AWS Data Exchange is too slow for my workflow

If AWS Data Exchange is too slow for your workflow, the best fix usually depends on where the slowness is happening:

• Data delivery latency: the dataset is updated infrequently or takes time to appear
• Subscription/entitlement workflow: approval and access provisioning are slow
• Download/transfer speed: the actual file transfer is the bottleneck
• Query/access pattern: you’re pulling bulk files when you really need low-latency access

Common alternatives

1. Amazon S3 + direct sharing

   • Best if you just need fast, simple file delivery.
   • Use presigned URLs, cross-account bucket access, or AWS Resource Access Manager.

2. AWS Marketplace / private data products

   • If the issue is with procurement or entitlements rather than speed.
   • Better for governed distribution, but still may not solve access latency.

3. Amazon Redshift data sharing

   • Good if consumers need analytics access instead of raw files.
   • Faster for SQL-based consumption.

4. AWS Glue / Lake Formation + S3 data lake

   • Better for governed, near-real-time internal sharing.
   • More setup, but much more flexible.

5. API-based distribution

   • Best for small/medium datasets or frequent incremental updates.
   • Lower latency than batch file exchange, but more engineering effort.

6. Alternative cloud storage/CDN transfer

   • If the issue is pure download throughput, you can use:
     • CloudFront in front of S3
     • SFTP gateways
     • Direct transfer solutions like Aspera or Signiant, if high-speed file movement matters

If you want to keep using AWS Data Exchange

You can sometimes improve the experience by:

• Reducing dataset size and splitting large deliveries
• Moving to incremental updates instead of full-file refreshes
• Caching imported data in S3 or a local warehouse
• Automating ingestion as soon as deliveries arrive

Quick recommendation

• Need fast file access? Use S3 + presigned URLs
• Need analytics sharing? Use Redshift data sharing or S3 + Glue/Lake Formation
• Need near-real-time updates? Use an API or streaming pipeline

If you tell me what exactly is slow—subscription approval, dataset update time, or file download/consumption—I can suggest the best replacement architecture.