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Build vs Buy Data Pipeline Guide

Monte Carlo

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. At Uber, for example, data ingestion scale quickly surpassed what out-of-the-box solutions could support.

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From Patchwork to Platform: The Rise of the Post-Modern Data Stack

Ascend.io

In the data world, this disruption manifested in the form of cloud computing with technologies such as Redshift, Snowflake, and Spark. In our case, data ingestion, transformation, orchestration, reverse ETL, and observability. This is the modern data stack as we know it today. Sounds familiar?