Top 11 Fivetran Alternatives & Competitors in 2025 (Free & Paid)

If you’re searching for the best Fivetran alternatives and competitors in 2025, this guide breaks down the top 11 platforms curated through real user reviews, industry expert insights, and hands-on product testing.

While Fivetran is easy to set up and works well for initial use cases, as data volumes grow, teams often find costs increasing faster than expected and support that falls short of growing expectations.

We evaluated each platform based on factors like reliability, transparent pricing, connector flexibility, and support responsiveness. 

This guide explains who each tool is best for and how it compares to Fivetran, so you can easily choose the right option for your data stack.

What is Fivetran?

Fivetran is widely known for its managed ELT approach and library of prebuilt connectors, making it easy to get data flowing quickly. It’s a good choice for teams that want a hands-off setup.

However, many teams soon hit roadblocks with unpredictable pricing, inconsistent support responses, and limited customization. Alternatives now offer more flexibility, transparent pricing, and control over how data flows.

Key Features of Fivetran:

• Connector Library: Offers a wide range of prebuilt connectors, though users have limited flexibility over what data is extracted or excluded.
• Data Syncs: Runs automated batch-based ELT jobs; real-time syncs are restricted to higher enterprise plans.
• Schema handling: Detects and updates source schema changes automatically. 
• Compliance: Includes SOC 2 Type II and HIPAA compliance for data protection.
• Transformation: Fivetran uses a dbt Core integration to run transformations after data is loaded into your warehouse.

When to Consider a Fivetran Alternative

While Fivetran serves many teams well, certain scalability, flexibility, cost, or other Fivetran challenges can signal it’s time to explore other options.

1. Unpredictable Costs

Fivetran’s Monthly Active Rows (MAR) model charges for every record that changes, but the usage is often opaque, making costs hard to predict. When schemas evolve or data volumes surge, costs can spike without warning.

Many teams switch to platforms like Hevo that use predictable pricing for clear cost visibility as workloads grow.

2. Limited Support Responsiveness

Fivetran users often wait days for support to respond during incidents, leading to prolonged data outages, missed SLAs, and loss of trust in the platform. 

3. Rigid Schema Handling

Fivetran’s predefined connectors follow fixed schemas, offering limited flexibility to select specific tables or fields. 

This limits how precisely teams can choose what data gets replicated, often causing unnecessary transfers that increase storage and processing costs.

4. High Total Cost of Ownership

Fivetran’s unpredictable pricing makes it difficult for teams to plan budgets, especially as data volumes grow. And when schema drifts or large re-syncs occur, engineers often need to step in, adding extra time, increasing the Total Cost of Ownership.

5. No Multi-Region Flexibility

Fivetran doesn’t offer a workspace model for managing multiple regions; you need separate accounts or destinations for each setup. Hevo, on the other hand, lets teams manage multiple region-specific workspaces under a single account, making organization and oversight much simpler.

11 Fivetran Alternatives For Better Data Integration Needs

Below are 11 Fivetran alternatives that data teams often consider. Each platform offers unique strengths, from no-code automation to open-source flexibility and end-to-end orchestration.Before diving into detailed overviews, here’s a quick comparison of the top ETL platforms, covering their best use cases, key differentiators, and limitations to help you identify the right fit for your data strategy.

Software	Best Use Cases	Key Differentiator	Limitations
Hevo	No-code, reliable data pipelines with complete visibility	Hevo provides transparent pricing, robust fault-tolerant pipelines, detailed logs, and 24/7 expert support	Cloud-based only
Talend	Teams needing compliance-focused workloads	Provides on-premise and hybrid data integration	Complex setup requiring engineering efforts and unpredictable operational costs
AWS Glue	Organizations operating primarily inside the AWS ecosystem	Serverless ETL engine tightly integrated with AWS services	Limited cross-cloud compatibility and steep learning curve
Matillion	Teams that want to run transformations directly inside their data warehouse	Visual pipeline builder and push-down ELT	Credit-based pricing gets expensive, and transformations require coding, making it engineering-heavy
Rivery	Companies needing Reverse ETL and multi-step orchestration	Strong workflow automation and activation features	Higher pricing and complexity for teams needing simple ELT use cases
Stitch	Small teams needing simple, budget-friendly replication	Straightforward ELT with minimal setup overhead	Poor support responsiveness, limited connector coverage, and no advanced monitoring
Integrate.io	Teams wanting low-code ETL and Reverse ETL support	Drag-and-drop interface for building pipelines	Steep learning curve, and the drag-and-drop interface becomes difficult for complex pipelines
Airbyte	Engineering-led teams needing open-source + custom connectors	Python-based CDK to build or extend connectors, with flexibility to self-host or use Airbyte Cloud	Community connectors become unreliable, and performance drops as data volume grows
IBM DataStage	Enterprises maintaining legacy or large-scale data infrastructure	Parallel processing engine designed for high performance	High infrastructure cost and limited flexibility
Meltano	Teams favouring code-first DataOps workflows	Git-native development model leveraging the Singer ecosystem for version-controlled pipelines	Requires heavy customization and manual connector upkeep
Skyvia	Organisations looking for simple, no-code data sync and backup	Guided integrations with built-in backup and restore options	Not built for high-volume data and lacks advanced transformation options

1. Hevo Data – Built for teams that value simplicity, reliability, and predictable pricing

⭐ 4.4 on G2 | 4.7 on Capterra – Highly rated for ease of use, setup speed, and support

Hevo is a fully managed, no-code ELT platform that makes data movement simple, reliable, and scalable. With fault-tolerant pipelines, transparent pricing, and complete end-to-end visibility, Hevo ensures your data flows seamlessly and stays trustworthy at every stage.

Key Features

Easy to Use

Hevo is simple to start and effortless to maintain, with guided setup, an intuitive interface, and automatic scaling that keeps pipelines running without engineering or operations overhead.

Scalable

Hevo automatically scales to handle growing data volumes and high-throughput workloads without downtime or manual tuning. Its performance-first design ensures consistent speed, even as pipeline complexity increases.

Reliable

Hevo automatically detects and recovers from transient failures. Whether it’s a schema change, API timeout, or warehouse overload, Hevo triggers intelligent retries and adjustments with zero manual intervention, keeping pipelines stable and reliable.

Predictable Pricing

Hevo’s predictable pricing model provides complete cost transparency, allowing teams to forecast spend accurately as data grows. There are no hidden fees, usage credits, or surprise charges, only clear and consistent billing.

360° Visibility

Track every pipeline in real time through unified dashboards and detailed logs. Batch-level checks help detect anomalies early, keeping your data accurate, consistent, and fully trustworthy across all systems.

Why Choose Hevo Over Fivetran

• Hevo provides teams with full cost clarity through predictable, usage-based pricing, unlike Fivetran’s opaque MAR model.
• Hevo provides 24/7 support from experts for every customer. Whether it’s onboarding, troubleshooting, or optimization, teams always get live, hands-on help. Fivetran’s support often depends on slow ticket-based responses, leaving teams waiting when issues matter most.
• Pipelines stay reliable with auto-healing, batch-level checks, and intelligent retries that prevent the intermittent sync failures common with Fivetran.

Customer Review

We did a proper evaluation between Hevo and its competitors. We realized that Hevo provided the best value out of all of them; it had all the features that we wanted at a price that we were comfortable with. It was the best option for us.

Prudhvi Vasa

Head of Data

View Customer Story

Pricing

• Free Plan: Supports up to 1M events per month for 5 users per team.
• Starter Plan: Starting at 239$ per month with SSH/SSL encryption connection.
• Professional Plan: This pack starts at $679 monthly and includes functionalities like reverse SSH, and unlimited users.
• Business Critical: If you want to transfer more than 100M monthly events, you can contact our sales team for a custom quote.

For a detailed breakdown of how the two platforms compare, explore our Hevo vs Fivetran Comparison

2. Talend – Best for Hybrid Data Integration

Talend is a data integration platform designed for complex, hybrid environments. Acquired by Qlik in 2023, it continues to focus on building a unified ecosystem that combines data integration, data quality, and governance.

Talend delivers strong governance and data management features, but using them effectively often requires more configuration, more resources, and more technical skills.

Pros

• Flexible deployment across on-premise, hybrid, and cloud environments.
• Wide library of connectors for enterprise systems and legacy sources.
• Good alignment with compliance standards (GDPR, HIPAA, SOC 2).

Cons

• Complex setup and higher infrastructure management burden.
• Requires technical expertise for configuration and ongoing maintenance.
• Performance can slow down with large data volumes, consuming more resources and time.
• Licensing and professional services costs can grow quickly.

Advantages of Talend Over Fivetran

• Hybrid Deployment Flexibility: Talend supports both on-premise and cloud pipelines, which Fivetran lacks. However, maintaining a hybrid infrastructure adds operational complexity. 
• Data Quality: Talend’s data validation checks help maintain data quality but require additional configuration and can slow performance. Whereas, Hevo’s automated, self-healing pipelines handle schema changes and errors seamlessly without extra efforts.

Pricing

• Starter and Standard editions are billed based on data volume.
• Premium and Enterprise editions are billed based on data volume, job executions, and hours.

For a full breakdown of the two platforms, explore our Fivetran vs Talend Comparison.

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3. AWS Glue – Best for AWS ecosystem

AWS Glue is a fully managed ETL software in the AWS ecosystem that works closely with services like S3, Redshift, and Athena, making it suitable for organizations that rely on AWS for their data workloads. 

While Glue automates many aspects of data processing, setting up workflows and designing pipelines typically requires familiarity with AWS tools and concepts.

Pros

• Effortless integration within the AWS ecosystem.
• Serverless architecture with auto-scaling infrastructure.
• Supports both batch and event-driven workflows.

Cons

• Complex setup and steep learning curve for non-engineers.
• Requires familiarity with Spark, Python, and AWS IAM configuration.
• Limited out-of-the-box connectors for non-AWS SaaS tools.
• Debugging and performance tuning can be time-consuming.

Advantages of AWS Glue Over Fivetran

• Native AWS Integration: Glue integrates smoothly with AWS storage and compute services, giving AWS-focused teams greater control. However, its strong reliance on AWS limits flexibility across multiple clouds. In contrast, Hevo works with all major warehouses and SaaS tools, allowing seamless data movement, whether AWS or otherwise.
• Serverless Flexibility: Glue scales infrastructure automatically based on workloads, but you still need Spark expertise to tune jobs and ensure reliability. Hevo delivers the same scalability with no code or infrastructure management, fully managed and ready to deploy in minutes.

Pricing

• Pay-as-You-Go: Based on Data Processing Units (DPUs) used per job.
• Feature-Based Charges: Additional services like DataBrew, Data Quality tasks, development endpoints, and catalog storage incur extra costs, so overall pricing increases as more functionalities are used.

For a detailed feature-by-feature comparison between the two, explore our Fivetran vs AWS Glue ETL Comparison.

4. Matillion – Best for In-Warehouse Data Transformations

Matillion is a cloud-based ELT tool used primarily for building and managing transformations directly inside modern data warehouses. It offers a visual job designer that helps teams structure SQL-driven workflows. 

Pros

• Provides an interface for building complex ELT workflows.
• Native pushdown transformations that execute directly in your warehouse.
• Supports destinations like Snowflake, Redshift, BigQuery, and Databricks.

Cons

• Requires setup and management within the user’s data warehouse environment.
• Compute costs that scale with warehouse usage during transformation jobs.
• Limited GitHub integration and API access can hinder usability, whereas Hevo offers seamless integrations for smoother, more flexible workflows.

Advantages of Matillion Over Fivetran

• In-Warehouse Transformations: Matillion specializes in post-load transformations with native pushdown execution, leveraging your warehouse for processing. However, this also means higher compute usage and cost. 
• Visual Workflow: Matillion’s drag-and-drop UI makes it easier to design transformation pipelines compared to Fivetran’s dbt-based setup. 

For a deeper look at how the two solutions differ in design, flexibility, and performance, explore our Fivetran vs Matillion Key Differences.

Pricing

Matillion uses a credit-based pricing model tied to compute usage and plan tier. All the plans follow a pay-as-you-go model where you are billed on actual usage. The basic plan costs $2 per credit.

• Editions & Plans: Developer, Teams, and Scale editions
• Credit-Based Model: Usage billed in credits; 1 credit = 1 vCore-hour (ETL).

5. Rivery – Best for reverse ETL

Rivery is a cloud-based data integration and orchestration platform designed to help teams manage ELT pipelines, workflows, and data activation in one environment.

However, Rivery’s broad DataOps capabilities can add cost and complexity for teams that simply need reliable, no-code data movement into their warehouse.

Pros

• Combines ELT, orchestration, and reverse ETL in a single platform.
• Provides prebuilt connectors for data warehouses and SaaS applications.
• Flexible transformation options with SQL, Python, and REST APIs.

Cons

• Pricing based on compute and API calls can grow unpredictable as workloads expand.
• Learning curve for non-technical users due to nested workflow structures (“Rivers”)
• Gaps in documentation and unclear error messages make troubleshooting harder.
• Occasional bugs and ETL implementation issues that impact overall usability.

Advantages of Rivery Over Fivetran

• Workflow Management: Unlike Fivetran, Rivery includes orchestration and reverse ETL to automate the entire pipeline. However, this added functionality can overcomplicate workflows for teams that only need data ingestion. Hevo keeps it simple with a reliable, fully managed ELT platform that requires no extra orchestration layers.
• Flexible Transformations: Rivery supports transformations through SQL, Python, and REST APIs, offering flexibility in pipeline design. However, it requires engineering effort to set up.

Pricing

• Base Plan: Starts at $0.75 per BDU credit with pay-as-you-go flexibility.
• Professional Plan: Provides functionalities for smaller data teams.
• Enterprise Plan: Custom pricing with advanced governance, SLAs, and dedicated support.

For an in-depth look at how the two compare across automation and orchestration capabilities, check out our Fivetran vs Rivery Comparison.

6. Integrate.io – Best for Flexible ETL and Reverse ETL

Integrate.io is a cloud-based data integration platform that supports ETL, ELT, Reverse ETL, and API integrations through a single interface. The platform is commonly used for sending processed data back into operational tools like CRMs and marketing platforms. 

Pros

• Visual pipeline builder with SQL and drag-and-drop options.
• Prebuilt connectors for various tools.
• Supports API integrations and custom dataflows with SQL or scripts.

Cons

• Limited documentation makes it harder for users to fully leverage the platform without additional guidance.
• Performance tuning and job scheduling can require manual setup.
• Pricing can become opaque with usage-based tiers and add-ons.

Advantages of Integrate.io Over Fivetran

• Reverse ETL Capabilities: Integrate.io supports sending data back into CRMs and SaaS tools, unlike Fivetran’s one-way ELT focus. However, its bidirectional syncs can require manual job tuning. 
• Flexible Transformations: Integrate.io’s visual builder allows SQL-based and prebuilt transformations. Yet, maintaining these pipelines can be effort-intensive. 

Pricing

• Enterprise plans are custom-quoted based on security, compliance, and workload requirements.
• Plans typically start at around $1,999/month.

7. Airbyte – Best for open-source, flexible data pipelines

Airbyte is an open-source ELT platform that allows users to build, deploy, and manage pipelines with a code-first approach. This approach demands significant engineering bandwidth and ongoing maintenance.

In contrast, managed platforms like Hevo provide a simpler, more reliable experience with vendor-backed support, making it ideal for teams seeking a hands-off solution.

Pros

• Open-source and self-hosted.
• Python-based CDK to create or modify connectors.
• Supports both batch and log-based CDC for databases.

Cons

• Insufficient support leaves users waiting for community responses to fix pipeline issues.
• Requires high maintenance load, including hosting, patching, and version upgrades.
• With many community-created connectors, quality and stability can be inconsistent across sources.

For a detailed breakdown of how the two platforms compare, explore our Fivetran vs Airbyte: Comprehensive Comparison

Advantages of Airbyte Over Fivetran

• Open-Source Flexibility: Airbyte allows teams to customize connectors, giving developers more control than Fivetran’s closed system. However, maintaining these connectors requires engineering effort and ongoing monitoring.
• Lower Entry Cost: Airbyte’s open-source model is inexpensive to begin with. But infrastructure and upkeep costs rise quickly as usage grows. Hevo offers predictable pricing with no hidden fees, allowing teams to scale without unexpected costs.

Pricing

• Open-Source Edition: Free to use and self-host with community support.
• Cloud Starter Plan: Begins at $10 per month, which includes 4 credits.
• Usage-Based Credits: Additional usage billed based on data volume and sync frequency.
• Enterprise Edition:  Pro and Enterprise plans offer pricing tied to a set capacity of data processing resources.

Hevo offers predictable pricing starting at $239/month, eliminating the uncertainty and complexity of usage-based credit models.

8. Stitch – Best for basic data replication

Stitch is a lightweight ELT tool designed for teams that need quick, minimal data replication. Stitch is suitable for companies looking for a lightweight, managed solution to replicate data, though its functionality is primarily centred around extraction and loading rather than full end-to-end pipeline management.

Pros

• Quick setup with a minimal learning curve
• Simple UI suitable for non-engineering users
• Works well for small datasets and low-frequency replication

Cons

• Connector coverage is basic compared to modern ELT platforms
• Support is limited and slow, leaving issues unresolved for extended periods
• Data syncs can lag, making it less suitable for operations that require up-to-date data

Advantages of Stitch Over Fivetran

• Simple Setup: Stitch offers a faster, simpler setup experience compared to Fivetran. However, this simplicity also means fewer controls, slower syncs, and weaker reliability, areas where Hevo delivers stronger performance with reliable, auto-healing pipelines.
• Affordable to start: Stitch can be a cost-effective option for small teams or simple pipelines, but for organizations that require reliable pipelines, effortless scaling, and predictable pricing, Hevo is the solution.

Pricing

• Standard tiers: Starting around $100 per month based on row limits
• Advanced plans: Custom pricing for higher volumes and enhanced features

For a side-by-side breakdown of both tools across pricing, features, and flexibility, explore our Fivetran vs Stitch Key Comparisons.

9. IBM DataStage – Best for legacy system integration

IBM DataStage is an ETL platform commonly used in enterprises to manage integrations and data movement. It has been part of IBM’s InfoSphere suite for many years and is often employed in environments with legacy systems or complex data landscapes. 

Pros

• Parallel processing engine built for large data volumes
• Supports complex ETL transformations and legacy systems
• Flexible deployment options: on-premise, cloud, or hybrid

Cons

• Slow onboarding and high operational overhead
• High infrastructure requirements, especially for on-premise setups
• Complex to configure and maintain; requires specialized DataStage expertise
• Licensing and support costs are significantly higher, making it expensive for smaller companies.

Advantages of IBM DataStage Over Fivetran

• Legacy Integration: Connects easily with on-premises and mainframe systems, which Fivetran does not natively support.
• Hybrid Flexibility: IBM supports hybrid and on-prem deployments that Fivetran cannot match. However, this flexibility comes with high setup and upkeep costs. 

Pricing

• Enterprise Plan: Custom pricing based on instance type, capacity, and deployment model.
• Standard Plan: Starts around $1.75 per Capacity Unit Hour (CUH).

10. Meltano – Best for developer-driven pipelines

Meltano is an open-source, code-first ELT platform built for engineering teams that prefer full control over their pipelines. It’s ideal for engineering teams that prefer infrastructure-as-code principles and need flexibility to manage data integrations programmatically.

Pros

• Open-source and extensible for complete engineering control
• Git-native pipelines with CI/CD orchestration
• Supports custom connectors and local development

Cons

• High engineering effort for setup, tuning, and ongoing maintenance
• No fully managed cloud offering for hands-free operation
• Monitoring, observability, and recovery must be built and maintained internally

Advantages of Meltano Over Fivetran

• Code-Level Control: Meltano gives engineers full access to pipeline logic and execution, unlike Fivetran’s fully managed model. However, this control requires constant maintenance and monitoring. 
• Flexibility: Meltano gives teams more flexibility than Fivetran through open-source control and customizable connectors, but this comes with heavy engineering overhead. Hevo delivers the same flexibility through fully managed pipelines, predictable pricing, and zero-maintenance reliability.

Pricing

• Managed: Fully hosted, production-ready environment with enterprise features.
• Open Source: Free self-hosted version for full flexibility.
• Team Support: Paid plans for support, SLAs, and expert guidance.

11. Skyvia – Best for SMBs needing easy, wizard-based integration

Skyvia is a cloud-based data integration platform for teams that need simple ETL, data sync, and backup capabilities. It enables users to build data pipelines, automate workflows, and access data via SQL or visual query tools.

Pros

• Provides a wizard-style, user-friendly interface to build pipelines
• Prebuilt connectors for popular SaaS and CRM systems
• Lower entry-level cost compared to many SaaS ELT tools

Cons

• Transformations are basic, not as advanced as modern ELT frameworks
• Skyvia lacks in-app notifications and error logs, making troubleshooting harder
• Jobs may fail under high data volumes or complex logic

Advantages of Skyvia Over Fivetran

• Lower Entry Cost: Skyvia is budget-friendly for smaller workloads, but limited monitoring, lack of alerts, and reliability gaps make scaling difficult. Hevo offers predictable pricing with production-grade stability as data volumes grow.
• Backup + Sync Options: Skyvia offers backup and two-way sync features that Fivetran doesn’t provide, though these capabilities don’t scale well for larger workloads.

Pricing

• Free Plan: Basic integration for a small volume of data.
• Basic to Professional Plans: Varied plans based on data volume and connectors
• Enterprise Plan: Custom pricing for high-volume or compliance-focused use cases.

Pro tip: Before finalizing a vendor, run a short proof-of-concept (POC) with your most critical data sources and destinations. It’s the fastest way to evaluate setup time, reliability, and total cost of ownership in your specific environment.

You can set up a free trial with Hevo to experience no-code setup, real-time reliability, and transparent pricing firsthand.

Conclusion

Each Fivetran alternative offers something different, from open-source flexibility to transformation-rich platforms and workflow automation tools. But once teams move beyond initial proof-of-concept pipelines, the priorities shift toward reliability, predictable costs, and fewer moving parts.

This is where Hevo stands out!

Hevo is the most practical Fivetran alternative for teams that need fast support response, transparent pricing, and reliably flowing pipelines. With fault-tolerant performance, automated scaling, and complete end-to-end visibility, Hevo gives you a stable ELT foundation without surprise costs or slow vendor support.

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