Top 11 Fivetran Competitors & Alternatives (Free & Paid)

If you are a Fivetran user, you must have struggled with complex configurations, skyrocketing prices, and limited scalability at some point. Well, don’t worry, you are not alone. Several other Fivetran users have reported inadequacies in support, rigid integrations, and lack of transparency in pricing. These limitations have pushed various users to look for better Fivetran alternatives that provide value for their money. 

In this post, we will walk you through why you should consider Fivetran Competitors and present the 11 best options to help you choose the best fit for your data integration needs. Our reviews are based on in‑depth research, real user feedback, and firsthand experience, so you can make an informed decision that best suits your business needs.

How Have We Curated This List? We’ve compiled this list by combining real user reviews on trusted sites like G2 and Capterra with detailed assessments of key features, pricing, scalability, etc. Our goal was to find solutions that not only address common challenges faced by Fivetran users but also deliver a user-friendly experience without compromising on performance.

Quick Summary of Fivetran Alternatives

Here is a quick overview of the alternatives to Fivetran, including the features they possess, so you can make an informed decision.

Tool	No. of Connectors	Type of Data Processing	Ease of Use	Pricing
Fivetran	500+	ELT	Fully managed, zero-maintenance architecture, user-friendly interface	MAR and connector based pricing, highly expensive.
Hevo Data	150+	ETL/ELT	Fully managed, no-code interface, easy setup	Affordable, tier-based pricing, starting from $239/month
Airflow	No fixed number varies on custom operators	ETL/ELT	Open-source, requires Python knowledge, flexible but complex	Free (self‑managed)
Airbyte	350+	ELT	Intuitive interface but requires technical knowledge.	Free (self‑hosted) / Managed plans
IBM DataStage	80+	ETL	Enterprise-focused, requires technical expertise	Tiered pricing options
Meltano	550+	ELT	Open-source, code-first approach, requires some technical knowledge	Free with custom support options
Rivery	200+	ELT	Serverless, no-code environment, user-friendly	Credits‑based pricing
Talend (Qlik)	100+	ETL	Comprehensive interface requires some technical knowledge	Custom pricing
AWS Glue	20+	ETL	Serverless, integrated with AWS services, requires AWS familiarity	Region‑based and job‑based pricing.
Matillion	150+	ELT	GUI-based, user-friendly for data transformation	Expensive, Based on credits.
Stitch	140+	ETL	Simple setup, best for common data sources, limited customization	From $100/month
Skyvia	200+	ETL/ELT	Fully managed, easy setup, easily connect multiple connectors.	Multiple tiers from Free to Enterprise.

11 Fivetran Alternatives For Better Data Integration Needs

1. Hevo Data

G2 Rating: 4.4(259)
Capterra Rating: 4.7(100)

Hevo Data immediately impressed us with its no-code, drag-and-drop interface that made setting up data pipelines straightforward and fast. We found that its automatic schema management and 24×7 support dramatically reduced our configuration hassles and saved us valuable time.

For teams looking to avoid complex coding, Hevo stands out as a reliable alternative to Fivetran. Although its connector library isn’t as extensive, the ability to request additional connectors and its overall ease of use make it a strong, cost-effective option.

Key Features of Hevo

• Multiple Connectors: Supports 150+ connectors, including 60+ free sources for wide-ranging data integration.
• Auto Schema Management: Automatically handles schema changes without manual intervention.
• Pre and Post-Load Transformations: Offers robust transformations before and after data loading.
• No-Code Interface: User-friendly interface for easy pipeline setup.
• 24×7 Support: Round-the-clock customer support for any issues or guidance.
• Transparent and Competitive Pricing: Straightforward pricing with no hidden fees.

Watch this customer story to hear from their customers.

Pros and Cons

Pros	Cons
1. User-friendly drag and drop interface 2. Transparent and affordable pricing. 3. 24*7 dedicated support. 4. Vast documentation available.	1. Lacks on premise hosting options. 2. It has fewer connectors as compared to Fivetran but you can request any connector you need.

Pricing

• Free Plan: Supports up to 1M events per month for 5 users per team
• Starter Pack: Starting at 299$ per month with up to 50M monthly events with SSH/SSL encryption connection.
• Professional Pack: This pack starts at $679 monthly and includes up to 100M monthly events, reverse SSH, and unlimited users.
• Business Critical: If you want to transfer for more than 100M monthly events, you can contact our sales team for a custom quote.

What Do Customers Think About Hevo?

Ebury, one of Hevo’s recent customers, was previously using Fivetran for its data migration needs. They switched to Hevo for better support, enhanced reliability, and attractive pricing. Here’s what they said:

With Hevo, our data is more reliable as it was compared to Fivetran at a way better price. Hevo allows us to build complex pipelines with ease, and after factoring in the excellent customer service and reverse ETL functionality, it is undoubtedly the best solution available in the market.

– Juan Ramos, Analytics Engineer, Ebury

Another user wrote on G2, “I love the simplicity and ease free nature of setting up pipelines. As some members in our team who come from non-tech background having knowledge in data, this tools helps them get the work done faster without having to worry about the programming and infrastructure side of it. It easily integrates in our platform. The customer support is excellent as well.” 

According to these reviews, Hevo Data has an easy-to-use interface, powerful real-time data pipelines, and great support. These reviews see Hevo Data as a dependable, feature-rich solution providing endless hassle-free ETL in an affordable price.

Final Verdict

Hevo Data is a powerful Fivetran alternative if you need a hassle‑free, real‑time ETL solution with robust support and scalable performance. Compared to alternatives like Apache NiFi or Airbyte, Hevo offers a more polished, enterprise‑ready solution that minimizes the need for in‑house technical support.

Resources

Documentation | Pricing | Connectors

2. Airbyte

G2 Rating: 4.5(47)
Capterra Rating: NA

Airbyte offers an open-source, highly customizable approach to ELT that we found ideal for building tailor-made connectors. Its robust, community-driven library allows teams to adapt the tool to their evolving data needs without incurring high costs.

While we appreciate its flexibility, we also experienced that Airbyte requires solid technical expertise. For teams comfortable with coding, it provides a cost-effective and dynamic solution, but it might be challenging for those seeking an out-of-the-box plug-and-play experience.

Key Features of Airbyte

• Open-source and highly customizable.
• Extensive connector library with community contributions.
• Cost-effective for small-scale implementations.
• Self-hosted and managed deployment options are available. 
• Build LLM applications with Python libraries, SQL tools, and AI frameworks.

Pros and Cons

Pros	Cons
1. Cost-effective since it is open-source. 2. Highly customizable. 3. Active community support, vast resources, and documentation are available.	1. Steep learning curve 2. Requires technical expertise 3. Maintenance overhead in self-hosted model.

Pricing

• Open Source Edition: This edition is free and has community support on Slack.
• Cloud Edition: $2.50 per credit. 
• Team Edition: This tier offers custom pricing. 
• Enterprise Edition: This tier offers customized pricing for large enterprises. 

What Do Customers Think About Airbyte?

A certified G2 user wrote, “Airbyte is an amazing tool. It provided a clean and seamless UI to create ELT pipelines. It makes integrating data sources and applying logic so easy that a person with just an overview of the technology can use it without going deeper into the technical part.”

Another user wrote, “So far no dislikes about using the tool for my data workloads, maybe one feature to get better is to keep the connector’s documentation updated. Frequently, I haven’t found proper documentation for some of the connectors that are already implemented, and including some code samples on how to use them won’t hurt anybody!” 

These reviews highlight that Airbyte has been designed for open‑source flexibility with an extensive connector library. However, the open-source nature of the platform does require technical expertise, portraying Airbyte as an effective and highly customizable option best suited for coding-experienced stakeholders.

For Airbyte’s live demos, check out their website. 

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Final Verdict

Airbyte is the ideal choice for tech‑heavy teams looking for a customizable, open‑source alternative to Fivetran that can be adapted to meet complex data integration needs. Its active community ensures rapid iterations and frequent updates, making it a dynamic solution for organizations with evolving data requirements.

3. Rivery

G2 Rating: 4.7(113)
Capterra Rating: 5.0(12)

We were drawn to Rivery for its powerful data replication and transformation capabilities, especially in handling complex enterprise workflows. Its advanced scheduling and conditional logic allowed us to streamline our data orchestration with impressive scalability.

Though the initial setup took a bit more time, we found that Rivery’s flexibility and robust data flow management truly paid off in dynamic environments. It’s a solid choice for organizations that need an enterprise-grade solution to replace Fivetran.

Key Features of Rivery

• Flexible ELT options.
• Scalable for large data volumes.
• Comprehensive data transformation features.
• Rivery Copilot allows you to build pipelines with GenAI.

Pros and Cons

Pros	Cons
1. Highly customizable  2. Great for handling complex data orchestration. 3. Easy to use user interface. Good customer support.	1. Pricing may be less transparent for new users. 2. Requires Initial Setup Time. 3. Lacks few niche connectors.

Pricing

• Starter: $0.75 per credit. 
• Professional: 1.20$ per credit
• Enterprise: Custom pricing tailored to your needs.

What Do Customers Think About Rivery?

“We looked at Matillion, Informatica, Fivetran, Rivery, probably three or four more. We tested every single one, took free trials, did this, did that, looked at features, looked at pricing, and picked Rivery. And over the years, we have redone that shopping and confirmed our choice, that Rivery is exactly what we want.”- Eric Sanders, VP, Business Analytics & Platforms, Entravision

Another user wrote on G2, “Using Rivery for marketing APIs has really streamlined the process of pulling data from multiple marketing platforms and centralizing it for analysis and reporting. By far the best thing about my own experience with Rivery has been the attentive customer support, clear onboarding/support process, and regular check ins.” 

Reviews highlight its expertise in marketing API integrations, conditional logic, and powerful data transformations. These reviews describe Rivery as an enterprise-grade tool that provides great flexibility for complex data flows.

Final Verdict

Rivery is one of the best Fivetran alternatives for large organizations needing flexible, enterprise-grade data orchestration with advanced transformation and scheduling options. Users have reported reducing manual data management costs by as much as 33%. Therefore, the overall expenditure gets reduced.

4. Talend

G2 Rating: 4.0(65)
Capterra Rating: 4.6(14)

Talend offers a comprehensive suite for end-to-end data integration and governance that we found invaluable for managing complex data ecosystems. Its extensive support for databases, SaaS applications, and legacy systems makes it a versatile option for large organizations.

However, our experience showed that Talend comes with a steep learning curve and may require dedicated IT resources. While it’s a powerhouse for enterprise-level data management, smaller teams might find it a bit overwhelming compared to more streamlined alternatives.

Key Features of Talend

• Comprehensive data governance and compliance tools.
• A broad range of data integration solutions.
• Suitable for large enterprises with complex needs.
• Supports an extensive range of databases, SaaS applications, and legacy systems.

Pros and Cons

Pros	Cons
1. Provides an end-to-end solution for organizations with complex, enterprise‑wide data management needs. 2. Deploys on-premises, cloud, multi-cloud, or hybrid-cloud.cludes advanced analytics and machine learning integrations.	1. May require dedicated IT resources for setup and ongoing maintenance. 2. Pricing can be steep, making it less suitable for smaller organizations. 3. Has a steep learning curve.

Pricing

• Starter
• Standard
• Premium
• Enterprise

What Do Customers Think About Talend?

Ranadip Dutta, Solution Architect Manager at Lenovo said, “Talend gave us the real automation we needed, along with collation, massaging, cleansing, scheduled jobs and more. The execution was really smooth.”  Listen directly from them to know more:

Another prominent customer of Talend, Dan Djuric, Vice President, Global Infrastructure and Enterprise Information Management at Domino’s praised the ease of use Talend provides. “Talend is now our data mobilization platform,” he says. “Everything that happens in our ecosystem starts with Talend. It captures data, cleanses it, standardizes it, enriches it, stores it, and allows it to be consumed by multiple teams.”

A user took to G2 to highlight the difficulties they’ve been facing, he wrote,“ Setting up and configuring the software is very hard. Also, it has a learning curve for graphical interface.” 

In these testimonials, Talend emerges as a strong, well-rounded solution, perfect for big organizations with demanding data integration needs. A few of them talk of end-to-end functionality, wide-ranging suite support, and strong data governance capabilities, while others have mentioned higher learning curves.

Final Verdict

Talend is best suited for large organizations that require an end‑to‑end data integration and governance solution. Its robust capabilities make it a strong competitor among fivetran alternatives. While its complexity and cost might be prohibitive for smaller teams, for large enterprises, the comprehensive feature set offers significant long‑term value.

5. AWS Glue

G2 Rating: 4.2(189)
Capterra Rating: 4.0(9)

AWS Glue is a fully managed, serverless ETL service provided by Amazon. It allows you to connect to over 70 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes.

For teams already embedded in the AWS ecosystem, Glue is a cost-effective and efficient solution. However, its pricing model and the need for familiarity with AWS-specific practices can be a hurdle for those new to the platform.

Key Features of AWS Glue

• Fully managed platform with auto-scaling. 
• Deep integration with the AWS ecosystem.
• Pay-as-you-go pricing.
• Serverless architecture for easy scaling.
• Tracks metadata and keeps track of data lineage

Pros and Cons

Pros	Cons
1. Pay-as-you-go model is cost-effective for users. 2. Seamless integration with other AWS tools and services. 3. Automatically scales with increasing workload.	1. Recommended for organizations using AWS suite. 2. Region‑based and job‑based pricing can be confusing for new users. 3. Knowledge of Python and Scala is required

Pricing

AWS Glue provides region-based pricing and job-based pricing. There are four types of AWS Glue jobs: Apache Spark, Apache Spark Streaming, Ray (Preview), and Python Shell. 

What Do Customers Think About AWS Glue?

A certified G2 user wrote, “AWS Glue integrates very well with AWS services which are now widely being used by almost every company, since it’s AWS original tool, it easily integrates with all others like S3 and redshift.” 

Another user wrote about the difficulties they were facing, “At first, especially if you are unfamiliar with cloud services, it might be a little difficult to understand the pricing. Monitoring usage is essential to preventing unforeseen expenses. Furthermore, even though the graphical user interface is excellent, more customization choices might be available for sophisticated users who want to optimize their data workflows.” 

These reviews portray AWS Glue as a powerful AWS service offering seamless integration with other AWS tools and a user-friendly interface, but users also cite pricing complexity and a learning curve, especially for advanced customization.

Final Verdict

AWS Glue is a cost‑effective Fivetran alternative for AWS‑centric businesses, offering seamless integration, scalable performance, and a serverless architecture. However, if you require a tool that works equally well in multi‑cloud environments (like Fivetran alternatives GCP), you may need to consider other options.

6. Matillion

G2 Rating: 4.4(77)
Capterra Rating: 4.3(111)

Matillion stood out for its fast and visually driven ETL process. Its intuitive pipeline designer accelerates data loading and transformation, making it an excellent fit for cloud-based enterprises. While some familiarity with SQL and Python is beneficial, the overall experience is highly streamlined.

Key Features of Matillion

• Deep integration with major cloud data warehouses.
• Integrates with AI and machine learning tools for advanced analytics and predictive modeling.
• Features an intuitive, drag-and-drop interface for designing ELT processes
• Simplifies and automates data workflows with built‑in scheduling.
• Matillion copilot lets you convert plain text to complex transformations. 

Pros and Cons

Pros	Cons
1. Optimized for fast data loading and complex workflows. 2. Intuitive visual designer for low-code pipelines. 3. Works effortlessly with leading cloud data platforms.	1. Requires SQL and Python knowledge. 2. Less transparent pricing.Limited customization.

Pricing

• Basic: Starting at $2.00/credit, you start with 500 monthly credits
• Advanced: For $2.50/credit, you get 750 monthly credits.
• Enterprise: For $2.70/credit, you get 1000 monthly credits.

What Do Customers Think About Matillion?

“With Matillion, we can ramp up resources quickly, and the teams can deliver production pipelines within a matter of weeks.” said James Rawlinson, Cloud Architect at London Stock Exchange Group. Here, from him, how Matillion helped them optimize their operations.

Adley Amzovski, VP of Analytics at SimpleTire, another prominent customer of Matillion quoted, “We’re able to build complex models and deploy in Matillion within hours, and with other tools that would have been extremely difficult.” 

A certified Matillion user wrote on G2,” Handling complex data transformations can be challenging. Costs can add up, especially at scale. Customization options feel limited. Locked into the cloud environment.” 

These reviews depict Matillion as a tool that significantly accelerates data pipeline development and deployment, enabling rapid scaling and complex model building. However, users also point out challenges with handling complex transformations, potential cost increases at scale, limited customization, and cloud environment lock-in.

Final Verdict

Matillion is an excellent Fivetran alternative for cloud‑focused enterprises that demand high performance, intuitive design, and robust integration with modern data warehouses. However, increases in pricing, complexity in usage, and scalability issues are potential concerns for users. 

7. Airflow

G2 Rating: 4.3(86)
Capterra Rating: 4.6(10)

In our experience, the enormous level of customization and a variety of support available from the great community make it suitable for organizations that can afford and build in-house expertise. However, its steep learning curve and need for dedicated infrastructure pose challenges for a team naturally expecting plug-and-play resolutions.

Features of Airflow

• Highly customizable and open-source.
• Strong community support.
• Ideal for complex workflows.
• Programmatically author, schedule, and monitor workflows.
• Leverage a vast range of community‑developed plugins.

Pros and Cons

Pros	Cons
1. Open-source tool that is free to use. 2. Large community support. 3. Ideal for complex, multi‑step workflows.	1. Requires technical expertise. 2. Not a user-intuitive plug and play tool. 3. Self‑hosting can incur additional infrastructure costs.

Pricing

It is a free tool, but you must manage your Infrastructure Costs.

What Do Customers Think About Airflow?

An Airflow user wrote on G2, “The best thing about Apache Airflow is that it provides integration with various services like big query, AWS, GCP etc. Plus it is available as service in all cloud provides which provides seamless experience. The User Experience is perfect.”

Another user wrote about the learning curve and complexity of the tool, saying, “ Apache Airflow has a steep learning curve, especially for users who are new to workflow orchestration concepts or Python programming. Airflow’s feature-richness and flexibility can sometimes feel overwhelming for simple use cases.”  

These reviews highlight Airflow’s strong integration capabilities and availability across major cloud platforms, leading to a positive user experience. However, they also emphasize a significant learning curve, particularly for those unfamiliar with workflow orchestration and Python, and note that its complexity can be overwhelming for simpler tasks.

Final Verdict

Apache Airflow is more appropriate for organizations that have an in-house capability to carry out data workflow management and customization. It is a flexible alternative to Fivetran for teams with complicated orchestration demands.

8. Stitch

G2 Rating: 4.4(68)
Capterra Rating: 4.3(4)

Stitch provides a very simple yet economical means to build ETL pipelines, a fact that makes the solution very catchy for startups and smaller teams. During evaluation, we were impressed by the very fast onboarding and transparent pricing beginning at $100 monthly for basic needs. However, some users reported a limited selection of connectors and insufficient support.

Key Features of Stitch

• More affordable for small teams.
• Easy to set up and use.
• Transparent pricing model.
• Integrates with 140+ databases, SaaS applications, and data warehouses.
• SOC 2 Type II certified, HIPAA BAA, ISO/IEC 27001, GDPR, and CCPA for secure data. 

Pros and Cons

Pros	Cons
1. Simple interface and quick onboarding. 2. Maintains data syncs with minimal downtime. 3. Transparent and competitive pricing.	1. Poor customer support. 2. Lack of connectors. 3. Not optimized for high data volume. 4. Lack of maintenance of connectors.

Pricing

• Standard: It starts at $100 monthly with 5-30M rows/month.
• Advanced: It starts at $1250 monthly, with 100M rows/month.
• Premium: It starts at $2500 monthly with 1B rows/month. 

What Do Users Think About Stitch?

Murilo Nigris, Team Lead at AMARO quoted, “Stitch had the connectors we needed already available at a fair price. It was easy to use and needed no maintenance.”

A Stitch user wrote on G2, stating, “Code free and easy integration. Also free limit for new integrations which help in testing. In MongoDB integration, not all records are loaded from source to target. Upon reaching the customer service, there is too bad. They respond once in 3 days. Data quality is too bad with Stitch.” 

Various other users have also pointed out that even though Stitch is an easy-to-use tool, it lacks in reliability, customer support, and other major factors. 

Final Verdict 

Stitch is a good alternative for small businesses and startups looking for affordable options. Although it lacks the finesse and support provided by certain other tools, it is an easy-to-use tool for basic use cases. 

9. IBM DataStage

G2 Rating: 4.0(69)
Capterra Rating: 4.5(2)

IBM DataStage is a powerful data integration tool that facilitates data extraction, transformation, and loading (ETL) across various systems. It is part of the IBM Cloud Pak for Data and is designed to help organizations manage and integrate data efficiently, whether in on-premises, hybrid, or cloud environments. Our hands-on tests confirmed its advanced parallel processing and data governance features. However, its steep learning curve, less intuitive UI, and higher cost can be a drawback for smaller teams.

Key Features of IBM DataStage

• Process data at scale by optimizing ETL performance with a best-in-breed parallel engine.
• Execute cloud runtimes remotely wherever the data resides while maintaining data sovereignty and minimizing costs.
• Protect sensitive data with metadata exchange using IBM Watson.
• Use governance capabilities on IBM Cloud Pak for Data.

Pros and Cons

Pros	Cons
1. Handles complex and large data volumes with ease. 2. Comprehensive feature set. 3. Protects sensitive data with metadata exchange using IBM Knowledge Catalog.	1. Steep learning curve for beginners. 2. Poor user interface.Requires technical knowledge of SQL. 3. Expensive for small businesses.

Pricing

• Lite: It is a Free plan limited to 15 capacity unit hours per month. 
• Standard: $1.828/Capacity Unit-Hours per month. 
• Small Enterprise Bundle: $8260/Instance or $1.828/Capacity Unit-Hour with 5000 CUH included.
• Medium Enterprise Bundle: $14600/Instance or $1.828/Capacity Unit-Hour with 10000 CUH included.
• Large Enterprise Bundle: $32000/Instance or $1.83/Capacity Unit-Hour with 25000 CUH included.

What Do Customers Think About DataStage?

A Datastage wrote on G2, “We use InfoSphere DataStage for ETL in our organisation and as datastage can easily handle large data (Tbs) and we can transform our data easily. It’s easier to design our jobs in datastage and to run them.”

Another G2 user mentioned ease of use along with some difficulties faced, “The thing that I don’t like about IBM Infosphere DataStage application is a plan of it is costly. Also, the Metadata propagation in Jobs is somewhat complex for some users and issues in the processing of XML.” 

These reviews portray DataStage as powerful for handling large data volumes and simplifying job design, making it effective for enterprise-level ETL. However, users cite high costs and complexities related to metadata propagation and XML processing as notable drawbacks.

Final Verdict

IBM DataStage is a great alternative to Fivetran for large organizations that want a capable enterprise-grade ETL platform with advanced features in data governance and analytics. Flexible deployment options along with robust integration with advanced analytics make it an excellent solution for organizations with great data processing needs.

10. Meltano

G2 Rating: 4.9(7)
Capterra Rating: NA

Meltano is an emerging open-source data engineering solution designed to give teams more control over their pipelines, through a code-first and declarative approach. Our experience with Meltano shows great flexibility, strong community support, and represents a great choice for organizations driven by developers. However, since it is a young tool, it takes quite some time for the learning curve and customization.

Key Features of Meltano

• Meltano is open-source, free to use, and highly customizable.
• Meltano takes a declarative, code-first approach to data integration, allowing users to define pipelines using configuration files stored in Git repositories.
• Active community and regular updates.

Pros and Cons

Pros	Cons
1. Free and open-source. 2. Full pipeline control. 3. Integrates well into DevOps workflows and CI/CD pipelines.	1. Steeper learning curve. 2. New tool, so lack of documentation and still developing features.

Pricing

It is a Free tool for teams who need to deploy on their infrastructure. They also have a custom plan if you want their custom support package. 

What Do Customers Have to Say About Meltano?

“Meltano makes it easy to pull data from nearly any data source. The Singer SDK allows me to quickly build new connectors for any platform I’m working with.”- Stephen Sciortino, Data Engineer at Brooklyn Data Co. 

A certified G2 user wrote, “I’ve been moving >1TB/day with Meltano for over a year now at a negligible cost; the next best alternative would’ve cost over a million or at least one FTE data engineer. It saves us at least $1M/yr and makes my job easy. Although it’s a young tool, still changing fast; keep your eyes on best practices as it evolves. But the team is responsive and the community is super friendly. Definitely join the Slack community, too!” 

Meltano offers cost-effective, adaptable data integration, with strong community support and flexible connectors, though as a newer tool, it’s undergoing rapid development.

Final Verdict

Meltano is the ideal Fivetran alternative for developer‑driven organizations seeking an open‑source, fully customizable data integration platform that offers complete pipeline control. Although it is a young and still developing tool, it has a powerful feature set that can cater to all your business needs. 

11. Skyvia

G2 Rating: 4.8(242)

Skyvia provides cloud-based data management solutions with an intuitive, wizard-like interface and flexible pricing options. One of the things that we noted in our evaluation: the ease of use, coupled with affordable plans, really works for startups and SMBs. It may not scale as easily as other enterprise-level alternatives, but you can bet that the simple style of Skyvia will suit teams with limited technical resources.

Key Features of Skyvia

• Skyvia provides cost-effective plans, including a free tier, making it suitable for smaller businesses or projects, unlike Fivetran’s MAR-based pricing.
• With Skyvia, you can transform and clean data before loading it into the destination, a feature that Fivetran lacks.
• Skyvia is scalable for small to medium-sized businesses, with plans tailored to startups or smaller data projects.

Pros and Cons

Pros	Cons
1. Affordable pricing for small to medium‑sized businesses. 2. Easy to use even for teams with limited technical expertise. 3. No coding wizard-based solution.	1. Limited scalability. 2. Limited customizations. 3. Lacks some advanced features present in other platforms.

Pricing

It provides five pricing options to its users:

• Free
• Basic: $70/mo
• Standard: $159/mo
• Professional: $199/mo
• Enterprise: Contact the team for pricing information.

What Do Customers Think About Skyvia?

EdTech leader Vedantu extracts value from data with Skyvia. Chandan Alawadhi,

Senior Program Manager at Vedantu quoted, “Among the results of implementing, Skyvia helped us remove redundancies in the processes, reduce data gaps, and thus save overall cost.”

A certified G2 user wrote about her experience of using Skyvia, “Skyvia appears very efficient in transferring data from Google Sheets to Amazon S3. Its interface is understandable, so it’s rather easu to set up and manage data flows. Its ability to schedule data exports and automate workflows is a huge plus. Owing to Skyvia we know that the data on Amazon S3 is always up-to-date without frequent manual interventions.” 

Based on these testimonials, Skyvia can be seen as a user-friendly, efficient, and cost-effective tool for automating data workflows and ensuring reliable data transfer, particularly between cloud services, leading to reduced costs and improved data accuracy.

Final Verdict

Skyvia is designed for organizations that are budget‑conscious but still require robust data management capabilities. It stands out as a Fivetran alternative for startups and SMBs that need a cloud‑based data integration solution with a simple setup and flexible pricing.

Want to understand Fivetran’s pricing better? Don’t miss our blog, Breaking Down Fivetran Pricing Model, for insights that can help you choose the best alternative for your needs.

Factors to Consider in Choosing a Fivetran Alternative

When exploring alternatives to Fivetran, it’s essential to evaluate key factors to ensure the new solution aligns with your business needs. Here are some critical aspects to consider:

• Security & Compliance – Check for compliance with industry standards like GDPR, HIPAA, and SOC 2, especially if handling sensitive data.
• Pricing Structure – Compare cost models, significantly if your data volume is growing. Look for transparent pricing that scales efficiently.
• Connector Availability – Ensure the alternative supports all your data sources, including niche or custom applications.
• Real-Time Processing – If you need real-time data updates, verify whether the tool supports streaming data.
• Ease of Use & Maintenance – Consider how user-friendly the platform is and whether it requires extensive setup or ongoing management.
• Scalability & Performance – Ensure the alternative can efficiently handle your current and future data workloads.

Conclusion

Choosing the right ETL tool can be challenging, but we hope this comparison has made it easier for you. Each tool has its strengths and weaknesses, so consider your specific needs and budget when deciding. Hevo Data, for example, is an excellent choice if you’re looking for a user-friendly, flexible, and robust data integration platform. Sign up for a 14-day free trial and experience Hevo’s feature suit to know why it is a better choice than Fivetran. 

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