Exporting large volumes of data from Shopify is now up to 4× faster thanks to Bulk query optimizations. Retrieving large datasets can now be done in less time and at lower cost.
Exporting large datasets now completes up to 4× faster, reducing wait times.
Because it's a Bulk query optimization, your existing bulk query implementations simply run faster (the article announces it as a performance improvement).
Processing takes less time than the synchronous API, helping reduce infrastructure spend—per the article's claim.
Bulk operations are the most efficient way to import and export data from a Shopify store. You submit a request, Shopify processes the job asynchronously, and you receive a result file once it's complete.
| Aspect | Synchronous Admin API usage | Bulk operations |
|---|---|---|
| Development speed | Implement pagination and other controls yourself | Fast Build features faster |
| Large-scale data processing | Takes longer as the number of records grows | Short time Process large-scale data in less time |
| Infrastructure spend | Costs rise with long-running jobs and many requests | Low cost Keep infrastructure spend down |
| This speedup | — | Up to 4× Bulk query exports are faster |
* The only figure is the article's stated "up to 4×." The specific query types affected, conditions for the gains, and measurement methodology are not described in the article.
In addition to this speedup, the article also lists recent improvements around Bulk operations.
Exporting large datasets is now up to 4× faster.
New queries were added for managing bulk operations (New queries for managing bulk operations).
Supports all mutations and lets you run up to 5 bulk operations concurrently.
Bulk operations are now supported in the Shopify CLI.
The article points to asample appthat lets you compare Bulk query / mutation against synchronous API calls. Useful for comparison testing before adoption.
Set up a comparison environment with the bulk operations sample app.
Send the same volume of data via Bulk and synchronously and compare the difference.
Judge adoption by seeing the impact with your own store's real data.
* A conceptual diagram expressing "up to 4×" as a time ratio. Actual values depend on data volume and query content; the article gives no breakdown.
What's explicitly stated this time is Bulk query(export) speedup. Nothing is said about mutation speed.
A recent improvement lets you run up to 5 bulk operations at once, enabling parallel export designs across multiple objects.
A recent improvement made all mutations bulk-compatible, so bulk-import-style processing can also be moved to bulk.
The CLI now supports bulk operations, making local verification, scripting, and CI integration easier.
A new query for managing bulk operations was added, making it easier to track job status. The safe way to decide on adoption is bulk operations sample app to benchmark against the synchronous API first. Specific target API versions, applicable conditions, and limits are not in the article — check the official documentation.