single brand without extra data.
- Interactive schema explorer — The console includes a searchable schema browser that lists every attribute—sales rank, ad spend, fulfillment type, etc.—so sellers can discover fields before constructing a query.
- Massive bulk exports — A single job can return millions of rows; a typical scenario involves exporting more than five million order records for a multi‑country catalog in one API call.
- Scheduled automation — Users can configure recurring jobs, for example a nightly export of “SKU, price, and buy‑box status” that automatically lands in an Amazon S3 bucket for downstream processing.
- Single source retail dataset — All reports draw from the same Amazon retail data lake, guaranteeing that inventory, pricing, advertising, and performance metrics are perfectly aligned across the seller’s portfolio.
How Data Kiosk Works
- Explore the schema — The seller opens the Data Kiosk console, launches the schema explorer, and selects the exact fields needed, such as
product.title,pricing.currentPrice, andinventory.availableQuantity, to create a price‑inventory snapshot.
Analysis & Recommendations
Why This Matters
With Data Kiosk, a seller with 10,000 SKUs can go from several‑hour manual CSV merges to a sub‑5‑minute single query export, and recurring nightly jobs automate fresh price‑inventory feeds to Redshift or Snowflake, lowering storage costs and speeding decision‑making.
Key Takeaways
- General availability launched today across every Amazon marketplace.
- GraphQL queries let sellers select exact fields, reducing file size up to 80 %.
- A single export job can return more than 5 million rows, supporting multi‑country catalogs.
- Scheduled jobs can automatically deliver results to an Amazon S3 bucket for downstream processing.
Recommended Actions
- →In Seller Central, open the Data Kiosk console > Schema Explorer to identify needed fields.
- →Build a GraphQL query for the desired columns and set up a nightly export to an S3 bucket via the ‘Run Job’ dialog.
- →Configure an S3 event or integrate the bucket with your Redshift/Snowflake data warehouse to refresh dashboards automatically.
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