# Apache Spark vs Prefect

**Leader by vioscaleAI score:** Prefect

| Attribute | Apache Spark | Prefect |
|---|---|---|
| **vioscaleAI score** | 51.9 (34% (low)) | 70 (76% (high)) |
| activity.commits_last_30d | 100 | 98 |
| adoption.dependent_repos | 8,896 | 767 |
| adoption.github_stars | 44,188 | 23,966 |
| adoption.package_downloads_weekly | - | 2,710,819 |
| content.faq | `[{"answer":"Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing. It is indexed under Data Engineering Tools.","source":"https://spark.apache.org","question":"What is Apache Spark?","confidence":0.6},{"answer":"Apache Spark is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://spark.apache.org","question":"Is Apache Spark free to use?","confidence":0.6},{"answer":"Apache Spark supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://spark.apache.org","question":"What platforms does Apache Spark support?","confidence":0.6},{"answer":"Yes. Apache Spark can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://spark.apache.org","question":"Can Apache Spark be self-hosted?","confidence":0.6},{"answer":"We have confirmed 5 integrations for Apache Spark, including Hadoop, HDFS, YARN, Kubernetes and Docker. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://spark.apache.org","question":"What does Apache Spark integrate with?","confidence":0.6},{"answer":"Yes. Apache Spark is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/apache/spark","question":"Is Apache Spark open source?","confidence":0.95}]` | `[{"answer":"A workflow orchestration platform where you define workflows as plain Python functions, and Prefect handles scheduling, retries, caching, and recovery automatically. You can run workflows on Prefect's managed cloud infrastructure or deploy workers to your own infrastructure. It is indexed under Data Engineering Tools.","source":"https://www.prefect.io/pricing","question":"What is Prefect?","confidence":0.6},{"answer":"Prefect is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. A commercial or hosted edition starts at $100 per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://www.prefect.io/pricing","question":"Is Prefect free to use?","confidence":0.6},{"answer":"Prefect supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.prefect.io/pricing","question":"What platforms does Prefect support?","confidence":0.6},{"answer":"Yes. Prefect can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.prefect.io/pricing","question":"Can Prefect be self-hosted?","confidence":0.6},{"answer":"We have confirmed 12 integrations for Prefect, including Pydantic AI, OpenAI, AWS Secrets Manager, HashiCorp Vault, dbt, Slack, Snowflake and Redis, plus 4 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.prefect.io/pricing","question":"What does Prefect integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for Prefect. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Prefect not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.prefect.io/security","question":"What security certifications does Prefect have?","confidence":0.7},{"answer":"Yes. Prefect is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/PrefectHQ/prefect","question":"Is Prefect open source?","confidence":0.95}]` |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true,"hybrid":true,"self_hosted":true}` |
| description.long | A data processing framework offering high-level APIs across multiple programming languages and integrated tools for SQL processing, machine learning, graph analysis, and real-time stream processing. | A Python-native workflow automation platform that handles scheduling, retries, caching, and recovery for data pipelines and AI agent workflows, with both cloud-managed and self-hosted execution options. |
| features.capabilities | `{"role":"engine","paradigm":"both","self_hosted_oss":true,"distributed_executor":true}` | `{"role":"orchestrator","lineage":true,"paradigm":"batch","dbt_native":true,"python_first":true,"managed_cloud":true,"connector_count":"Not specified","self_hosted_oss":true,"incremental_runs":true,"distributed_executor":true}` |
| integrations.count | 5 | 6 |
| integrations.list | `[{"name":"Hadoop"},{"name":"HDFS"},{"name":"YARN"},{"name":"Kubernetes"},{"name":"Docker"}]` | `[{"name":"Pydantic AI"},{"name":"OpenAI"},{"name":"AWS Secrets Manager"},{"name":"HashiCorp Vault"},{"name":"dbt"},{"name":"Slack","native":true,"category":"chat"},{"name":"Snowflake","native":true},{"name":"Redis","native":true},{"name":"Kubernetes","native":true},{"name":"Amazon ECS","native":true},{"name":"Docker","native":true},{"name":"Google Cloud Run","native":true},{"name":"GitHub","native":true},{"name":"AWS","native":true}]` |
| language.primary | Scala | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://spark.apache.org","retrievedAt":"2026-08-14T13:48:09.654Z"}` | `{"type":"subscription","plans":[{"free":true,"name":"Hobby","features":["Workflow scheduling","Up to 5 deployments","500 minutes of Prefect Serverless","Workflow observability","Logging & alerting","7 days run retention"],"minSeats":2,"description":"Deploy workflows instantly. Scale when ready.","contactSales":false},{"free":false,"name":"Starter","features":["All Hobby features","Up to 20 deployments","75 hours of Prefect Serverless","Bring your own compute","Webhooks","1,250 API requests/min"],"minSeats":3,"components":[{"kind":"fixed","amount":100,"period":"month","currency":"USD"}],"contactSales":false},{"free":false,"name":"Team","features":["All Starter features","Up to 100 deployments","225 hours of Prefect Serverless","Service accounts","24 hour audit log"],"minSeats":4,"contactSales":false},{"free":false,"name":"Enterprise","features":["All Team features","SSO (SAML/OIDC)","RBAC + ACLs","Multiple workspaces","Directory Sync (SCIM)","IP allowlisting & PrivateLink","Unlimited deployments"],"minSeats":5,"contactSales":true}],"summary":"Free Hobby tier. Starter from $100/month. Team per-user monthly pricing. Enterprise custom quote.","currency":"USD","freeTier":true,"sourceUrl":"https://www.prefect.io/pricing","retrievedAt":"2026-10-05T11:05:17.530Z","startingPrice":{"amount":100,"period":"month","currency":"USD"},"billingPeriods":["month","year"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | high |
| pricing.starting_price | - | `{"amount":100,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 1 |
| release.history | - | `[{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.8.dev3","date":"2026-10-02T08:19:49Z","type":"prerelease","version":"3.8.8.dev3"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.8.dev2","date":"2026-10-01T08:21:27Z","type":"prerelease","version":"3.8.8.dev2"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.8.dev1","date":"2026-09-30T08:20:43Z","type":"prerelease","version":"3.8.8.dev1"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7","date":"2026-09-26T23:41:44Z","type":"stable","version":"3.8.7"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev7","date":"2026-09-26T08:18:02Z","type":"prerelease","version":"3.8.7.dev7"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev6","date":"2026-09-23T08:19:42Z","type":"prerelease","version":"3.8.7.dev6"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev5","date":"2026-09-22T08:19:45Z","type":"prerelease","version":"3.8.7.dev5"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev4","date":"2026-09-19T08:16:49Z","type":"prerelease","version":"3.8.7.dev4"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev3","date":"2026-09-18T08:18:58Z","type":"prerelease","version":"3.8.7.dev3"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev2","date":"2026-09-16T08:19:54Z","type":"prerelease","version":"3.8.7.dev2"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.7.dev1","date":"2026-09-15T08:20:02Z","type":"prerelease","version":"3.8.7.dev1"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6","date":"2026-09-14T14:18:53Z","type":"stable","version":"3.8.6"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6.dev5","date":"2026-09-12T08:16:39Z","type":"prerelease","version":"3.8.6.dev5"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6.dev4","date":"2026-09-11T08:19:03Z","type":"prerelease","version":"3.8.6.dev4"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6.dev3","date":"2026-09-10T08:19:23Z","type":"prerelease","version":"3.8.6.dev3"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6.dev2","date":"2026-09-09T08:19:24Z","type":"prerelease","version":"3.8.6.dev2"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.6.dev1","date":"2026-09-05T08:16:23Z","type":"prerelease","version":"3.8.6.dev1"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.5","date":"2026-09-03T21:25:46Z","type":"stable","version":"3.8.5"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/3.8.5.dev6","date":"2026-09-03T08:19:56Z","type":"prerelease","version":"3.8.5.dev6"},{"url":"https://github.com/PrefectHQ/prefect/releases/tag/2.20.26","date":"2026-09-02T18:17:41Z","type":"stable","version":"2.20.26"}]` |
| reliability.sla_pct | - | 99.9 |
| reliability.status_page | - | yes |
| security.certifications | - | `[{"name":"SOC 2 Type II","status":"active"}]` |
| security.disclosure_policy | yes | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.scorecard | 5.6 | 6.9 |
| security.soc2 | - | yes |
| security.trust_center | - | https://www.prefect.io/security |
| security.vulnerabilities | `{"count":9,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=org.apache.spark%3Aspark-core_2.10&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` | `{"count":8,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=prefect&per_page=100","last_12m":6,"max_severity":"HIGH"}` |

## Capabilities (Data Engineering Tools)

| Capability | Apache Spark | Prefect |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Processing engine | Orchestrator |
| Processing paradigm | Batch + streaming | Batch |
| **Connectivity** |  |  |
| Connector count | - | Not specified |
| CDC / log-based replication | - | - |
| **Transformation** |  |  |
| In-warehouse transformation (push-down) | - | - |
| dbt-native orchestration | - | ✓ |
| **Deployment** |  |  |
| Self-hosted / open-source available | ✓ | ✓ |
| Managed cloud available | - | ✓ |
| **Governance** |  |  |
| Data lineage / asset catalog | - | ✓ |
| **Authoring** |  |  |
| Python-first authoring | - | ✓ |
| **Execution** |  |  |
| Incremental / partition-aware runs | - | ✓ |
| **Quality** |  |  |
| Built-in data quality / tests | - | - |
| **Scale** |  |  |
| Horizontal scale (distributed executor) | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T19:21:55.062Z. "-" = undocumented, not absent.*