Chronosphere vs. Datadog
Stop Paying for Data Your Engineers Don't Use
Datadog makes getting started with observability easy. But as you scale, it quickly becomes expensive and unpredictable. Chronosphere helps organizations take back control so they can manage cost and complexity without compromising the visibility developers need.
Signs That it's time to consider Chronosphere
✅ Surprise overages and an observability bill you can’t reliably forecast
✅ Engineers distracted by data-reduction projects instead of focusing on innovation
✅ Feeling locked in due to proprietary formats and a lack of vendor support
How Chronosphere is different
Chronosphere was built around two ideas that set us apart from Datadog: customers need real control over cost and telemetry growth, and they need a true strategic partner. That’s why we lead with powerful control features, backed by a deeply hands-on customer success model that helps teams maximize observability value, improve the visibility developers rely on, and scale with predictable costs.
Real Control Over Cost and Telemetry Growth
- No surprise overages
- Custom metrics aren’t a second class citizen and don’t cost extra
- Keep the signals that deliver the most visibility per dollar spent
A Hands-On Customer Success Partnership
- A dedicated team helps drive successful migration, adoption, and long-term success
- Expert guidance helps teams align cost to value and continuously optimize their environment
- Ongoing support and enablement help teams adapt as their needs evolve
Better Troubleshooting for Distributed Systems
- Faster, more efficient troubleshooting with higher-quality signal
- Workflows optimized for root cause analysis in Kubernetes and containerized environments
- Simplified query creation across metrics, traces, logs, and events using natural language
Open Standards, No Lock-In
- 100% compatible with Prometheus and OpenTelemetry
- Reduce dependence on proprietary tools and data models
- Get full platform value with out-of-the-box features built on open standards