The Best DataOps Platforms in 2026
We researched DataOps platforms using information on their official websites, including pricing pages, plan tables, and product documentation. The rankings focus on each product’s core DataOps job, value for money, and verified features, helping teams compare options for building and operating reliable data workflows.
Our top picks
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Top ranked
Apache Airflow#1 of 169.3/10A Python-first orchestrator for teams running scheduled and event-driven workflows.
Free plan
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Runner-up
BMC Control-M#2 of 169.1/10Coordinates application and data workflows across cloud, on-premises, hybrid, and mainframe environments.
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Top-ranked free plan
Apache Hop#3 of 169.0/10A broad, free visual ETL platform for teams building repeatable pipelines.
Free plan
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
The full ranking 16 tools, best first
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Best forTeams wanting proven Python workflow orchestration
A Python-first orchestrator for teams running scheduled and event-driven workflows.
9.3/10★★★★★Visit Apache Airflow -
Best forEnterprises orchestrating hybrid data and application jobs
Coordinates application and data workflows across cloud, on-premises, hybrid, and mainframe environments.
9.1/10★★★★★Visit BMC Control-M -
Best forTeams building visual ETL and data pipelines
A broad, free visual ETL platform for teams building repeatable pipelines.
9.0/10★★★★☆Visit Apache Hop -
Best forTeams managing secure, observable dataflows
A self-hosted, visual dataflow system with provenance and delivery controls.
8.9/10★★★★☆Visit Apache NiFi -
Best forTeams seeking managed connectors and flexible pipelines
A broad data operations platform with a free project and enterprise deployment options.
8.8/10★★★★☆Visit Keboola -
Best forTeams wanting visual workflows and approval gates
Visual and YAML workflow orchestration with broad triggers, plugin integrations, and approval gates.
8.7/10★★★★☆Visit Kestra -
Best forPython teams needing observable hybrid orchestration
Python-defined workflows with observability, retries, and hybrid execution.
8.6/10★★★★☆Visit Prefect -
Best forData teams focused on assets, lineage, and quality
A flexible orchestration platform for teams managing data assets and production pipelines.
8.5/10★★★★☆Visit Dagster -
Best forTeams building monitored, tested data pipelines
Mage combines tested, monitored pipelines with cloud, hybrid, and self-hosted deployment.
- Workflow scheduling
- Pipeline monitoring
- Version control
8.3/10★★★★☆Visit Mage -
Best forEnterprises automating SAP and Oracle workloads
Enterprise orchestration for hybrid SAP, Oracle, and data workloads.
8.2/10★★★★☆Visit Redwood -
Best forEnterprises coordinating hybrid IT workloads
Enterprise workload automation spanning workflows, infrastructure, and data pipelines.
8.1/10★★★★☆Visit Stonebranch -
Best forEnterprises coordinating cross-platform scheduled jobs
Centralizes scheduled and event-driven workflows across enterprise platforms.
8.0/10★★★★☆Visit site -
Best forTeams running containerized Python workflows
A self-hosted Python orchestrator with scheduling, recovery, and execution visibility.
7.9/10★★★★☆Visit Flyte -
Best forML teams tracking experiments and workflow artifacts
Metaflow connects Python workflow authoring with experiment tracking and cloud execution.
7.8/10★★★★☆Visit Metaflow -
Best forPython teams coordinating straightforward batch tasks
A free, Python-first batch orchestrator with retries and scheduling, but no event triggers.
7.4/10★★★★☆Visit Luigi -
Best forTeams adding SQL-based data quality testing
A focused, self-hosted platform for profiling databases and running SQL quality tests.
- Data quality checks
6.9/10★★★☆☆Visit DataKitchen
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Score |
|---|---|---|---|---|
| 1 | Apache Airflow | Yes | Free | 9.3 |
| 2 | BMC Control-M | No | $2,400/mo | 9.1 |
| 3 | Apache Hop | Yes | Free | 9.0 |
| 4 | Apache NiFi | Free | 8.9 | |
| 5 | Keboola | Yes | $0.14/unit usage-based | 8.8 |
| 6 | Kestra | Yes | Free | 8.7 |
| 7 | Prefect | Yes | $100/mo | 8.6 |
| 8 | Dagster | Yes | $10/mo | 8.5 |
| 9 | Mage | Yes | $29/mo | 8.3 |
| 10 | RunMyJobs by Redwood | No | 8.2 | |
| 11 | Stonebranch Universal Automation Center | 8.1 | ||
| 12 | Tidal Workload Automation | No | 8.0 | |
| 13 | Flyte | Yes | Free | 7.9 |
| 14 | Metaflow | Yes | Free | 7.8 |
| 15 | Luigi | Yes | Free | 7.4 |
| 16 | DataKitchen TestGen | Yes | $100/user/mo | 6.9 |
Head-to-head All 25 comparisons →
- Apache Airflow vs Apache Hop
- Apache Airflow vs Apache NiFi
- Apache Airflow vs Keboola
- Apache Airflow vs Kestra
- Apache Airflow vs Prefect
- Apache Airflow vs Dagster
- BMC Control-M vs Apache Hop
- BMC Control-M vs Apache NiFi
- BMC Control-M vs Keboola
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How we rank DataOps platforms
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update