vioscaleAI
Comparison

Apache Spark vs Prefect

On the evidence we track, Prefect leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Apache Spark full profile →Prefect full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Apache Spark52
★Prefect70
Score
vioscaleAI score
Apache Spark52 / 100low · 34%
Prefect70 / 100high · 76%
Pricing
Free tier
Apache Spark✓
Prefect✓
Model
Apache Sparkcommercial
Prefectfreemium
Price level
Apache Sparkfree
Prefecthigh
Starting price
Apache Spark–
Prefect$100
Transparent
Apache Spark✓
Prefect✓
Integrations
Count
Apache Spark5
Prefect6
Security
Certifications
Apache Spark–
PrefectSOC 2 Type II
Disclosure policy
Apache Spark✓
Prefect✓
Gdpr
Apache Spark–
Prefect✓
Hipaa
Apache Spark–
Prefect✓
Scorecard
Apache Spark5.6
Prefect6.9
Soc2
Apache Spark–
Prefect✓
Trust center
Apache Spark–
Prefecthttps://www.prefect.io/security
Vulnerabilities
Reliability
Sla pct
Apache Spark–
Prefect99.9
Status page
Apache Spark–
Prefect✓
Adoption
Dependent repos
Apache Spark8,896
Prefect767
Github stars
Apache Spark44,188
Prefect23,966
Package downloads weekly
Apache Spark–
Prefect2,710,819
Activity
Commits last 30d
Apache Spark100
Prefect98
Release
Cadence days
Apache Spark–
Prefect1
History
Apache Spark–
Prefect20 items
License
Spdx
Apache SparkApache-2.0
PrefectApache-2.0
Language
Primary
Apache SparkScala
PrefectPython
Market
Availability
Content
Faq
Apache Spark6 items
Prefect7 items

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
Apache SparkProcessing engine
PrefectOrchestrator
Processing paradigm
Apache SparkBatch + streaming
PrefectBatch
Connectivity
Connector count
Apache Spark-
PrefectNot specified
CDC / log-based replication
Apache Spark-
Prefect-
Transformation
In-warehouse transformation (push-down)
Apache Spark-
Prefect-
dbt-native orchestration
Apache Spark-
Prefect✓
Deployment
Self-hosted / open-source available
Apache Spark✓
Prefect✓
Managed cloud available
Apache Spark-
Prefect✓
Governance
Data lineage / asset catalog
Apache Spark-
Prefect✓
Authoring
Python-first authoring
Apache Spark-
Prefect✓
Execution
Incremental / partition-aware runs
Apache Spark-
Prefect✓
Quality
Built-in data quality / tests
Apache Spark-
Prefect-
Scale
Horizontal scale (distributed executor)
Apache Spark✓
Prefect✓

What each one is

The product in its own terms, so the numbers below have context.

Apache Spark

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.

Independently observed

Prefect

Leader

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.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Apache Spark

Open sourceFree tier
as of verify ↗

Prefect

Leader
from $100/moSubscriptionFree tier

Free Hobby tier. Starter from $100/month. Team per-user monthly pricing. Enterprise custom quote.

  • HobbyFree
    • Workflow scheduling
    • Up to 5 deployments
    • 500 minutes of Prefect Serverless
    • Workflow observability
    • Logging & alerting
    • +1 more
  • Starter$100/mo
    • All Hobby features
    • Up to 20 deployments
    • 75 hours of Prefect Serverless
    • Bring your own compute
    • Webhooks
    • +1 more
  • Team-
    • All Starter features
    • Up to 100 deployments
    • 225 hours of Prefect Serverless
    • Service accounts
    • 24 hour audit log
  • EnterpriseContact sales
    • All Team features
    • SSO (SAML/OIDC)
    • RBAC + ACLs
    • Multiple workspaces
    • Directory Sync (SCIM)
    • +2 more
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Apache Spark✗
Prefect✓
CLI
Apache Spark✓
Prefect✓
Deployment
Cloud / SaaS
Apache Spark✗
Prefect✓
Self-hosted
Apache Spark✓
Prefect✓
On-premise
Apache Spark✓
Prefect✗
Hybrid
Apache Spark✗
Prefect✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)
  • Kubernetes
  • Docker

Apache Spark

5 total - 3 not shared
  • Hadoop
  • HDFS
  • YARN
Independently observed

Prefect

Leader
14 total - 12 not shared
  • Pydantic AI
  • OpenAI
  • AWS Secrets Manager
  • HashiCorp Vault
  • dbt
  • Slack
  • Snowflake
  • Redis
  • Amazon ECS
  • Google Cloud Run
  • GitHub
  • AWS
Independently observed
Still deciding?

Apache Spark or Prefect: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.