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Head-to-head · Data Observability Tools

Datadog Data Observability vs Elementary

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Datadog Data Observability #1 in Data Observability Tools 9.3/10 14-day trial Free trial✓ 1 of 5 features Visit Datadog
Elementary #7 in Data Observability Tools 8.5/10 Pricing on request · 30-day trial Free trial✓ 1 of 5 features Visit Elementary

Datadog Data Observability leads on 0 checks, Elementary on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDatadog Data Observability · 9.3/10
  • Free trialboth

Datadog Data Observability scores higher on our rubric for data observability tools: 9.3 against 8.5 out of 10; our editors rank them #1 and #7.

Datadog Data Observability is the better fit for teams already using Datadog. Elementary is the better fit for dbt teams wanting observability and health context.

  • Datadog Data Observability fits best

    Teams already using Datadog

  • Elementary fits best

    dbt teams wanting observability and health context

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Side by side

Feature Datadog Data Observability 9.3/10 Visit ↗ Elementary 8.5/10 Visit ↗
At a glance
Editor score 9.3 8.5
Ranking #1 in Data Observability Tools #7 in Data Observability Tools
Best for Teams already using Datadog dbt teams wanting observability and health context
Pricing model Paid Paid
Starting price $24/unit/mo —
Free plan — —
Free trial 14 days 30 days
Free trial length 14 days 30 days
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Integrations 1,000+ integrations 20 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Datadog Data Observability 1/5 · Elementary 1/5
Pipeline monitoring Not checked yet Not checked yet
Freshness monitoring ✓ ✓
Schema change detection Not checked yet Not checked yet
Anomaly detection Not checked yet Not checked yet
Data lineage Not checked yet Not checked yet
Specs
Deployment Not checked yet Not checked yet
Our review
Pros
  • Freshness, schema, nullness, uniqueness, and row-count monitoring
  • Lineage and anomaly detection connect data issues to downstream impact
  • Job traces, cost insights, and alerts span Databricks, Airflow, dbt, and more
  • Monitors freshness, volume, schema changes, and quality anomalies
  • Column-level lineage connects incidents to affected downstream assets
  • Cloud and self-hosted deployment with open-source availability
Cons
  • No free plan; access starts with paid usage
  • Cloud deployment only, with no self-hosted option listed
  • Usage-based pricing requires tracking tables, hosts, and job hours
  • Cloud plans use contact-sales pricing
  • No ongoing free plan is listed
  • Scale limits teams to 10 Editor seats and 1K tables
Our verdict

Datadog Data Observability combines Quality Monitoring and Jobs Monitoring for data and DevOps teams. Quality Monitoring checks lakes and warehouses for freshness, row-count, uniqueness, nullness, schema, and other issues, while…

Read the review →

Elementary is a data observability platform from Elementary Data for data and analytics engineers, with a strong fit for teams running dbt pipelines. It monitors production tables for freshness, volume, and schema changes, detects…

Read the review →
  1. Datadog Data ObservabilityData Observability Tools 9.314-day trial
  2. ElementaryData Observability Tools 8.5Pricing on request · 30-day trial

Strengths and trade-offs

  • Datadog Data Observability — where it wins

    • Freshness, schema, nullness, uniqueness, and row-count monitoring
    • Lineage and anomaly detection connect data issues to downstream impact
    • Job traces, cost insights, and alerts span Databricks, Airflow, dbt, and more

    Where it doesn't

    • No free plan; access starts with paid usage
    • Cloud deployment only, with no self-hosted option listed
    • Usage-based pricing requires tracking tables, hosts, and job hours

  • Elementary — where it wins

    • Monitors freshness, volume, schema changes, and quality anomalies
    • Column-level lineage connects incidents to affected downstream assets
    • Cloud and self-hosted deployment with open-source availability

    Where it doesn't

    • Cloud plans use contact-sales pricing
    • No ongoing free plan is listed
    • Scale limits teams to 10 Editor seats and 1K tables
  • Datadog Data Observability9.3/10 · 14-day trial

    A Datadog-native view of data quality, lineage, pipeline jobs, and costs.

    Visit DatadogFull verdict →
  • Elementary8.5/10 · Pricing on request · 30-day trial

    A dbt-focused observability platform combining tests, anomaly detection, lineage, and cost insight.

    Visit ElementaryFull verdict →

More comparisons

All data observability tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update