Wire · technology
Nextdoor powers a faster, leaner data platform with Spark Declarative Pipelines
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Fusion42 · 23 August 2026 · Fusion42 review
Nextdoor significantly improved its data platform by adopting Spark Declarative Pipelines on Databricks Lakeflow, reducing event ingestion latency from one hour to just a few minutes, cutting compute costs by 75%, and accelerating pipeline setup by over 60%. This modernization enabled near real-time data processing and streamlined infrastructure management, supporting faster decision-making and growth.
This Wire brief sits within Fusion42's coverage of Enterprise Software.
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Modern data platforms now demand near real-time processing with lower cost structures. You running data pipelines should explore Spark Declarative Pipelines on Databricks to cut latency and costs while freeing your engineers from manual maintenance.
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1 source · 11 Aug 2026
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