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Dagster Review

Depends

Should I use Dagster?

Data orchestrator platform to build, schedule, and monitor reliable data pipelines. - dagster.io

· 1 month ago

Buy it if you have a real data engineering team building Python pipelines that need lineage, observability, and scheduling. Skip it if you just run a few scripts — cron, Airflow, or Prefect is simpler, and Dagster is mid-merge with Prefect anyway.

Confidence

Medium. Based on ~15 public sources; pricing and support evidence is thin.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence in sources
  • Security posture

Pricing

$0

Open Source

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes

Best for

  • Python-savvy data engineering teams
  • dbt-centric analytics stacks
  • Teams needing asset lineage and observability
  • AI/data pipeline platforms

Not for

  • Small teams that just need scheduled scripts — use cron
  • Non-Python shops without engineers to own it
  • Buyers wanting zero-infra managed ingestion — use Fivetran
  • Risk-averse buyers: vendor is merging into Prefect

Gotchas - check before you buy

high

Dagster is joining Prefect; expect product, roadmap, and possibly pricing changes during integration

high

Disclosed LFI CVE targeted the gRPC server; restrict access and patch promptly

medium

Self-hosting the free core means you own upgrades, patching, and security for the gRPC layer

medium

Published pricing not found in sources; likely sales-led — negotiate and get multi-year protection

Pros and cons

Pros

  • Asset-centric orchestration model praised by practitioners
  • Open source, cloud-native, full development lifecycle
  • Integrated lineage and observability out of the box
  • Enterprise features: SAML SSO, RBAC, audit logs
  • Widely recommended in the dbt community

Cons

  • CVE-2025-51481: arbitrary file read via gRPC notebook endpoint
  • Dagster is joining Prefect — roadmap uncertainty
  • Built for engineers; not analyst-friendly
  • Thin public review volume makes satisfaction hard to verify

Sources & method

- 8 sources - Published security page with SSO/RBAC/audit logging; one disclosed 2025 local-file-inclusion CVE in the gRPC server.

official x3review x2security x2news x1
  • CVE-2025-51481 — LFI in gRPC ExternalNotebookData endpoint, Attackers with access to the gRPC server could read arbitrary files via path traversal in the notebook_path field.

Key stats

  • Value for money: 4/5

    Rating

  • $0

    Starting price

  • 8

    Sources

  • Analyzed

  • Value for money: 4/5. Open-source core; free if self-hosted
  • Ease of use: 4/5. Local developer experience called best in category
  • Feature depth: 4/5. Lineage, observability, catalog, quality built in
  • Support quality. No support evidence in sources
  • Security posture: 3/5. SSO/RBAC/audit logs, but one disclosed LFI CVE
  • 4.5/5 G2 rating low public review volume
  • ~$47M Funding private (Elementl, Inc.)
  • Yes Free tier open-source core, self-hosted

Pricing

Open Source

$0

  • Self-hosted orchestration
  • You manage infrastructure

Security

Published security page with SSO/RBAC/audit logging; one disclosed 2025 local-file-inclusion CVE in the gRPC server.

  • CVE-2025-51481 — LFI in gRPC ExternalNotebookData endpointAttackers with access to the gRPC server could read arbitrary files via path traversal in the notebook_path field.⁵

What users say

Practitioners praise the asset-centric model and local developer experience, with little complaint volume in sources.

“Dagster's local developer experience is one of the best in the category”
Bauplan engineering blog
“In a couple days I was able to make a data processing pipeline that read in an Excel file and use the data to create CAD files and update their properties.”
LinkedIn, Matthew Sommer
“That rebuild is free, no API cost, it just looks at what changed.”
LinkedIn, Casey Phillips

Companies that use it

  • Flo Energy¹
Full analysis

Based on ~15 public sources; pricing and support evidence is thin.

Strong Python-first orchestration for real data teams; overkill for simple jobs; merging with Prefect.

Methodology

Based on ~15 public sources; pricing and support evidence is thin.

Read how a report is made.

Sources

  1. official
  2. official
  3. official
  4. review
  5. security
  6. security
  7. review
  8. news

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