Comparison

Apache NiFi vs Apache Spark

On the evidence we track, Apache NiFi leads this comparison with a composite score of 68/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Apache NiFi full profile →Apache Spark full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

★Apache NiFi68

Apache Spark61

Attribute comparison across 2 tools
Attribute	Apache NiFiLeader	Apache Spark
Vioscale score	68 / 100low · 39%	61 / 100low · 38%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	open_source	commercial
Price levelpricing.price_level	free	free
Transparentpricing.transparent	✓	✓
Integrations
Countintegrations.count	200	5
Security
Disclosure policysecurity.disclosure_policy	-	✓
Scorecardsecurity.scorecard	7	5.6
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
Adoption
Dependent reposadoption.dependent_repos	-	8,896
Github starsadoption.github_stars	6,208	43,882
Activity
Commits last 30dactivity.commits_last_30d	93	100
Release
Cadence daysrelease.cadence_days	40	-
Historyrelease.history	2 items	-
License
Spdxlicense.spdx	Apache-2.0	Apache-2.0
Language
Primarylanguage.primary	Java	Scala
Market
Availabilitymarket.availability	Available worldwide	Available worldwide

Score

Vioscale score

Apache NiFi68 / 100low · 39%

Apache Spark61 / 100low · 38%

Pricing

Free tier

Apache NiFi✓

Apache Spark✓

Model

Apache NiFiopen_source

Apache Sparkcommercial

Price level

Apache NiFifree

Apache Sparkfree

Transparent

Apache NiFi✓

Apache Spark✓

Integrations

Count

Apache NiFi200

Apache Spark5

Security

Disclosure policy

Apache NiFi–

Apache Spark✓

Scorecard

Apache NiFi7

Apache Spark5.6

Vulnerabilities

Apache NiFi–

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

Adoption

Dependent repos

Apache NiFi–

Apache Spark8,896

Github stars

Apache NiFi6,208

Apache Spark43,882

Activity

Commits last 30d

Apache NiFi93

Apache Spark100

Release

Cadence days

Apache NiFi40

Apache Spark–

History

Apache NiFi2 items

Apache Spark–

License

Spdx

Apache NiFiApache-2.0

Apache SparkApache-2.0

Language

Primary

Apache NiFiJava

Apache SparkScala

Market

Availability

Apache NiFiAvailable worldwide

Apache SparkAvailable 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 NiFi	Apache Spark
Core
Tool role	Orchestrator	Processing engine
Processing paradigm	Batch + streaming	Batch + streaming
Connectivity
Connector count	200+	-
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 NiFiOrchestrator

Apache SparkProcessing engine

Processing paradigm

Apache NiFiBatch + streaming

Apache SparkBatch + streaming

Connectivity

Connector count

Apache NiFi200+

Apache Spark-

CDC / log-based replication

Apache NiFi✓

Apache Spark-

Transformation

In-warehouse transformation (push-down)

Apache NiFi✗

Apache Spark-

dbt-native orchestration

Apache NiFi-

Apache Spark-

Deployment

Self-hosted / open-source available

Apache NiFi✓

Apache Spark✓

Managed cloud available

Apache NiFi-

Apache Spark-

Governance

Data lineage / asset catalog

Apache NiFi✓

Apache Spark-

Authoring

Python-first authoring

Apache NiFi-

Apache Spark-

Execution

Incremental / partition-aware runs

Apache NiFi-

Apache Spark-

Quality

Built-in data quality / tests

Apache NiFi✓

Apache Spark-

Scale

Horizontal scale (distributed executor)

Apache NiFi-

Apache Spark✓

What each one is

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

Apache NiFi

Leader

Apache NiFi is an open-source data orchestration platform that enables reliable, guaranteed-delivery processing and routing of data flows with complete tracking and provenance. It provides visual pipeline design, real-time configuration changes, and extensive integrations with enterprise systems, cloud services, and data platforms.

Independently observed

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

Pricing

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

Apache NiFi

Leader

Open sourceFree tier

as of 2026-08-13verify ↗

Apache Spark

Open sourceFree tier

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 NiFi	Apache Spark
WebPlatforms	✓	✗
WindowsPlatforms	✓	✗
LinuxPlatforms	✓	✗
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✓	✗
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✓

Platforms

Web

Apache NiFi✓

Apache Spark✗

Windows

Apache NiFi✓

Apache Spark✗

Linux

Apache NiFi✓

Apache Spark✗

CLI

Apache NiFi✓

Apache Spark✓

Deployment

Cloud / SaaS

Apache NiFi✓

Apache Spark✗

Self-hosted

Apache NiFi✓

Apache Spark✓

On-premise

Apache NiFi✓

Apache Spark✓

Integrations

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

Apache NiFi

Leader

50 total

Amazon S3
Amazon SQS
Amazon DynamoDB
Amazon Lambda
Amazon Kinesis
Amazon Polly
Amazon Transcribe
Amazon Translate
Amazon Textract
CloudWatch
Azure Blob Storage
Azure Data Lake Storage
Azure Event Hub
Azure Cosmos DB
Azure Data Explorer
Azure Queue Storage
Google Cloud Pub/Sub
Google BigQuery
Google Cloud Vision
Google Drive
Apache Kafka
Apache MQTT
Apache JMS
MongoDB
+26 more

Independently observed

Apache Spark

5 total

Hadoop
HDFS
YARN
Kubernetes
Docker

Independently observed

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