Azure Data Explorer vs Datadog Observability Pipelines

Azure Data Explorer and Datadog Observability Pipelines are both enterprise data pipeline solutions. Azure Data Explorer microsoft's fast data analytics service for real-time analysis of streaming security data, while Datadog Observability Pipelines managed observability pipeline for routing and transforming telemetry data at scale. The best choice depends on your organization's size, technical requirements, and budget.

Updated Feb 2026

Realm.Security

Featured

Realm.Security describes itself as a SOC-aware security data pipeline, scoped to security telemetry rather than spanning IT and observability. The vendor states it reduces, enriches, redacts and routes security telemetry, validates filtering against live detections before it is applied, and retains an immutable raw copy of everything by default. Vendor-stated: a customer cut FortiGate log volume by 83 percent with no detections lost, and deployment takes 7 to 10 days without professional services.

Pricing: Contact for pricing

View listingVisit website

Our own comparison of Realm.Security: Realm.Security vs Datadog Observability Pipelines. Written from public sources, not by the vendor.

Paid placement, shown separately from the comparison below. It does not affect the verdict or the table. See our advertising policy.

Summary

Choose Azure Data Explorer if massive scale at lower cost than SIEM solutions is your priority and microsoft-centric organizations wanting a scalable security data lake with powerful KQL analytics at lower cost than SIEM. Choose Datadog Observability Pipelines if tight integration with Datadog ecosystem matters most and organizations already using Datadog that want managed pipeline capabilities with enterprise support and monitoring.

Choose Azure Data Explorer if:

  • You value massive scale at lower cost than SIEM solutions
  • You value kQL compatibility with Microsoft Sentinel
  • You value excellent performance for ad-hoc security analysis
  • You want to avoid best value within Datadog ecosystem
  • You want to avoid per-GB processing costs can add up

Choose Datadog Observability Pipelines if:

  • You value tight integration with Datadog ecosystem
  • You value built on proven open-source Vector engine
  • You value managed monitoring and alerting for pipelines
  • You want to avoid not a dedicated data pipeline. More analytics-focused
  • You want to avoid requires Azure ecosystem investment

Feature Comparison

FeatureAzure Data ExplorerDatadog Observability Pipelines
PricingPay-as-you-go (compute + storage) / Reserved capacity discountsFrom $0.10/GB processed / Enterprise custom
Pricing ModelConsumption-based (compute + storage)Volume-based (per GB processed)
Open SourceNoNo
DeploymentCloudCloud, Self-Hosted
Best ForMicrosoft-centric organizations wanting a scalable security data lake with powerful KQL analytics at lower cost than SIEMOrganizations already using Datadog that want managed pipeline capabilities with enterprise support and monitoring
Real-time streaming data ingestionSupportedNot available
Kusto Query Language (KQL) analyticsSupportedNot available
Petabyte-scale data storageSupportedNot available

Sources

Related

Full Observability Pipelines guideAzure Data Explorer AlternativesDatadog Observability Pipelines AlternativesAzure Data Explorer OverviewDatadog Observability Pipelines Overview