Executive Summary

Many product and infrastructure teams have silently removed or crippled per-period “project usage” charts because storing and querying high-cardinality telemetry in row-oriented stores drives latency and bills up quickly; the people hurt are the 5 million developer teams who expect at-a-glance metrics on project homepages to speed decisions and reduce context switching. The concrete symptom is slow or missing charts on the page that should summarize daily/weekly usage, and the consequence is slower incident triage and more tool-hopping by engineers and PMs. You could build a ClickHouse-backed charting path that restores performant per-period project usage views and ships them behind a feature flag for controlled rollout and experimentation. Implementation would rely on partitioning, materialized views, TTLs, time-based downsampling, and pre-aggregation to aim for sub‑second median query latency for common slices while targeting 3–5x lower query cost on high-cardinality queries versus OLTP alternatives, and the feature flag lets you measure real user value and limit scope during migration. This is an attractive time to pursue the idea: the market for developer tooling and observability is roughly $20 billion (5M teams × $4,000 ACV), platform consolidation trends increase demand for built-in telemetry on homepages, and the shift to columnar OLAP stores like ClickHouse makes interactive dashboards that were previously impractical materially cheaper and faster. Given a market score of 90/100 and revenue potential of 78/100, there is commercial room to sell this as a differentiated platform capability rather than a point integration. The product can stand out by combining turnkey ClickHouse ops patterns, curated project-level aggregates and templates, and cost controls exposed to product managers, but challenges include the engineering burden of operating ClickHouse at scale, ensuring correct downsampling and retention semantics, and competing with established analytics vendors and in-house solutions.

Market Opportunity

Restore performant per-period project usage charts via ClickHouse + feature flag targets a $20.0B = 5M developer teams x $4,000 ACV (annual tooling/observability spend per team) total addressable market with medium saturation and a year-over-year growth rate of 18% (observability & developer tooling combined CAGR estimate).

Key trends driving demand: Consolidation of infra & product analytics -- companies want fewer vendor integrations and prefer integrated telemetry on platform homepages, increasing demand for built-in charts.; Shift to columnar OLAP stores (ClickHouse, Druid) -- dramatically lowers latency/cost for slices of high-cardinality telemetry, enabling interactive dashboards previously impractical.; Developer experience focus -- product and infra teams expect actionable, at-a-glance metrics on their project homepages to speed decision cycles and reduce context switching..

Key competitors include Datadog, Mixpanel, Grafana Labs, Ad-hoc dashboards / BI (BigQuery + Redash/Metabase).

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Restore performant per-period project usage charts via ClickHouse + feature flag

Executive Summary

Market Validation

Market Opportunity

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