Criterion #2: Data federation and access without duplication
Access and analyze data where it lives — without forcing duplication or re-ingestion.
As data volumes grow, so do the costs of moving, copying, and storing it.
In traditional architectures, data is often duplicated across tools just to make it usable — increasing cost, adding latency, and creating unnecessary complexity.
A modern data architecture takes a different approach: it enables teams to access and analyze data where it lives — without forcing duplication or re-ingestion.
Analyze data in placeCan teams query distributed data without moving it first?
Reduce duplicationWhere are you storing the same data multiple times?
Maximize existing dataAre you getting full value from the data you already have?
Federated search has been a game changer for us in cost optimization. We route only the critical logs to Splunk and keep everything else in S3 for ad hoc or audit needs."
