Managed time series infrastructure for platform teams drowning in Prometheus retention limits, IoT fleets that broke InfluxDB at 50M series, and fintech observability leads who can't hire a dedicated database team.
Surveyed 340 teams running self-managed Prometheus or InfluxDB in production. Retention wall defined as: storage costs exceeding $2,000/month or query latency degrading beyond 5s on recent data. Source: Chrono Infrastructure Survey 2025, n=340.
Purple bars = retention wall reached · Methodology: self-reported, verified via billing data
Chrono automatically tiers data across hot/warm/cold storage. Query latency stays flat whether you're reading from 1 hour ago or 18 months ago. No Thanos, no Cortex, no weekend spent on compaction config.
Reproducible benchmark: identical query (30-day range, 5m step) against increasing cardinality. Prometheus 2.48 and InfluxDB 3.0 on m5.4xlarge, 32 vCPU, 64GB RAM. Chrono managed tier. All benchmarks publicly reproducible — see /benchmarks.
All benchmarks run on identical hardware. Prometheus 2.48, InfluxDB 3.0, Chrono managed. Full methodology at chrono.io/benchmarks.
Benchmark date: 2026-01-15 · Hardware: AWS m5.4xlarge · Reproducible: github.com/chrono-io/benchmarks
Free tier: 100M data points/day, 90-day retention, 5 concurrent queries. No credit card. No sales call. Ship your first query in under 10 minutes.
48-page PDF · Reproducible methodology · Raw data included
Complete cardinality stress tests, cost-per-series analysis across 8 database systems, and a decision framework for teams evaluating time series infrastructure.