The modern data stack on the lakehouse has proven to dramatically simplify data architecture for enterprises to handle all their data, analytics and AI.

Why do data leaders today care about the modern data stack? Self-service analytics Citizen-developers want access to critical business dashboards in real time.

The semantic layer is still an emerging technology, but it will clearly play an important role in the evolution of the modern data stack.

The modern data stack is undergoing a significant transformation, characterized by increasing fragmentation and complexity, particularly in the governance and semantic layers.

The modern data stack is primarily tool based. It’s made up of data storage, orchestration/workflow engines, data ingestion, business intelligence and a metrics layer, among other things.

If you’ve heard about something called “the modern data stack,” then you’re not alone. Google returns 489 million results for that search, if that’s a measure of anything anymore. While the modern ...

Similarweb today announced that it has been recognized as a leader in the Modern Marketing Data Stack 2025: How Leading Marketers Are Thriving In a Wo ...

Machine learning and AI is a non-starter without the right data. But are data lakes now legacy? What does a modern data stack (MDS) look like? A recent debate sheds light.

Going to market with what it calls its Modern Analytics Cloud service, ThoughtSpot is aiming to make data analytics the next key democratic access point for all users. As well as expanding its own ...

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.

Census today announced that it has been recognized as a Customer Data Platform leader in the Modern Marketing Data Stack 2025: How Leading Marketers A ...