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Head-to-head · DataOps Platforms

Apache NiFi vs Dagster

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Apache NiFi #4 in DataOps Platforms 8.9/10 Open source ✓ 0 of 4 features Visit Apache NiFi
Dagster #8 in DataOps Platforms 8.5/10 Free plan · 30-day trial Free planFree trial✓ 0 of 4 features Visit Dagster

Apache NiFi leads on 0 checks, Dagster on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache NiFi · 8.9/10
  • Free planonly Dagster
  • Free trialonly Dagster

Apache NiFi scores higher on our rubric for dataops platforms: 8.9 against 8.5 out of 10; our editors rank them #4 and #8.

Apache NiFi is the better fit for teams managing secure, observable dataflows. Dagster is the better fit for data teams focused on assets, lineage, and quality.

  • Apache NiFi fits best

    Teams managing secure, observable dataflows

  • Dagster fits best

    Data teams focused on assets, lineage, and quality

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Side by side

Feature Apache NiFi 8.9/10 Visit ↗ Dagster 8.5/10 Visit ↗
At a glance
Editor score 8.9 8.5
Ranking #4 in DataOps Platforms #8 in DataOps Platforms
Best for Teams managing secure, observable dataflows Data teams focused on assets, lineage, and quality
Pricing model Free Free plan + paid
Starting price Open source $10/mo
Free plan Not checked yet ✓ (best)
Free trial — 30 days
Deployment Self-hosted Cloud, Self-hosted
Platforms Web, Windows, macOS, Linux Web
Support Community, Docs Community, Docs, Live chat
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache NiFi 0/4 · Dagster 0/4
Workflow scheduling Not checked yet Not checked yet
Pipeline monitoring Not checked yet Not checked yet
Data quality checks Not checked yet Not checked yet
Version control Not checked yet Not checked yet
Specs
Deployment options Not checked yet Not checked yet
Supported integrations Not checked yet Not checked yet
Our review
Pros
  • Visual browser interface for designing, monitoring, and modifying dataflows
  • Fine-grained provenance and lineage tracking across dataflows
  • TLS, access controls, and back pressure support controlled delivery
  • Tracks asset dependencies and lineage with freshness and quality checks
  • Supports schedules, event-driven sensors, retries, partitions, and backfills
  • Integrates with dbt, Snowflake, Fivetran, Spark, and Databricks
Cons
  • Requires installation and management in your own environment
  • No named integrations or pricing details are presented
  • Custom processor development can add engineering work
  • Solo is limited to 1 user, 1 code location, and 1 deployment
  • Starter costs $100/month and supports up to 3 users
  • Pro requires a sales conversation, and usage-based charges can apply
Our verdict

Apache NiFi is an open-source dataflow system for routing, transforming, mediating, and distributing data. Its browser-based interface lets teams design, control, monitor, and modify flows built from processors, connections, ports, and…

Read the review →

Dagster is a data orchestration framework and platform for data engineering teams building analytics, machine learning, AI, ingestion, and transformation workflows. Its asset-based model connects dependencies, lineage, metadata, execution,…

Read the review →
  1. Apache NiFiDataOps Platforms 8.9Open source
  2. DagsterDataOps Platforms 8.5Free plan · 30-day trial

Strengths and trade-offs

  • Apache NiFi — where it wins

    • Visual browser interface for designing, monitoring, and modifying dataflows
    • Fine-grained provenance and lineage tracking across dataflows
    • TLS, access controls, and back pressure support controlled delivery

    Where it doesn't

    • Requires installation and management in your own environment
    • No named integrations or pricing details are presented
    • Custom processor development can add engineering work

  • Dagster — where it wins

    • Tracks asset dependencies and lineage with freshness and quality checks
    • Supports schedules, event-driven sensors, retries, partitions, and backfills
    • Integrates with dbt, Snowflake, Fivetran, Spark, and Databricks

    Where it doesn't

    • Solo is limited to 1 user, 1 code location, and 1 deployment
    • Starter costs $100/month and supports up to 3 users
    • Pro requires a sales conversation, and usage-based charges can apply

More comparisons

All DataOps platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update