Building a modern analytical platform usually rhymes with one thing: migrating to the cloud.

But what happens when operational realities, budget constraints, or strict compliance requirements demand a 100% on-premise solution?

Until recently, maintaining a local Data Lake meant choosing between two painful paths:

Wrestling with heavy, outdated Hadoop clusters.

Paying exorbitant licensing fees for proprietary software.