Comparison

Airbyte vs Apache Spark

On the evidence we track, Airbyte 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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Airbyte68
Apache Spark52
Score
vioscaleAI score
Airbyte68 / 100medium · 73%
Apache Spark52 / 100low · 34%
Pricing
Free tier
Airbyte✓
Apache Spark✓
Model
Airbytefreemium
Apache Sparkcommercial
Price level
Airbytelow
Apache Sparkfree
Transparent
Airbyte✗
Apache Spark✓
Integrations
Count
Airbyte50
Apache Spark5
Security
Certifications
Apache Spark–
Disclosure policy
Airbyte–
Apache Spark✓
Gdpr
Airbyte✓
Apache Spark–
Hipaa
Airbyte✓
Apache Spark–
Iso27001
Airbyte✓
Apache Spark–
Scorecard
Airbyte4.8
Apache Spark5.6
Soc2
Airbyte✓
Apache Spark–
Reliability
Sla pct
Airbyte99.9
Apache Spark–
Status page
Airbyte✓
Apache Spark–
Adoption
Dependent repos
Airbyte7
Apache Spark8,896
Github stars
Airbyte22,223
Apache Spark44,188
Package downloads weekly
Airbyte269,893
Apache Spark–
Activity
Commits last 30d
Airbyte100
Apache Spark100
Release
Cadence days
Airbyte7
Apache Spark–
History
Airbyte20 items
Apache Spark–
License
Spdx
Airbyte–
Apache SparkApache-2.0
Language
Primary
AirbytePython
Apache SparkScala
Market
Content
Faq
Airbyte7 items
Apache Spark6 items

Capabilities

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

Core
Tool role
AirbyteELT / ingestion
Apache SparkProcessing engine
Processing paradigm
AirbyteBatch + streaming
Apache SparkBatch + streaming
Connectivity
Connector count
Airbyte50+
Apache Spark-
CDC / log-based replication
Airbyte✓
Apache Spark-
Transformation
In-warehouse transformation (push-down)
Airbyte-
Apache Spark-
dbt-native orchestration
Airbyte-
Apache Spark-
Deployment
Self-hosted / open-source available
Airbyte✓
Apache Spark✓
Managed cloud available
Airbyte✓
Apache Spark-
Governance
Data lineage / asset catalog
Airbyte-
Apache Spark-
Authoring
Python-first authoring
Airbyte✓
Apache Spark-
Execution
Incremental / partition-aware runs
Airbyte✓
Apache Spark-
Quality
Built-in data quality / tests
Airbyte-
Apache Spark-
Scale
Horizontal scale (distributed executor)
Airbyte-
Apache Spark✓

What each one is

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

Airbyte

Leader

A platform that connects hundreds of data sources and moves data to analytics warehouses or AI applications, with flexible deployment options including cloud, self-hosted, and hybrid models.

Independently observed

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

Pricing

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

Airbyte

Leader
from $0.00/moHybridFree tier

Free tier available. Agent pricing from $29/month to $299/month. Data Replication from $10/month to enterprise custom pricing.

  • Free (Agents)Free
    • Single user
    • API and MCP access
    • Context Store refreshes daily (hourly for first 14 days)
    • Community and AI support
    • No overage available
  • Individual (Agents)$29/month
    • Single user
    • API and MCP access
    • Context Store with hourly refresh
    • Standard and AI support
    • Overage AOs available
  • Team (Agents)$299/month
    • Everything in Individual
    • Parallel workflow execution
    • Multiple users and workspaces
    • Standard and AI support
    • Overage AOs available
  • Custom (Agents)Contact sales
    • Everything in Team
    • Custom AO limits
    • Custom Context Store refresh frequency
    • Dedicated Solutions Architect
    • Dedicated support with SLA
  • Core (Data Replication)Free
    • Self-managed
    • Open source
    • Always free
  • Standard (Data Replication)Starting at $10/month
    • Fully managed cloud hosting
    • Volume-based pricing
    • Quick deployment
  • Pro (Data Replication)Contact sales
    • Fully managed cloud hosting
    • Capacity-based pricing
    • Multiple Workspaces
    • SSO and RBAC
    • Premium Support
    • +2 more
  • Enterprise Flex (Data Replication)Contact sales
    • Sovereign data movement inside your boundary
    • On-premises and multi-region options
    • Hybrid deployment with Airbyte managed control plane
    • All Pro features
    • Premium support
as of verify ↗

Apache Spark

Open sourceFree tier
as of verify ↗

Platform & deployment

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

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

Integrations

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

Airbyte

Leader
17 total
  • Salesforce
  • Zendesk
  • Stripe
  • HubSpot
  • Gong
  • Linear
  • ActiveCampaign
  • Azure Blob Storage
  • BigQuery
  • Facebook Marketing
  • GitHub
  • GitLab
  • Google Analytics
  • Google Drive
  • Snowflake
  • Slack
  • OpenAI
Independently observed

Apache Spark

5 total
  • Hadoop
  • HDFS
  • YARN
  • Kubernetes
  • Docker
Independently observed
Still deciding?

Airbyte or Apache Spark: 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.