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
Always validate in New Relic’s official documentation before any decision.
- New Relic – LogsNew Relic log docs
- New Relic PricingPricing information
Reference: datasnap.cloud
DataSnap differentiators
- Predictable costsClear model with automatic optimizations.
- AI dashboardsNatural language queries and SQL‑like interface.
- Native Oracle Cloud integrationObject Storage with high durability.
Reference: datasnap.cloud
Positioning vs New Relic Logs
- Deep APM vs logs/data focusNew Relic highlights APM correlation. DataSnap focuses managed analysis/visualization with lower operational friction.
- Pricing modelCosts 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.
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.
- Teams wanting managed analysis with ready dashboards
- Need for predictable costs and retention governance
- Per‑client/tenant consumption separation with transparency
- 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.
- 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