Scaling Observability Solutions: Surpassing Datadog's Offerings

published on 26 August 2024

Datadog's a big player in observability, but other tools are stepping up. Here's what you need to know:

Tool Key Strength Pricing Model Best For
Datadog Unified platform Complex SKU-based All-in-one monitoring
Dynatrace AI-driven insights Per-host Deep visibility
New Relic Auto-instrumentation User-based Flexible, scalable monitoring
Splunk Powerful search Various options Log management and security

When choosing:

  1. Consider specific needs and budget
  2. Look for AI/ML integration and cloud-native support
  3. Check OpenTelemetry compatibility
  4. Evaluate long-term costs and scalability
  5. Prioritize ease of use and strong support

Only about 10% of organizations achieve full observability today. The right tool can give you an edge.

3. What Datadog Offers

Datadog

Datadog's a major observability player. Let's break down its offerings.

3.1 Datadog's Strong Points

Datadog shines in:

  • Unified Platform: Combines infrastructure monitoring, APM, and log management
  • Wide Integration: Over 450 built-in integrations
  • Real-Time Monitoring: Up-to-the-minute insights across infrastructure

Users praise Datadog's all-in-one approach:

"Datadog served as our end-to-end monitoring solution, covering applications, databases, servers, and more." - Anuj Rai, Team Lead - Information Technology, DISYS

The APM feature is popular:

"We use Datadog to trace and monitor our whole infrastructure. The APM feature is a blessing." - Verified user, Engineer

3.2 Where Datadog Falls Short

Datadog has weak spots:

  • Complex Pricing: Users struggle with SKU-based pricing
  • Unexpected Costs: Surprise charges for additional hosts or metrics
  • Setup Challenges: Agent-based system can be tricky for larger networks

One user shared:

"I asked them if I could pre-commit to a certain number of hosts, and the answer was 'Any additional host you bring on will be an additional charge.' This doesn't work for me as I need a fixed infra budget."

Another faced unexpected charges:

"We could not fully evaluate DataDog because they charged us for 50 hosts inadvertently sending metrics for 2 days out of the month. This was our mistake - we accidentally deployed the DataDog agent to an entire tier, not realizing this would incur charges."

Datadog's pricing tiers:

Tier Price
Network Performance $5 per function per month
Infrastructure $15 per host per month
APM $31 per host per month
Serverless $5 per host per month
Log Management $1.27 per million log events per month

Datadog offers a lot, but pricing and setup can be hurdles. Weigh these factors against your needs.

4. Other Observability Tools

Let's look at Datadog's main competitors and what sets them apart.

4.1 Feature Comparison

Tool Key Features Pricing (Annual)
Datadog Unified monitoring, 450+ integrations, real-time insights APM: $31/host/month
New Relic Auto-instrumentation, infrastructure health monitoring $0.30/GB after free 100GB
Dynatrace AI-driven monitoring, deep visibility Varies by solution
Splunk Full-stack observability, powerful search APM: $55/host/month
SigNoz Open-source, logs, metrics, and traces in one view Free tier available

4.2 What Makes Competitors Different

New Relic: Auto-instrumentation for 8 programming languages. G2 rating: 4.3/5.

Dynatrace: AI for automation and analytics. G2 rating: 4.5/5.

Splunk: Strong log management and security monitoring. G2 rating: 4.3/5.

SigNoz: Open-source alternative with integrated features. Free 30-day unlimited access.

Each tool's strengths:

  • New Relic: Application performance and infrastructure health
  • Dynatrace: AI-driven monitoring
  • Splunk: Log management and security monitoring
  • SigNoz: Open-source solution with integrated features

Consider your needs, budget, and tech stack when choosing. Many offer free trials or tiers.

5. How Other Tools Go Beyond Datadog

Other tools are pushing the envelope:

5.1 Better Infrastructure Monitoring

Tool Cloud Monitoring On-Premise Container Support Scalability
Dynatrace Advanced AI-driven Full support Auto-discovery Enterprise-grade
New Relic Real-time metrics Limited Native Kubernetes High volume data
SigNoz Cloud-native focus Self-hosted option OpenTelemetry native Open-source scalability

Dynatrace's OneAgent tech automatically discovers and collects data from your IT setup.

5.2 Improved Application Performance Management

New Relic and AppDynamics are upping the ante:

  • New Relic: Auto-instrumentation for 8 programming languages.
  • AppDynamics: Enterprise edition starts at $90/month per CPU Core. Deep code-level insights.

5.3 Advanced Log Management

Splunk and SigNoz are making waves:

  • Splunk: Powerful search capabilities.
  • SigNoz: Open-source tool with logs, metrics, and traces in one view. OpenTelemetry support.

5.4 AI and Machine Learning in IT Ops

  • Dynatrace: Davis AI engine predicts issues before they happen.
  • Moogsoft: ML-enabled anomaly detection to cut through IT noise.

6. Improved User Experience Monitoring

Several tools now offer features beyond Datadog's capabilities:

6.1 Better Real User Monitoring

Tool Key Features Pricing
Raygun Session replay, performance breakdowns Starts at $80/month
Dynatrace AI-based analysis, session replay Starts at $11/month
New Relic Unlimited containers, 30-day log retention 100 GB free data/month

Raygun captures performance metrics for every user session. Dynatrace uses AI-driven insights. New Relic offers cost-effective usage-based pricing.

For mobile apps, UXCam offers:

  • Funnels and user journey maps
  • Detailed event logs
  • Heatmaps for user interactions

Embrace provides:

  • 100% of sessions captured without sampling
  • Advanced ANR monitoring
  • Detailed crash reporting and error monitoring

Choose based on your needs: mobile-focused tools like UXCam or Embrace, or comprehensive solutions like Dynatrace or New Relic.

7. Enhanced Security and Compliance

Modern observability platforms offer robust security monitoring and compliance features.

7.1 Meeting Compliance and Spotting Threats

Tool Security Features Compliance Capabilities
Datadog SIEM, anomaly detection Compliance reporting
Elastic Security Advanced threat detection Regulatory alignment
SolarWinds SEM 300+ compliance templates PCI DSS, GLBA, SOX, NERC CIP, HIPAA

Datadog's SIEM capabilities suit industries with strict security needs. Elastic Security aligns with industry-specific standards. SolarWinds SEM offers extensive compliance reporting templates.

For automated compliance, consider Apptega, Vanta, or Drata.

To maximize these features:

  1. Define compliance requirements clearly
  2. Choose tools aligning with your needs
  3. Implement comprehensive monitoring
  4. Automate compliance checks and alerts
  5. Regularly review observability practices
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8. Working with Other Tools

Modern platforms offer better integration capabilities than traditional options like Datadog.

8.1 Better APIs and Developer Tools

Tool Integration Capabilities Key Features
SigNoz Native OpenTelemetry support Open-source APM, combines tracing and metrics
Azure Monitor Multi-cloud and hybrid cloud monitoring Seamless integration with Microsoft and non-Microsoft tools
Chronosphere Open-source integration Optimized for containerized and microservices architectures
Treblle CI/CD pipelines, version control systems 250,000 free API requests, paid plans from $99/month

OpenTelemetry is a game-changer, supporting various languages and frameworks.

When selecting a tool, consider:

  • Data collection capabilities
  • Scalability and performance
  • Ease of integration
  • Visualization features
  • Alerting mechanisms
  • Community support and documentation

9. Pricing and Long-Term Costs

Understanding long-term financial impact is crucial when scaling observability solutions.

9.1 Total Cost Comparison

Tool Pricing Model Key Considerations
Datadog Complex SKU-based $0.05 per custom metric, unpredictable bills
New Relic User-based $0.30/GB after 100GB free, up to $549/user
Dynatrace Per-host $69/month for 8GB per host (annual billing)
AppDynamics Per CPU core Starts at $60/month per CPU core
Checkly Usage-based $2 per 10,000 API runs, $5 per 1,000 Browser runs

Datadog's pricing complexity can lead to budget overruns. Custom metrics can account for up to 52% of total billing.

Checkly offers a more transparent structure. Customers report saving over 70% by switching from Datadog.

To manage costs:

  • Regularly audit metrics and logs
  • Track billing-related usage
  • Consider consolidating tools
  • Opt for usage-based pricing

10. Setting Up and Using New Tools

Ease of setup and use is key when moving beyond Datadog.

10.1 Help and Expert Support

Tool Setup Time Ease of Use Support Options
SigNoz Minutes User-friendly interface Community support, documentation
Instana < 20 minutes Automated setup Enterprise-level support
SolarWinds Minutes post-installation Quick configuration 24/7 technical support
Better Stack Quick setup Intuitive UI 60-day money-back guarantee

SigNoz offers a 30-day free trial. Alerty provides quick setup for NextJS, React, and Node.js.

When choosing, consider:

  • Documentation quality
  • Training resources
  • Integration with existing tech stack
  • Community support

Look for tools with:

  • Clear documentation
  • Responsive customer support
  • Regular updates
  • Active user communities

11. Preparing for Future Changes

The observability market has grown from $61B in 2019 to $105B in 2023, bringing new trends:

Trend Description
Observability Pipelines Real-time filtering and routing of telemetry data
AI/ML Integration Using Large Language Models to simplify user experiences
OpenTelemetry Push for open standards to avoid vendor lock-in
Bring-Your-Own Storage Flexibility to use preferred storage solutions
CI Pipeline Visibility Insights into the software development lifecycle

To prepare:

  1. Embrace AI and ML
  2. Focus on cloud-native monitoring
  3. Consider distributed systems
  4. Look for flexible data handling
  5. Check for OpenTelemetry support

Only about 10% of organizations achieve full observability today, showing room for improvement.

12. Conclusion

Choosing the right observability tool is crucial for scaling operations. Consider these factors:

  1. Infrastructure Monitoring
  2. Application Performance Management
  3. Log Management
  4. AI and Machine Learning
  5. User Experience Monitoring
  6. Security and Compliance
  7. Integration and APIs
  8. Pricing and Scalability
  9. Ease of Use and Support
  10. Future-Readiness

Select tools that address emerging trends and fit your specific needs to stay competitive in the rapidly evolving observability landscape.

FAQs

Who does Datadog compete with?

Main competitors: Dynatrace, New Relic, AppDynamics, ManageEngine Applications Manager, Azure Monitor, IBM Instana Observability, Amazon CloudWatch, Elastic Observability

What is the difference between Splunk and Datadog?

Splunk

Aspect Datadog Splunk
Main focus General monitoring and observability Large-scale data search and analysis
Key strengths Ease of use, APM features Powerful log management, search capabilities
Best suited for Overall infrastructure and application monitoring In-depth log analysis and data search

Who is Datadog's biggest competitor?

Dynatrace is often considered Datadog's biggest competitor. Other strong alternatives include New Relic, LogicMonitor, IBM Instana, and checkmk.

When choosing an alternative, consider your specific monitoring and observability needs, as each tool has its own strengths and focus areas.

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