Datadog vs Splunk On-Call Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated May 2026 8 min read

Datadog

0.0 (0 reviews)

Datadog is a monitoring and security platform for cloud applications that integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide real-time visibility into your entire technology stack.

Starting at Free
Free Trial 14 days
VS

Splunk On-Call

0.0 (0 reviews)

Splunk On-Call is an incident response software that aligns log data with on-call scheduling to help your DevOps teams collaborate, troubleshoot, and resolve critical service outages faster.

Starting at $5/mo
Free Trial 14 days

Quick Comparison

Feature Datadog Splunk On-Call
Website datadoghq.com splunk.com
Pricing Model Freemium Subscription
Starting Price Free $5/month
FREE Trial ✓ 14 days free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile saas mobile
Integrations AWS Azure Google Cloud Slack PagerDuty Kubernetes Docker Microsoft Teams ServiceNow Jira Splunk Slack Jira ServiceNow Grafana Prometheus AWS CloudWatch Datadog New Relic Microsoft Teams
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2010 2012
Headquarters New York, USA Boulder, USA

Overview

D

Datadog

Datadog gives you a unified view of your entire technology stack by bringing together metrics, traces, and logs in one place. You can monitor your servers, databases, and applications in real-time to identify performance bottlenecks before they impact your customers. The platform automatically breaks down silos between your infrastructure and application teams, allowing everyone to look at the same data through customizable dashboards and automated alerts.

You can easily scale your monitoring as your cloud environment grows, whether you use AWS, Azure, Google Cloud, or on-premise solutions. It helps you troubleshoot issues faster with high-resolution graphs and machine learning-based alerts that filter out the noise. Whether you are a small startup or a global enterprise, you can maintain high availability and optimize your digital experience using a single, integrated platform.

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Splunk On-Call

Splunk On-Call, formerly known as VictorOps, is a purpose-built incident management platform designed to make on-call rotations less painful for your engineering teams. You can automate the entire incident lifecycle by routing alerts from your monitoring tools directly to the right person at the right time. By centralizing your alert data, the platform ensures that your team has the full context needed to diagnose problems without switching between multiple tabs or tools during a crisis.

You can manage complex on-call schedules, set up automated escalation policies, and use native mobile apps to respond to incidents from anywhere. The software focuses on reducing your Mean Time to Resolution (MTTR) by providing a collaborative timeline where your team can chat, share snippets, and track remediation steps in real-time. It is particularly effective for DevOps and SRE teams in mid-market to enterprise organizations who need to maintain high service availability.

Overview

D

Datadog Features

  • Infrastructure Monitoring Visualize your entire infrastructure with high-resolution metrics and tags to see how your hosts and containers are performing.
  • Application Performance Monitoring Trace requests across distributed systems to pinpoint slow code or database queries that are affecting your user experience.
  • Log Management Analyze and search through all your logs at scale without worrying about indexing costs or storage limitations.
  • Real User Monitoring See exactly how your users interact with your frontend applications to identify UI bugs and performance issues in real-time.
  • Cloud Security Management Detect threats and misconfigurations across your cloud environment automatically to keep your data and applications secure.
  • Watchdog AI Let machine learning automatically detect anomalies and surface the root cause of performance spikes without manual configuration.
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Splunk On-Call Features

  • Automated Escalation. Set up custom rules to ensure critical alerts automatically find the right engineer based on your live on-call schedules.
  • Incident Timeline. View a unified stream of monitoring data and team chat to understand exactly what happened and when.
  • Mobile Incident Management. Acknowledge, resolve, and reroute incidents directly from your phone using native iOS and Android applications.
  • Transmogrifier. Attach runbooks, graphs, and automated notes to incoming alerts so you have instant context for every page.
  • On-Call Scheduling. Create and manage fair rotations with drag-and-drop shifts and easy overrides for vacations or sick leave.
  • Reporting and Analytics. Track your MTTR and alert volume trends to identify burnout risks and improve your system reliability.

Pricing Comparison

D

Datadog Pricing

Free
$0
  • Up to 5 hosts
  • 1-day data retention
  • Core infrastructure metrics
  • Community support
  • Standard dashboards
S

Splunk On-Call Pricing

Starter
$5
  • On-call scheduling
  • Email and SMS notifications
  • Mobile app access
  • Basic integrations
  • Incident history

Pros & Cons

M

Datadog

Pros

  • Extensive library of over 600 built-in integrations
  • Highly customizable dashboards for clear data visualization
  • Seamless correlation between metrics, traces, and logs
  • Fast and responsive user interface even with large datasets

Cons

  • Pricing can become complex and expensive at scale
  • Initial setup requires a significant time investment
  • Steep learning curve for advanced query languages
A

Splunk On-Call

Pros

  • Highly flexible on-call scheduling and rotation management
  • Excellent mobile app for managing alerts remotely
  • Seamless integration with the broader Splunk ecosystem
  • Transmogrifier feature provides great context for alerts

Cons

  • Initial configuration can be complex for new users
  • User interface feels dated compared to some competitors
  • Pricing can become significant for very large teams
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