Comparison

Apache Spark vs Estuary Flow

On the evidence we track, Estuary Flow leads this comparison with a composite score of 80/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Apache Spark full profile →Estuary Flow full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

Apache Spark61

★Estuary Flow80

Attribute comparison across 2 tools
Attribute	Apache Spark	Estuary FlowLeader
Vioscale score	61 / 100low · 38%	80 / 100medium · 71%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	commercial	freemium
Price levelpricing.price_level	free	low
Transparentpricing.transparent	✓	✓
Integrations
Countintegrations.count	5	200
Security
Disclosure policysecurity.disclosure_policy	✓	-
Gdprsecurity.gdpr	-	✓
Hipaasecurity.hipaa	-	✓
Scorecardsecurity.scorecard	5.6	-
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	-
Reliability
Sla pctreliability.sla_pct	-	99.9
Status pagereliability.status_page	-	✓
Adoption
Dependent reposadoption.dependent_repos	8,896	-
Github starsadoption.github_stars	43,882	-
Activity
Commits last 30dactivity.commits_last_30d	100	-
License
Spdxlicense.spdx	Apache-2.0	-
Language
Primarylanguage.primary	Scala	-
Market
Availabilitymarket.availability	Available worldwide	-

Score

Vioscale score

Apache Spark61 / 100low · 38%

Estuary Flow80 / 100medium · 71%

Pricing

Free tier

Apache Spark✓

Estuary Flow✓

Model

Apache Sparkcommercial

Estuary Flowfreemium

Price level

Apache Sparkfree

Estuary Flowlow

Transparent

Apache Spark✓

Estuary Flow✓

Integrations

Count

Apache Spark5

Estuary Flow200

Security

Disclosure policy

Apache Spark✓

Estuary Flow–

Gdpr

Apache Spark–

Estuary Flow✓

Hipaa

Apache Spark–

Estuary Flow✓

Scorecard

Apache Spark5.6

Estuary Flow–

Soc2

Apache Spark–

Estuary Flow✓

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

Estuary Flow–

Reliability

Sla pct

Apache Spark–

Estuary Flow99.9

Status page

Apache Spark–

Estuary Flow✓

Adoption

Dependent repos

Apache Spark8,896

Estuary Flow–

Github stars

Apache Spark43,882

Estuary Flow–

Activity

Commits last 30d

Apache Spark100

Estuary Flow–

License

Spdx

Apache SparkApache-2.0

Estuary Flow–

Language

Primary

Apache SparkScala

Estuary Flow–

Market

Availability

Apache SparkAvailable worldwide

Estuary Flow–

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	Estuary Flow
Core
Tool role	Processing engine	ELT / ingestion
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 SparkProcessing engine

Estuary FlowELT / ingestion

Processing paradigm

Apache SparkBatch + streaming

Estuary FlowBatch + streaming

Connectivity

Connector count

Apache Spark-

Estuary Flow200+

CDC / log-based replication

Apache Spark-

Estuary Flow✓

Transformation

In-warehouse transformation (push-down)

Apache Spark-

Estuary Flow-

dbt-native orchestration

Apache Spark-

Estuary Flow-

Deployment

Self-hosted / open-source available

Apache Spark✓

Estuary Flow✓

Managed cloud available

Apache Spark-

Estuary Flow✓

Governance

Data lineage / asset catalog

Apache Spark-

Estuary Flow-

Authoring

Python-first authoring

Apache Spark-

Estuary Flow-

Execution

Incremental / partition-aware runs

Apache Spark-

Estuary Flow✓

Quality

Built-in data quality / tests

Apache Spark-

Estuary Flow-

Scale

Horizontal scale (distributed executor)

Apache Spark✓

Estuary Flow✓

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

Estuary Flow

Leader

Estuary provides real-time and batch data movement across hundreds of systems using log-based change capture, event streaming, and traditional extract-load patterns, all without requiring code or infrastructure management. It's designed to power analytics, operational systems, and AI applications with sub-100ms latency in a single managed service.

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 ↗

Estuary Flow

Leader

from $0.50/moUsage-basedFree tier30-day trial

Usage-based: $0.50/GB + $100/connector/month. Free tier: 10GB/month.

Developer FreeFree
- Access to Cloud Plan features
- 10GB/month data limit
- 2 concurrent connectors
- Cloud deployment
Cloud$0.50/GB + $100/connector, billed monthly
- 200+ fully-managed connectors
- Unlimited users
- Millisecond latency or batch
- Role-based access control (RBAC)
- Bring your own cloud storage
- +8 more
EnterpriseContact sales
- All Cloud features
- Volume-based discounts
- SOC 2 & HIPAA compliance reports
- Single sign-on (SSO)
- Custom SLA terms
- +9 more

as of 2026-08-03verify ↗

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	Estuary Flow
WebPlatforms	✗	✓
CLIPlatforms	✓	✗
Cloud / SaaSDeployment	✗	✓
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✗

Platforms

Web

Apache Spark✗

Estuary Flow✓

CLI

Apache Spark✓

Estuary Flow✗

Deployment

Cloud / SaaS

Apache Spark✗

Estuary Flow✓

Self-hosted

Apache Spark✓

Estuary Flow✓

On-premise

Apache Spark✓

Estuary Flow✗

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

Estuary Flow

Leader

27 total

Oracle
MySQL
PostgreSQL
Amazon S3
Google Cloud Storage
Azure Blob Storage
NetSuite
HubSpot
Salesforce
Google Pub/Sub
Amazon Kinesis
Apache Kafka
Snowflake
Google BigQuery
Amazon Redshift
Elasticsearch
MongoDB
Amazon DynamoDB
Pinecone
OpenAI
Databricks
Facebook Ads
LinkedIn Ads
Google Ads
+3 more

Independently observed

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