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Comparison
Alternative to AWS CloudWatch Logs
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DataSnap vs AWS CloudWatch Logs

Amazon CloudWatch Logs is AWS’s native logging service, with collection, retention and queries via Logs Insights. DataSnap positions as a managed platform for analysis and visualization with predictable costs, AI and provider neutrality.

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

Official sources

References

We recommend validating directly in AWS’s official documentation before any decision.

Reference: datasnap.cloud

DataSnap differentiators

Focus on logs & data
  • Managed analysis and visualization
    Value-focused platform without operating a complex stack.
  • Predictable costs
    Clear model with automatic optimizations to avoid billing surprises.
  • Native Oracle Cloud integration
    Object Storage with high durability and retention governance.
  • AI dashboards
    Create panels via natural language and SQL-like interface.
  • Transparent multi-tenant
    Attribute costs per client/tenant with full visibility.

Reference: datasnap.cloud

Positioning vs AWS CloudWatch Logs

Honest view
  • AWS-native vs managed focus
    CloudWatch Logs is ideal for all-AWS workloads. DataSnap prioritizes managed analysis/visualization with AI.
  • Pricing and retention
    Costs vary by ingestion, storage and queries (Logs Insights). DataSnap emphasizes predictability and direct spend control.
  • Neutrality and portability
    Avoid ecosystem lock-in when cost/simplicity are priorities — DataSnap keeps focus on business value.

When should you choose DataSnap over AWS CloudWatch Logs?

If you’re researching alternatives, you may feel operational complexity or variable costs by ingestion/storage/query. This summary helps see where DataSnap fits best.

Illustrative scenario
100 GB/day of application and infrastructure logs
AWS environment with multiple services

Variations by ingestion/storage/queries (Logs Insights) may result in unpredictable costs. DataSnap simplifies: ingestion + processing + retention, a single visible formula.

Important: validate costs on CloudWatch’s official pricing page (region and usage affect values).

Ideal profiles
Where DataSnap shines
  • Teams wanting ready visualization without operating ELK/Loki or managing complex queries
  • Need for predictability and retention governance
  • Products needing per-client/tenant consumption separation
  • Preference to keep data in own account with full control
Be honest about your case
When CloudWatch Logs still makes sense
  • All-AWS workloads relying on native resources
  • Heavy use of Logs Insights and integrations with AWS services
  • Team already masters CloudWatch and internal processes are consolidated

DataSnap complements when managed analysis and predictable costs are the priority.

Próximo passo sugerido
  • Send a sample of logs to DataSnap and compare queries/visualization
  • Use matching periods/log levels for fair comparison
  • Evaluate hybrid use: CloudWatch for native collection + DataSnap for analysis/visualization
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