The emerging data stack brings opportunities and risk for buyers and sellers

Full Article
The emerging data stack brings opportunities and risk for buyers and sellers

The modern data stack is undergoing a significant transformation, shifting control from traditional database management systems to governance layers. This evolution is driven by key players disrupting the market and data platform vendors expanding their reach, leading to confusion among customers. The analysis highlights the importance of navigating these changes to harness data effectively while recognizing the associated risks.

Insights from Supercloud 7 reveal that organizations are grappling with conflicting priorities in data governance, balancing security with the desire for flexibility. The rise of open-source governance solutions adds complexity, as companies like Databricks and Snowflake face competition from hyperscalers and legacy software vendors. The future of data management will require careful navigation of these dynamics to leverage data assets fully.

• Control points in the data stack are shifting towards governance layers.

• Organizations face conflicting priorities in data governance and security.

Key AI Terms Mentioned in this Article

Governance Layer

This layer is becoming the new strategic control point in the evolving data stack.

Open Table Formats

The interest in adopting these formats is rising, indicating a shift in data management strategies.

Data Pipelines

They play a crucial role in consolidating data but are becoming increasingly complex.

Companies Mentioned in this Article

Databricks

The company is competing with Snowflake as they expand their capabilities in the data stack.

Snowflake

It is recognized as a leader in the cloud DBMS space and is facing competition from emerging governance solutions.

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