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Explore the components of a modern data stack and the three main implementation approaches: using a single cloud provider, combining best-in-class tools from different vendors, or using an all-in-one platform like Peliqan.
This video breaks down each layer of the modern data stack – data sources, ingestion, warehousing, transformation, BI, and reverse ETL – and explains the trade-offs of each implementation approach in terms of cost, complexity, and time to value.
A modern data stack typically includes data sources, ingestion / ELT tools, a cloud data warehouse, transformation layer, business intelligence tools, and reverse ETL.
There are three common approaches: using a single cloud provider, combining best-in-class tools from different vendors, or adopting an all-in-one platform.
All-in-one platforms reduce setup time and integration overhead, but may offer less depth than specialized tools. They are ideal for small to mid-size teams or fast deployments.
Multiple specialized tools work well when you have large data teams, advanced custom requirements, or specific tool preferences. They require more integration effort and ongoing maintenance.
