AWS Glue vs Fivetran
AWS Glue and Fivetran serve fundamentally different data pipeline philosophies. AWS Glue delivers a full-featured serverless ETL platform with deep transformation capabilities, ideal for teams that need custom Spark-based processing within the AWS ecosystem. Fivetran provides a managed ELT platform with 700+ connectors and near-zero maintenance, built for teams that want automated data ingestion without writing pipeline code. The right choice depends on whether your priority is transformation power or connector breadth and operational simplicity.
AWS Glue4.1Fivetran4.2
Data Pipelines
Quick Comparison
| Feature | AWS Glue | Fivetran |
|---|---|---|
| Pricing Model | Free up to 3 million bytes processed per month; $0.40 per GB scanned after free tier | Free tier (1 user), Standard $45/mo, Premium custom |
| Ease of Setup | — | — |
| Connector Ecosystem | — | — |
| Data Transformation | — | — |
| User Rating | — | — |
| Scalability | — | — |
AWS Glue
- Pricing Model:
- Free up to 3 million bytes processed per month; $0.40 per GB scanned after free tier
- Ease of Setup:
- —
- Connector Ecosystem:
- —
- Data Transformation:
- —
- User Rating:
- —
- Scalability:
- —
Fivetran
- Pricing Model:
- Free tier (1 user), Standard $45/mo, Premium custom
- Ease of Setup:
- —
- Connector Ecosystem:
- —
- Data Transformation:
- —
- User Rating:
- —
- Scalability:
- —
Community & Adoption Signals
| Metric | AWS Glue | Fivetran |
|---|---|---|
| GitHub stars | 4 | — |
| TrustRadius rating | 8.6/10 (42 reviews) | 8.4/10 (54 reviews) |
| PyPI weekly downloads | — | 14.7k |
| Search interest | 2 | 2 |
| Product Hunt votes | — | 85 |
As of 2026-05-18 — updated weekly.
Interface Preview
AWS Glue
Feature Comparison
| Feature | AWS Glue | Fivetran |
|---|---|---|
| Data Ingestion | ||
| Source Connectivity | — | — |
| Change Data Capture | — | — |
| Schema Management | — | — |
| Data Transformation | ||
| Transformation Engine | — | — |
| Code Development | — | — |
| Data Quality | — | — |
| Operations & Monitoring | ||
| Pipeline Orchestration | — | — |
| Monitoring & Alerts | — | — |
| Deployment Options | — | — |
| Security & Compliance | ||
| Encryption & Access | — | — |
| Compliance Certifications | — | — |
| Data Governance | — | — |
| Ecosystem & Integration | ||
| Cloud Platform Support | — | — |
| Analytics Tool Integration | — | — |
| Reverse ETL & Activation | — | — |
Data Ingestion
Source Connectivity
AWS Glue—
Fivetran—
Change Data Capture
AWS Glue—
Fivetran—
Schema Management
AWS Glue—
Fivetran—
Data Transformation
Transformation Engine
AWS Glue—
Fivetran—
Code Development
AWS Glue—
Fivetran—
Data Quality
AWS Glue—
Fivetran—
Operations & Monitoring
Pipeline Orchestration
AWS Glue—
Fivetran—
Monitoring & Alerts
AWS Glue—
Fivetran—
Deployment Options
AWS Glue—
Fivetran—
Security & Compliance
Encryption & Access
AWS Glue—
Fivetran—
Compliance Certifications
AWS Glue—
Fivetran—
Data Governance
AWS Glue—
Fivetran—
Ecosystem & Integration
Cloud Platform Support
AWS Glue—
Fivetran—
Analytics Tool Integration
AWS Glue—
Fivetran—
Reverse ETL & Activation
AWS Glue—
Fivetran—
Our Verdict
AWS Glue and Fivetran serve fundamentally different data pipeline philosophies. AWS Glue delivers a full-featured serverless ETL platform with deep transformation capabilities, ideal for teams that need custom Spark-based processing within the AWS ecosystem. Fivetran provides a managed ELT platform with 700+ connectors and near-zero maintenance, built for teams that want automated data ingestion without writing pipeline code. The right choice depends on whether your priority is transformation power or connector breadth and operational simplicity.
When to Choose Each
Choose AWS Glue if:
Choose AWS Glue if your organization is already invested in the AWS ecosystem and needs powerful, customizable data transformation capabilities. AWS Glue excels when your team includes data engineers comfortable with Apache Spark and Python who need to build complex ETL pipelines with custom business logic, ML-powered data cleansing via FindMatches, and sophisticated orchestration through workflows and Airflow. At $0.44 per DPU-hour with auto-scaling, it offers strong cost efficiency for heavy batch processing workloads that require transformation before loading.
Choose Fivetran if:
Choose Fivetran if your primary need is fast, reliable data ingestion from diverse SaaS applications, databases, and event streams with minimal engineering overhead. Fivetran is the stronger option for teams that want pipelines running in minutes instead of days, with 700+ pre-built connectors handling schema evolution, CDC replication, and incremental syncs automatically. Its cloud-agnostic architecture, built-in rELT activation to 200+ destinations, and Hybrid Deployment option make it ideal for multi-cloud organizations that prefer the ELT approach of transforming data after it lands in the warehouse.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Frequently Asked Questions
What is the main difference between AWS Glue and Fivetran?
AWS Glue is a serverless ETL platform that provides full data transformation capabilities using Apache Spark, a centralized Data Catalog, and visual pipeline tools within the AWS ecosystem. It requires data engineering expertise to configure crawlers, write transformation logic, and manage pipeline orchestration. Fivetran is a managed ELT platform focused on automated data ingestion through 700+ pre-built connectors that handle schema evolution, incremental syncs, and CDC replication without custom code. The core distinction is that Glue gives you transformation control before loading, while Fivetran prioritizes getting raw data into your warehouse fast and delegates transformation to downstream tools like dbt.
Which is more cost-effective, AWS Glue or Fivetran?
AWS Glue charges $0.44 per DPU-hour billed by the second with a free tier for the Data Catalog and offers Flex execution at up to 35% savings for non-urgent jobs. Fivetran uses Monthly Active Rows (MAR) pricing with a free tier at 500,000 MAR and tiered plans for Standard, Enterprise, and Business Critical needs. For organizations with heavy transformation workloads already on AWS, Glue typically costs less because you pay only for compute time consumed. For teams needing dozens of SaaS connectors, Fivetran often proves more cost-effective because building and maintaining equivalent custom connectors in Glue would require significant engineering hours that far exceed Fivetran's subscription cost.
Can AWS Glue and Fivetran be used together?
Yes, combining AWS Glue and Fivetran is a common and effective architecture pattern. Fivetran handles the ingestion layer by pulling data from 700+ SaaS sources, databases, and event streams into your data warehouse or S3 data lake with automated CDC and schema management. AWS Glue then takes over for complex transformation workloads, running Spark-based ETL jobs to clean, deduplicate, enrich, and reshape the ingested data for analytics consumption. This combination gives teams the best of both worlds: Fivetran's connector breadth and operational simplicity for extraction, paired with Glue's powerful transformation engine and Data Catalog for processing and metadata management.
Which tool is better for teams without deep data engineering experience?
Fivetran is significantly more accessible for teams without deep data engineering expertise. Its point-and-click interface lets analysts set up data pipelines in under two minutes, with fully managed connectors that handle schema changes, incremental updates, and error recovery automatically. AWS Glue requires knowledge of Apache Spark, Python or Scala, IAM permissions, and AWS networking concepts. While Glue Studio and DataBrew provide visual interfaces that reduce some complexity, production pipeline development still demands engineering skills. Fivetran's built-in dbt integration and Quickstart data models also lower the barrier for transformation work, making it the clear choice for lean data teams that need to move fast without hiring specialized pipeline engineers.