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Comparison

Dagster vs Fivetran

Dagster and Fivetran both land on Depends.

Dagster

Depends
Confidence: Medium

Buy it if you have a real data engineering team building Python pipelines that need lineage, observability, and scheduling.

Dagster versus Fivetran
CompareDagsterFivetran
VerdictDependsDepends
Best forPython-savvy data engineering teamsWarehouse-centric data teams
Who it's not forSmall teams that just need scheduled scripts . use cronSmall teams with one or two sources
PrivacyPublished security page with SSO/RBAC/audit logging; one disclosed 2025 local-file-inclusion CVE in the gRPC server.No known public vulnerabilities found in the sources reviewed.
Support qualityNo support evidence in sourcesComparisons report mixed support quality
Public sentimentPractitioners praise the asset-centric model and local developer experience, with little complaint volume in public sources.Marketplace and comparison sources rate it 4.3/5 on G2 across 779 reviews, praising automation while flagging mixed support and usage-based costs.11
Biggest gotchaDagster is joining Prefect; expect product, roadmap, and possibly pricing changes during integration³Pricing is usage-based and unpublished; expect bill growth as synced volume rises.10

Pick Dagster when

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

When Dagster is not a fit

  • 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

Pick Fivetran when

  • Warehouse-centric data teams
  • Many SaaS and database sources
  • No-code managed ELT
  • Mid-size to enterprise

When Fivetran is not a fit

  • Small teams with one or two sources
  • Anyone without a warehouse to load into
  • Tight budgets . metered pricing surprises
  • Teams wanting open-source control

Sources

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