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 formatsJSON Markdown GraphQLor send Accept: application/json

Apache Spark61

★Prefect70

Attribute comparison across 2 tools
Attribute	Apache Spark	PrefectLeader
Vioscale score	61 / 100low · 38%	70 / 100high · 76%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	commercial	commercial
Price levelpricing.price_level	free	high
Transparentpricing.transparent	✓	✓
Integrations
Countintegrations.count	5	5
Security
Disclosure policysecurity.disclosure_policy	✓	-
Gdprsecurity.gdpr	-	✓
Hipaasecurity.hipaa	-	✓
Scorecardsecurity.scorecard	5.6	6.9
Soc2security.soc2	-	✓
Vulnerabilitiessecurity.vulnerabilities	Count: 7 · 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
Reliability
Sla pctreliability.sla_pct	-	99.99
Status pagereliability.status_page	-	✓
Adoption
Dependent reposadoption.dependent_repos	8,896	767
Github starsadoption.github_stars	43,882	23,691
Package downloads weeklyadoption.package_downloads_weekly	-	2,710,819
Activity
Commits last 30dactivity.commits_last_30d	100	100
Release
Cadence daysrelease.cadence_days	-	1
Historyrelease.history	-	20 items
License
Spdxlicense.spdx	Apache-2.0	Apache-2.0
Language
Primarylanguage.primary	Scala	Python
Market
Availabilitymarket.availability	Available worldwide	Available worldwide

Score

Vioscale score

Apache Spark61 / 100low · 38%

Prefect70 / 100high · 76%

Pricing

Free tier

Apache Spark✓

Prefect✓

Model

Apache Sparkcommercial

Prefectcommercial

Price level

Apache Sparkfree

Prefecthigh

Transparent

Apache Spark✓

Prefect✓

Integrations

Count

Apache Spark5

Prefect5

Security

Disclosure policy

Apache Spark✓

Prefect–

Gdpr

Apache Spark–

Prefect✓

Hipaa

Apache Spark–

Prefect✓

Scorecard

Apache Spark5.6

Prefect6.9

Soc2

Apache Spark–

Prefect✓

Vulnerabilities

Apache SparkCount: 7 · 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

PrefectCount: 8 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=prefect&per_page=100 · Last 12m: 6 · Max severity: HIGH

Reliability

Sla pct

Apache Spark–

Prefect99.99

Status page

Apache Spark–

Prefect✓

Adoption

Dependent repos

Apache Spark8,896

Prefect767

Github stars

Apache Spark43,882

Prefect23,691

Package downloads weekly

Apache Spark–

Prefect2,710,819

Activity

Commits last 30d

Apache Spark100

Prefect100

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

Apache SparkAvailable worldwide

PrefectAvailable worldwide

Capabilities

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

Capability comparison for 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)	✓	✓

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

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.

Independently observed

Prefect

Leader

A workflow orchestration platform that enables teams to build resilient automated processes using Python, with features like automatic retries, state tracking, and run observability. Supports flexible deployment options ranging from managed cloud infrastructure to self-hosted environments on Kubernetes or user-provided compute.

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 2026-08-14verify ↗

Prefect

Leader

from $100/moSubscriptionFree tier

Free tier. Starter from $100/mo. Team at $100/user/mo. Enterprise custom pricing.

HobbyFree
- workflow scheduling
- workflow observability
- logging & alerting
Starter$100/mo
- bring your own compute
- webhooks
- API access
Team$100/user/mo
- service accounts
- audit logging
- team collaboration
EnterpriseContact sales
- SSO (SAML/OIDC)
- RBAC with object-level ACLs
- multiple workspaces
- directory sync (SCIM)
- IP allowlisting
- +1 more

as of 2026-08-14verify ↗

Platform & deployment

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

Platform and deployment support comparison
Supports	Apache Spark	Prefect
WebPlatforms	✗	✓
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✗	✓
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✗
HybridDeployment	✗	✓

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.

Apache Spark

5 total

Hadoop
HDFS
YARN
Kubernetes
Docker

Independently observed

Prefect

Leader

5 total

Pydantic AI
OpenAI
AWS Secrets Manager
HashiCorp Vault
dbt

Independently observed

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