Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
May, 2023
July, 2018
August, 2019
August, 2017
August, 2021
August, 2025
August, 2017
August, 2022
Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
Fivetran 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.
Fivetran offers Over 700 connectors for SaaS applications, databases, ERPs, and files including major platforms like Salesforce, HubSpot, and Google Analytics
Skyvia offers 200+ connectors including cloud applications, databases, file storage systems, and cloud data warehouses, plus REST API connectivity for custom sources
| Capability | Fivetran | Skyvia |
|---|---|---|
| Data loading | Cloud-native platform with automated incremental syncs and real-time replication to warehouses | 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 | Automated data movement from 700+ connectors including SaaS apps, databases, and files with schema change detection | 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 | Basic transformations during ingestion but requires separate tools for complex business logic | 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 | Real-time database replication with change data capture and automated schema drift handling | 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 | Connector-level scheduling and monitoring with limited cross-pipeline workflow management | 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 | Provides monitoring dashboards and basic alerting for pipeline health and data quality issues. Includes error notifications and performance tracking, but monitoring capabilities are less sophisticated than specialized observability platforms with advanced anomaly detection. | Basic email notifications for pipeline failures, but lacks advanced monitoring dashboards and proactive alerting systems |
| Dev QA account | Provides development and testing environments for pipeline validation before production deployment. Includes basic version control and testing capabilities, though development workflow features are more limited than platforms designed specifically for DataOps teams. | No dedicated development or QA environments - testing and staging must be done in production or through workarounds |
| AI workflows | Supports AI and ML workflows through automated data pipelines that feed clean data to AI tools and models. Handles data preparation and delivery for AI initiatives, but lacks native AI-powered features like intelligent schema mapping or automated anomaly detection. | No native AI workflow capabilities or machine learning pipeline support - focuses on traditional data integration without AI-powered automation |
| API | Offers REST API for programmatic access and custom integrations, but API capabilities are more limited compared to platforms built API-first. Documentation and developer resources are available but not as comprehensive as dedicated API-centric solutions. | Basic REST API connector for custom integrations, but lacks comprehensive API management features and advanced authentication options |
| Source control | Includes basic version control for pipeline configurations and transformations. Supports change tracking and rollback capabilities, but source control integration is not as robust as platforms built with Git-native workflows and advanced branching strategies. | Limited version control capabilities with basic change tracking, but no Git integration or collaborative development features |
Fivetran
Usage-based pricing with consumption tiers that can become expensive at scale, especially for high-volume data movement scenarios
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
| Fivetran | Skyvia | |
|---|---|---|
Time to implement | Fivetran typically requires 2-4 weeks for initial implementation of standard connectors, but timeline extends significantly for custom requirements or complex data transformations. Their automated approach works quickly for supported sources, but any deviation from standard patterns can add weeks to deployment. Organizations often experience delays when integrating with legacy systems or when custom business logic is required. | 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 | Fivetran's onboarding follows a standardized, connector-first approach where you select from their 700+ pre-built connectors and configure them through their web interface. While this works well for standard use cases, custom transformations and complex data mapping require additional setup time. The process can become lengthy when dealing with legacy systems or non-standard data formats that don't fit their connector templates. | Basic setup wizard and documentation-driven approach that requires users to configure integrations independently without guided implementation or dedicated onboarding specialists |
Support | Fivetran provides enterprise-grade support with dedicated customer success managers for larger accounts, comprehensive documentation, and community forums. However, their support model is tiered based on plan level, with basic plans receiving limited direct access to technical specialists. Response times can vary significantly depending on your subscription tier, and complex troubleshooting often requires escalation through multiple support levels. | 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 |
Fivetran
Fivetran maintains strong security certifications including SOC 1/2, GDPR, HIPAA BAA, ISO 27001, PCI DSS Level 1, and HITRUST. They offer hybrid deployment options for organizations with strict data residency requirements. However, their security model is primarily built around their cloud infrastructure, which may not align with organizations requiring on-premises or highly customized security configurations.
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 Fivetran and Skyvia with one unified data delivery platform.