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Comparison
Alternative to New Relic Logs
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DataSnap vs New Relic Logs

New Relic integrates logs with APM for deep correlation. DataSnap prioritizes managed analysis/visualization with predictable costs, AI and low operational friction.

We keep the comparison updated, but exact prices must be confirmed directly on New Relic Logs.

Official sources

References

Always validate in New Relic’s official documentation before any decision.

Reference: datasnap.cloud

DataSnap differentiators

Focus on logs & data
  • Predictable costs
    Clear model with automatic optimizations.
  • AI dashboards
    Natural language queries and SQL‑like interface.
  • Native Oracle Cloud integration
    Object Storage with high durability.

Reference: datasnap.cloud

Positioning vs New Relic Logs

Honest view
  • Deep APM vs logs/data focus
    New Relic highlights APM correlation. DataSnap focuses managed analysis/visualization with lower operational friction.
  • Pricing model
    Costs may vary by usage. DataSnap emphasizes predictability.

When should you choose DataSnap over New Relic Logs?

If you want focus on logs/data with predictable costs, this summary helps see where DataSnap best fits alongside APM.

Illustrative scenario
Application with APM and business logs
Signal correlation environment

With APM scenarios, it’s common to separate deep monitoring (APM) from business log/data analysis. DataSnap simplifies: ingestion + processing + retention with ready visualization and AI.

Important: use APM for deep distributed tracing; DataSnap complements with log/data analysis.

Ideal profiles
Where DataSnap shines
  • Teams wanting managed analysis with ready dashboards
  • Need for predictable costs and retention governance
  • Per‑client/tenant consumption separation with transparency
Be honest about your case
When New Relic Logs still makes sense
  • Dependence on deep APM correlation across dozens of services
  • Central use of modules/features specific to the New Relic ecosystem
  • Team already masters the platform and internal processes are consolidated

DataSnap complements when managed analysis and predictable costs are the priority for logs/data.

Próximo passo sugerido
  • Start with 1 application and compare log consumption/analysis
  • Use matching periods/log levels for a fair comparison
  • Evaluate hybrid use: deep APM in New Relic + log analysis in DataSnap