Is observability data
growing faster than your budget?
Compare Observe vs Splunk. Replace or augment Splunk deployments with Observe to gain better performance while lowering the total cost of ownership.
Try Observe for FreeSplunk
High total cost of ownership
Designed decades ago, Splunk’s traditional architecture cannot cost-efficiently handle the high volume of fast-moving telemetry data that today’s cloud and cloud-native applications generate.
Single-tenant architecture and lack of auto-scaling mean customers have to plan for peak capacity, leading to inefficient resource utilization and higher costs.
Splunk customers are responsible for managing infrastructure, data lifecycle, and data tiers, leading to an unnecessary burden on valuable engineering resources.
Cloud-native. Separates compute from storage
Elastically scales as needed
13 months by default for all data
All data is always kept hot
All telemetry data in one data lake with one query language and one consistent UI for faster correlations and troubleshooting
Included by default. All data is encrypted in-transit and q’at-rest
Included
Splunk
Traditional. Monolithic. Tightly coupled compute and storage
Lack of auto-scaling leads to inefficient resource utilization and higher licensing costs
Limited:
Traces: 8 days
Logs: 90 days
Metrics: 13 months
Create, maintain, and migrate between data tiers – hot or archives. Manually rehydrade and reindex data
Multiple tools for metrics, traces, and logs – SignalFx and Splunk. Multiple languages – SignalFlow and SPL, and completely disjointed UI
Available at an additional cost
Available at an additional cost
Replace Splunk at your own pace
See the difference
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Integrations
See how our unique architecture enables better observability without the cost escalation.
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