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Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
AWS Glue and Skyvia are both popular choices in the ETL space. Below is a detailed, side-by-side comparison of their capabilities, pricing, support, and security to help you decide which fits your data stack.
AWS Glue offers 100+ data sources including Amazon S3, DynamoDB, RDS, Redshift, and third-party systems
Skyvia offers 200+ connectors including cloud applications, databases, file storage systems, and cloud data warehouses, plus REST API connectivity for custom sources
| Capability | AWS Glue | Skyvia |
|---|---|---|
| Data loading | Optimized for AWS targets like S3 and Redshift but limited flexibility for multi-cloud or hybrid environments | Supports standard ETL/ELT patterns for moving data into warehouses and cloud platforms. Missing advanced incremental loading with automatic change tracking that prevents unnecessary full refreshes and reduces processing overhead. |
| Data ingestion | Connects to 100+ data sources but requires AWS ecosystem lock-in and complex configuration for non-AWS sources | Offers 200+ connectors for cloud apps, databases, and file systems, plus REST API connectivity and on-premise access via secure Agent. However, lacks the real-time granularity and intelligent incremental loading that modern data teams need for operational workflows. |
| Data transformation | Code-heavy approach requires Spark expertise and lacks visual, no-code transformation capabilities | Features no-code transformation tools within a cloud-based interface. Lacks the sophisticated visual components for complex API lookups, conditional logic, and data type conversions that empower business analysts to work independently. |
| Data replication | Serverless scaling handles large volumes but lacks real-time sync capabilities and granular scheduling options | Provides basic data synchronization and backup capabilities across connected systems. Limited scheduling flexibility compared to platforms that offer 5-minute intervals for real-time business intelligence and inventory management use cases. |
| Orchestration | Pay-per-use billing can become unpredictable at scale with limited workflow automation for business users | Includes workflow automation and pipeline management as part of the comprehensive platform. However, doesn't provide the enterprise-grade observability, automated error detection, and intelligent retry mechanisms needed to prevent business disruptions. |
| Alerts and monitoring | CloudWatch integration provides basic monitoring but lacks granular pipeline observability and proactive failure detection | Basic email notifications for pipeline failures, but lacks advanced monitoring dashboards and proactive alerting systems |
| Dev QA account | Development endpoints available but billed hourly with no clear separation between dev, staging, and production environments | No dedicated development or QA environments - testing and staging must be done in production or through workarounds |
| AI workflows | Basic generative AI assistance for ETL authoring and Spark job modernization, but AI capabilities are narrow and AWS-centric | No native AI workflow capabilities or machine learning pipeline support - focuses on traditional data integration without AI-powered automation |
| API | Limited programmatic access through AWS SDK and CLI, but lacks dedicated API for pipeline management or custom integrations outside AWS ecosystem | Basic REST API connector for custom integrations, but lacks comprehensive API management features and advanced authentication options |
| Source control | No native version control or Git integration - relies on external AWS CodeCommit or third-party solutions for pipeline versioning | Limited version control capabilities with basic change tracking, but no Git integration or collaborative development features |
AWS Glue
Pay-as-you-go billing by the second or minute with charges for ETL jobs, crawlers, Data Catalog storage and requests, DataBrew sessions, and Data Quality tasks. Development endpoints billed hourly. Costs vary by AWS Region with potential for unpredictable scaling expenses.
Skyvia
Flexible pricing based on data volume with free basic plan, monthly/yearly billing in advance (non-refundable), and tiered plans like BASIC and STANDARD - requires visiting website for detailed pricing calculator
| AWS Glue | Skyvia | |
|---|---|---|
Time to implement | Weeks to months for production-ready pipelines. Requires AWS infrastructure knowledge, Spark/Python coding skills, and time to configure security policies. Simple jobs may start quickly, but enterprise deployments need significant setup and testing. | Quick setup for simple integrations but can extend significantly for complex data transformations due to limited pre-built templates and reliance on user configuration |
Onboarding | Requires AWS expertise and infrastructure setup. Teams need to configure IAM roles, set up development endpoints, and understand Glue's serverless architecture before building first pipeline. Getting started involves learning AWS-specific concepts like crawlers, classifiers, and the Data Catalog structure. | Basic setup wizard and documentation-driven approach that requires users to configure integrations independently without guided implementation or dedicated onboarding specialists |
Support | Relies on AWS support tiers and community forums. No dedicated data integration specialists. Support quality depends on your AWS support plan level, with basic plans offering limited technical guidance for complex ETL scenarios. | Self-service platform with community forums and documentation, but limited dedicated support options compared to enterprise-grade assistance with dedicated customer success managers and technical specialists |
AWS Glue
Inherits AWS security model with comprehensive certifications. Offers VPC isolation, encryption at rest and in transit, and IAM integration. However, security configuration complexity requires dedicated AWS security expertise to implement properly.
Skyvia
Cloud-hosted on Microsoft Azure with TLS encryption and basic access controls, but lacks comprehensive enterprise compliance certifications and advanced security features
Integrate.io combines ETL, Reverse ETL, and iPaaS in a single platform with fixed pricing at $1,999/month. No usage-based surprises, no tool sprawl.
Integrate.io replaces AWS Glue and Skyvia with one unified data delivery platform.