10 Best Fivetran Alternatives for Easy Data Sharing

Data integration doesn’t need to cost a fortune. Yet many teams find their Fivetran bills skyrocketing after March 2025’s pricing overhaul, with some seeing 50-100% cost increases. The shift to per-connector billing has created the biggest switching opportunity in ETL history.

This guide covers 10 proven alternatives that deliver the same results at a fraction of the cost—from open-source powerhouses to no-code solutions that put data access directly in business users’ hands.

What is Fivetran?

Fivetran revolutionized data integration by popularizing the ELT (Extract, Load, Transform) approach. Instead of transforming data before loading it into your warehouse, Fivetran copies raw data first, then transforms it using your warehouse’s processing power.

The platform offers over 700 pre-built connectors to popular business applications, databases, and data sources. Everything runs in the cloud with minimal setup—you authenticate your data sources, choose a destination warehouse, and Fivetran handles the rest.

Their core strength lies in reliability and consistency:

• Automatic data schema maintenance
• API change handling
• Detailed monitoring and alerting
• Enterprise-grade security and compliance
• Minimal maintenance requirements

Target audience focuses on enterprise teams and data engineers who need sophisticated integration capabilities:

• Data teams managing complex warehouse operations
• Enterprise organizations with multiple data sources
• Teams requiring reliable, hands-off data replication
• Organizations prioritizing uptime and consistency over cost

But this convenience comes at a price. Fivetran’s March 2025 pricing changes introduced per-connector Monthly Active Rows (MAR) billing, replacing their previous account-level model. A single company with 10 different data sources now pays separate MAR fees for each connector instead of aggregated pricing.

Why look for Fivetran alternatives?

The data integration landscape shifted dramatically in March 2025. Fivetran’s new pricing model has pushed many teams to reconsider their options, but cost isn’t the only driver.

Pricing unpredictability

The new per-connector MAR model creates billing complexity that’s hard to predict. Companies using multiple data sources face exponential cost growth:

• A company with ten 10-million-row connectors now pays $23,333 monthly instead of the previous $12,500
• 87% cost increase for multi-source organizations
• Unpredictable billing makes budget planning nearly impossible
• This pricing lottery affects financial planning and ROI calculations

Meanwhile, businesses with fewer, high-volume connectors might see costs drop, creating an uneven impact across different use cases.

Limited business user access

Fivetran’s technical complexity creates bottlenecks:

• Business users can’t self-serve their data needs
• Dependency on data engineers for connector setup and modifications
• Troubleshooting requires technical expertise
• Schema changes need engineering intervention

This dependency slows decision-making and frustrates teams who just want their data in familiar tools like spreadsheets.

Customization constraints

Pre-built connectors work well for standard use cases, but unique business requirements often demand custom transformations:

• Limited flexibility for custom business logic
• Complex transformation requirements need additional tools
• API limitations restrict data access patterns
• Teams need solutions that adapt to their workflows, not the other way around

Over-engineering for smaller teams

Many organizations don’t need enterprise-grade ELT complexity:

• Small to mid-size companies pay for sophisticated features they’ll never use
• Simple data needs get buried under complex enterprise features
• Teams lack the intuitive tools their business users actually need
• Technical overhead exceeds actual requirements

The right alternative depends on your team’s technical expertise, data volume, and budget constraints.

Top 10 Fivetran alternatives

1. Airbyte

Open-source data integration that puts control back in your hands.

Airbyte leads the open-source data movement with impressive momentum:

• 19,500 GitHub stars and 800+ contributors
• $2 billion valuation from their 2025 Series C funding round
• Largest ecosystem of connectors available—over 600 and growing rapidly
• Community-driven development and feature requests

The platform offers both self-hosted and cloud deployment options. Self-hosted Airbyte is completely free with unlimited usage, making it attractive for budget-conscious teams.

Deployment options:

• Self-hosted: Completely free with unlimited usage
• Cloud version: $15 per million rows
• 60-80% savings compared to Fivetran’s $500-1,067 per million MAR pricing
• Hybrid deployments for security-conscious organizations

Key capabilities:

• Customization flexibility through Connector Builder
• Custom integrations without complex coding
• ELT and reverse ETL for operational analytics
• Modern features like vector database connectors for AI applications
• Native support for LLM data sources and vector databases

Recent AI integration includes support for Pinecone and Weaviate. This forward-thinking approach positions Airbyte well for teams building data-driven AI applications.

Best for: Technical teams comfortable with open-source tools who need maximum flexibility and cost control.

Pricing: Free (self-hosted), $15/million rows (cloud)

Pros:

• Massive cost savings compared to enterprise alternatives
• Full customization control and source code access
• Largest connector ecosystem with active community development
• Strong community support and documentation

Cons:

• Requires technical expertise for setup and maintenance
• Self-hosted infrastructure management responsibilities
• Community support limitations compared to enterprise vendors

2. Matillion

AI-powered cloud ELT that automates complex data operations.

Matillion’s “Maia” AI assistant represents the cutting edge of intelligent data integration:

• Natural language prompts automatically generate complete data pipelines
• Performance monitoring and optimization suggestions
• Collaborative intelligence that scales with your team’s expertise
• This isn’t just automation—it’s intelligent pipeline management

Built specifically for cloud data warehouses, Matillion uses pushdown ELT processing:

• Transformations run directly in your warehouse
• Maximizes performance while minimizing data movement costs
• 250+ connectors with sophisticated schema management
• Git integration for version control and collaboration

Pricing structure:

• Credit-based pricing starts at $2.50 per credit for developers
• Scales down to $2.00 for basic plans
• Most teams spend $1,000-8,000 monthly depending on processing volume
• Competitive with Fivetran while offering superior transformation capabilities

Advanced features:

• Reverse ETL for operational analytics
• Advanced monitoring with anomaly detection
• Multi-agent AI coordination
• Integration with other AI copilots for unified intelligence

Matillion earned TrustRadius’s 2025 Buyer’s Choice Award and maintains 4.4/5 G2 ratings, with users praising the intuitive interface and powerful transformation engine.

Best for: Cloud-native teams needing advanced transformations with AI-powered automation.

Pricing: $2,500-15,000/month based on credits consumed

Pros:

• AI-powered pipeline creation and optimization
• Excellent cloud warehouse integration
• Advanced transformation capabilities
• Enterprise-grade security and compliance

Cons:

• Higher cost than pure replication tools
• Learning curve for advanced features
• Credit consumption can be hard to predict

3. Coefficient

The spreadsheet-native alternative that democratizes data access.

Coefficient bridges the gap between complex ETL tools and business user needs with a fundamentally different approach: live data directly in spreadsheets. Instead of moving data through pipelines, Coefficient connects your business systems to Google Sheets and Excel, creating real-time dashboards where your team already works.

Live data integration:

• 70+ business system integrations directly to spreadsheet cells
• Salesforce, HubSpot, NetSuite, and database connections
• Data refreshes automatically on schedules you control
• No more manual data exports or stale dashboard screenshots

This isn’t just another connector—it’s a complete data platform built for business users. The AI Sheets assistant analyzes your data, suggests insights, builds visualizations, and even writes SQL queries using your actual business context.

AI-powered features:

• Natural language data analysis and insights
• Automatic chart and dashboard creation
• SQL query generation based on business questions
• Cloud pivot tables that query data warehouses directly from spreadsheets
• Bi-directional sync writes data back to systems like Salesforce and HubSpot

Business impact:

• Serves 500,000+ users across 50,000 companies
• 94% cost savings compared to traditional ETL solutions
• Typical deployments cost $500-1,000 monthly instead of $8,000+ for equivalent Fivetran setups
• Perfect 5.0/5 stars across 576,000+ Google Workspace installations

Real customer results:

• Miro reduced manual reporting time by 90%
• Pixability automated client reporting with real-time data updates
• Teams eliminate technical bottlenecks and IT requests
• Business users can refresh dashboards, create charts, and analyze trends independently

Best for: Business teams who need live data in familiar spreadsheet environments without technical complexity.

Pricing: Free tier available, Pro at $99/user/month, Enterprise custom pricing

Pros:

• Zero learning curve for spreadsheet users
• 94% cost savings compared to enterprise ETL
• Real-time data sync with automated refreshes
• AI-powered analysis and insights
• Perfect user satisfaction ratings

Cons:

• Limited for complex data transformations
• Spreadsheet constraints for very large datasets
• Requires Google Sheets or Excel for full functionality

4. Stitch Data

Transparent pricing meets Singer ecosystem flexibility.

Now owned by Qlik following their Talend acquisition, Stitch Data offers straightforward data replication with predictable costs:

• Transparent row-based pricing from $100-2,500 monthly
• Eliminates billing surprises that frustrate Fivetran customers
• No hidden fees or complex connector-based calculations
• Predictable budgeting for growing data volumes

Built on the Singer open-source framework:

• 140+ connectors with flexibility to add custom taps
• No vendor lock-in and compatibility with broader Singer ecosystem
• Community-developed connectors and transformations
• Open-source foundation provides customization options

Recent enhancements:

• Integration with Qlik Talend Cloud adds enterprise data quality features
• Existing customers enjoy 12 months of pricing protection during platform integration
• Stability during the transition period
• Access to enhanced governance capabilities

Core capabilities:

• Reliable data replication with minimal configuration
• Excels at moving data quickly without complex setup requirements
• Focus on replication rather than complex transformations
• Ideal for teams who handle transformations in their warehouse or BI tools

Enterprise features:

• SOC 2 compliance and HIPAA support
• VPN tunnels and advanced connectivity options
• Customer reviews consistently praise ease of setup and transparent pricing
• 4.2/5 G2 ratings and 8.5/10 on TrustRadius

Best for: Teams needing reliable data replication with transparent, predictable pricing.

Pricing: $100-2,500/month based on row volume

Pros:

• Transparent pricing without connector complexity
• Singer ecosystem compatibility and flexibility
• Quick setup and reliable replication
• Enterprise security features

Cons:

• Limited transformation capabilities
• Uncertain roadmap under new ownership
• Fewer connectors than larger competitors

5. Hevo Data

No-code excellence with industry-leading satisfaction rates.

Hevo Data achieves what most platforms struggle with: genuine ease of use without sacrificing power:

• 4.7/5 G2 rating leads the entire data integration category
• Users consistently praise intuitive interface and reliable real-time sync
• Industry-leading customer satisfaction demonstrates platform quality
• Focus on user experience over technical complexity

Pricing and performance:

• 150+ connectors with event-based pricing starting at $499 monthly
• Predictable cost structure eliminates billing complexity
• Real-time processing delivers sub-second latency for streaming data
• Crucial for operational analytics and live dashboards

Intelligent automation features:

• Auto-schema mapping uses AI to detect field types automatically
• Aligns data structures without manual configuration
• Handles schema changes gracefully reducing maintenance overhead
• Reduces engineering time typically consumed by schema management

Customer success stories:

• Ebury achieved 50% cost reduction while improving data freshness
• ThoughtSpot reduced ELT errors by 50% with faster data availability
• Results come from genuine simplicity rather than just claiming to be user-friendly

No-code capabilities:

• Transformation engine handles common data preparation tasks
• Business users can clean data, apply business rules, and create calculated fields
• Visual interface requires no technical expertise
• Self-service data preparation without IT bottlenecks

Best for: Business analysts and growth teams who need reliable, real-time data without technical complexity.

Pricing: $499-2,000/month based on events processed

Pros:

• Highest customer satisfaction ratings in category
• True no-code setup and operation
• Real-time processing with sub-second latency
• Predictable pricing and excellent support

Cons:

• Limited advanced transformation capabilities
• Newer platform with smaller ecosystem
• Higher per-event costs at scale

6. Rivery

Template-driven rapid deployment for faster time-to-value.

Rivery differentiates itself through pre-built data pipeline templates that eliminate months of configuration work:

• Deploy proven templates for common use cases
• Marketing attribution, financial reporting, customer analytics templates
• Eliminates months of configuration work compared to building from scratch
• Proven solutions for specific industries and workflows

Unified platform capabilities:

• Combines ELT, reverse ETL, and data transformation in single environment
• Zone-based pricing provides cost predictability
• Visual interface makes complex data operations accessible to non-technical users
• Comprehensive data operations without multiple tools

Recent enhancements:

• AI-powered data modeling and automated data quality monitoring
• Template marketplace continues expanding with community-contributed solutions
• Industry-specific solutions for common business scenarios
• Accelerated deployment through proven patterns

Best for: Teams needing rapid deployment of common data integration patterns.

Pricing: Zone-based model starting around $1,000/month

Pros:

• Pre-built templates for faster deployment
• Unified ELT and reverse ETL platform
• Visual interface accessible to business users
• Predictable pricing model

Cons:

• Smaller connector ecosystem compared to major players
• Template dependency limits customization options
• Newer platform with limited track record

7. Integrate.io

Enterprise integration platform with comprehensive iPaaS capabilities.

Integrate.io positions itself as an all-in-one integration solution that handles multiple integration domains:

• Data integration, application integration, and API management in single platform
• iPaaS (Integration Platform as a Service) approach
• Appeals to enterprises managing complex integration requirements
• Comprehensive solution reduces vendor management overhead

Advanced enterprise features:

• Real-time CDC (Change Data Capture) for immediate data availability
• Data quality profiling and sophisticated transformation capabilities
• Enterprise security includes field-level encryption and SSO integration
• Comprehensive audit trails for compliance requirements

Professional services and customization:

• Custom connector development for unique requirements
• Professional services support makes complex integration projects feasible
• Scales to handle enterprise-grade data volumes
• Maintains performance and reliability at scale

Best for: Large enterprises with complex integration requirements spanning data and applications.

Pricing: Custom enterprise pricing based on requirements

Pros:

• Comprehensive iPaaS capabilities beyond pure data integration
• Enterprise security and compliance features
• Custom development support and professional services
• Scalable architecture for large deployments

Cons:

• Complex setup and learning curve
• Expensive for simple use cases
• Lengthy procurement cycles typical of enterprise sales

8. Segment (Twilio)

Customer data platform specialized for marketing and analytics teams.

Segment operates in a different category than traditional ETL tools—it’s a Customer Data Platform (CDP) designed specifically for customer behavioral data:

• Collecting, cleaning, and routing customer behavioral data
• Specialization makes it incredibly powerful for intended use cases
• Limited broader applicability outside customer data scenarios
• Focus on real-time customer insights and personalization

Core capabilities:

• Real-time event streaming with sub-second latency
• Identity resolution creates unified customer profiles across devices and touchpoints
• 450+ destinations offer largest marketing tool integration ecosystem
• Advanced customer data management and activation

AI and personalization features:

• Predictive traits and generative audience creation
• CustomerAI for personalized experiences
• Free tier supports 1,000 monthly tracked users with full access to 700+ integrations
• Accessible for growing companies with customer data needs

Pricing structure:

• Enterprise pricing typically ranges from $1,200-10,000 monthly for 100,000 users
• Significant discounts (70-85% off list price) common in negotiations
• Cost-competitive for companies focused on customer data applications
• Usage-based scaling aligns costs with business growth

Best for: B2C companies with significant customer touchpoints who need unified customer data for marketing and product analytics.

Pricing: Free tier available, $120/month + usage for paid plans

Pros:

• Largest marketing integration ecosystem available
• Real-time event processing with identity resolution
• Strong AI features for personalization
• Generous free tier for getting started

Cons:

• Limited to customer data use cases
• Not suitable for general ETL requirements
• Complex pricing for high-volume applications

9. Talend

Enterprise data fabric with comprehensive governance capabilities.

Following Qlik’s acquisition, Talend has evolved into a complete data management platform:

• Combines integration, quality, governance, and catalog capabilities
• Comprehensive approach serves large enterprises with complex data landscapes
• Strict compliance requirements and regulatory needs
• End-to-end data management rather than pure integration

Extensive capabilities:

• 900+ connectors—the most extensive ecosystem available
• End-to-end data lineage and column-level governance
• Automated data quality scoring and monitoring
• Enterprise features include GDPR compliance tools and SOX audit trails

Compliance and governance:

• HIPAA-compliant healthcare data processing
• Comprehensive governance features provide significant value for regulated industries
• Automated compliance reporting and audit trails
• Industry-specific templates and accelerators

Pricing and enterprise focus:

• Ranges from $13,500 to $80,600 annually with typical deployment around $27,500
• While expensive compared to pure replication tools, governance features justify costs
• Enterprise-scale implementations with professional services
• Complex deployments require significant time and resource investment

Customer success examples:

• Airbus achieved 20% production cycle-time reduction
• Jaguar Land Rover improved inventory accuracy by 15%
• Enterprise-scale improvements justify platform cost for large organizations

Best for: Large enterprises with complex data governance requirements in regulated industries.

Pricing: $13,500-80,000+ annually based on features and scale

Pros:

• Most comprehensive connector ecosystem available
• Enterprise-grade governance and data quality features
• Compliance support for regulated industries
• Proven at enterprise scale with major customer successes

Cons:

• Expensive for simple use cases
• Complex learning curve and lengthy implementation cycles
• Retired open-source options limit flexibility

10. Pentaho

Open-source BI suite with integrated data integration capabilities.

Now owned by Hitachi Vantara, Pentaho represents the traditional open-source approach to business intelligence:

• Integrated ETL capabilities within comprehensive BI suite
• Combines data integration, OLAP analysis, reporting, and dashboard creation
• Unified suite approach reduces tool complexity
• Traditional open-source model with community and enterprise versions

Core capabilities:

• Comprehensive analytics capabilities that go beyond simple data movement
• Kettle ETL engine (now PDI – Pentaho Data Integration) offers powerful transformation capabilities
• Visual design interface for building complex data workflows
• Integrated analytics reduce need for separate BI tools

Modernization challenges:

• Platform faces modernization challenges as cloud-native solutions dominate
• Architecture reflects earlier design patterns
• May feel outdated compared to current alternatives
• Limited cloud-native features and modern deployment options

Open-source benefits:

• Community Edition provides free access to core capabilities
• Established user community and documentation
• No vendor lock-in with open-source foundation
• Customization options through source code access

Best for: Organizations committed to open-source BI suites who need integrated analytics and ETL capabilities.

Pricing: Community Edition free, Enterprise licensing varies

Pros:

• Comprehensive BI suite with integrated data integration
• Powerful transformation engine with visual design
• Open-source community edition available
• Integrated analytics capabilities

Cons:

• Aging architecture compared to modern cloud-native solutions
• Limited cloud-native features and deployment options
• Complex setup and maintenance requirements
• Declining community support and development activity

How to choose the right alternative

Selecting the right Fivetran alternative depends on your team’s specific needs rather than generic feature comparisons. Here’s how to match solutions to your situation:

Assess your technical resources

Technical teams comfortable with infrastructure should consider:

• Airbyte for maximum flexibility and cost savings
• Open-source platform provides unlimited customization
• Requires engineering expertise for setup and maintenance
• Best return on investment for teams with technical capabilities

Business-focused teams benefit from no-code solutions:

• Hevo Data or Coefficient prioritize ease of use over technical complexity
• Enable self-service data access without IT bottlenecks
• Eliminate dependency on technical teams for routine data operations
• Faster time-to-value with minimal training requirements

Define your data complexity

Simple replication needs work well with:

• Stitch Data or Airbyte Cloud for efficient data movement
• These solutions move data efficiently without complex transformation requirements
• Focus on reliability and cost-effectiveness over advanced features
• Suitable for teams handling transformations in downstream tools

Advanced transformation requirements favor:

• Matillion’s AI-powered ELT capabilities for intelligent data processing
• Talend’s comprehensive data processing engine for complex business logic
• Handle sophisticated business rules and data quality requirements
• Support for advanced analytics and data modeling workflows

Consider your budget constraints

Cost-conscious teams should evaluate:

• Airbyte (free self-hosted) for maximum cost savings
• Coefficient (94% savings vs. Fivetran) for spreadsheet-native workflows
• Hevo (transparent event-based pricing) for predictable costs
• Significant cost reductions while maintaining reliability

Enterprise budgets can accommodate:

• Talend or Integrate.io for comprehensive governance and compliance
• Professional services support and advanced enterprise features
• Higher costs justified by sophisticated capabilities and support

Match your use case

Customer data applications require:

• Segment’s specialized CDP capabilities with identity resolution
• Marketing integrations and real-time customer insights
• Purpose-built for customer data management and activation

Spreadsheet-native analysis works best with:

• Coefficient’s real-time sync directly to Google Sheets and Excel
• Eliminates data silos entirely while preserving familiar workflows
• Business user empowerment without technical barriers

Multi-cloud integration needs:

• Matillion for cloud warehouse performance optimization
• Cost efficiency and intelligent data processing
• Optimized for modern cloud data architectures

The right choice balances functionality, cost, and implementation effort to deliver value quickly while supporting future growth requirements.

Ready to escape Fivetran’s pricing maze?

The data integration landscape has fundamentally changed. Fivetran’s March 2025 pricing overhaul created unprecedented switching opportunities, with alternatives offering 60-94% cost savings while often providing superior user experiences.

Whether you need Airbyte’s open-source flexibility, Matillion’s AI-powered automation, or Coefficient’s spreadsheet-native simplicity, proven alternatives exist for every team size and technical requirement. The key is matching your specific needs to the right solution rather than accepting one-size-fits-all pricing that penalizes growth.

Modern data teams deserve tools that scale economically while empowering users to make data-driven decisions quickly. The best time to evaluate alternatives was before your last Fivetran bill increase. The second-best time is now.

Stop paying premium prices for basic data access. Get started with Coefficient and join 500,000+ users who chose a better way to work with their data.