Keboola vs Google Cloud Dataflow

Keboola9.8Visit Google Cloud Dataflow6.3Visit

Higher score Keboola #1 in ETL Software 9.8/10 Free plan Free plan✓ 3 of 3 features Visit Keboola

vs

Google Cloud Dataflow #10 in ETL Software 6.3/10 Paid ✓ 3 of 3 features Visit Google Cloud

• Keboola fits best

  Teams wanting managed ETL with a free tier

• Google Cloud Dataflow fits best

  Managed Apache Beam batch and streaming

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Side by side

Feature	Keboola 9.8/10 Visit ↗	Google Cloud Dataflow 6.3/10 Visit ↗
At a glance
Editor score	9.8	6.3
Ranking	#1 in ETL Software	#10 in ETL Software
Best for	Teams wanting managed ETL with a free tier	Managed Apache Beam batch and streaming
Pricing model	Free plan + paid	Paid
Starting price	Not published	Not published
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Live chat, Docs	Docs, Community, Live chat, Phone, Tickets
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML, 2FA	SOC 2, ISO 27001
Integrations	1,500+ integrations	14 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Keboola 3/3 · Google Cloud Dataflow 3/3
Incremental loading	✓	✓
Change data capture	✓	✓
Custom code transforms	✓	✓
Specs
Deployment	Hybrid	Cloud
Source connectors	Not published	Not published
Destination connectors	Not published	Not published
Transformation mode	Mixed	Mixed
Our review
Pros	Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources Supports SQL, Python, R, dbt, CDC, lineage, cataloging, and monitoring Hybrid, private VPC, API, CLI, and AI-assisted pipeline operations	Runs batch and streaming pipelines with managed worker infrastructure Supports CDC templates, autoscaling, and dynamic resource adjustment Connects with BigQuery, Kafka, MongoDB, Spanner, and more
Cons	Free plan is limited to one Keboola project Extra compute after the free allocation costs $0.14 per minute Enterprise pricing requires contacting sales	Cloud-only deployment limits infrastructure choices Uses paid usage-based pricing without a free plan Requires pipeline development in Java, Python, or Go
Our verdict	Keboola is a cloud data integration and operations platform for data teams, analysts, and enterprises. It combines managed connectors for SaaS applications, databases, event streams, and REST APIs with visual orchestration,… Read the review →	Google Cloud Dataflow is a managed service for running Apache Beam pipelines that process batch and streaming data. It is designed for engineering and data teams building scalable data processing and integration workflows, with Google… Read the review →

Strengths and trade-offs

• Keboola — where it wins

  • Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources
  • Supports SQL, Python, R, dbt, CDC, lineage, cataloging, and monitoring
  • Hybrid, private VPC, API, CLI, and AI-assisted pipeline operations

  Where it doesn't

  • Free plan is limited to one Keboola project
  • Extra compute after the free allocation costs $0.14 per minute
  • Enterprise pricing requires contacting sales

• Google Cloud Dataflow — where it wins

  • Runs batch and streaming pipelines with managed worker infrastructure
  • Supports CDC templates, autoscaling, and dynamic resource adjustment
  • Connects with BigQuery, Kafka, MongoDB, Spanner, and more

  Where it doesn't

  • Cloud-only deployment limits infrastructure choices
  • Uses paid usage-based pricing without a free plan
  • Requires pipeline development in Java, Python, or Go

• Keboola9.8/10 · Free plan

  Managed ETL with a free tier, broad connectors, visual orchestration, and hybrid deployment.

  Visit KeboolaFull verdict →
• Google Cloud Dataflow6.3/10 · Paid

  A managed Apache Beam service for engineering teams running batch and streaming pipelines.

  Visit Google CloudFull verdict →