Egor Burlakov
••12 min readHow to Evaluate a Data Platform Without Lying to Yourself
A practical, evidence-based framework for evaluating data platforms against your team’s workloads, constraints, operating model, and total cost.
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A practical, evidence-based framework for evaluating data platforms against your team’s workloads, constraints, operating model, and total cost.
Save 84% on your data stack with open-source alternatives. ClickHouse instead of Snowflake, Airbyte instead of Fivetran, Metabase instead of Looker — with real cost comparisons.
After scoring 500+ data tools on a 100-point framework, clear patterns emerge. Here are the ten that separate great tools from forgettable ones.
Data pipelines pass all tests but silently lose millions in revenue. Discover Automated Data Tests (ADT)—lightweight checks that catch join drops, sum errors, and aggregation glitches across billions of rows. Python and SQL solutions coming next.