When it comes to ELT tools, Fivetran is a well-known name. But what if you’re exploring other options? We’ve done the research and tested various tools to give you a clear picture of the best Fivetran alternatives out there. Let’s dive into the top 10 Fivetran competitors and how they stack up against it. We’ll also include a handy comparison table to help you make an informed decision. Let’s get started!
What Makes a Great ELT Tool?
Before we jump into the comparison, let’s quickly recap what makes a great ELT tool. The best ELT tool should:
- Seamlessly integrate with various data sources and destinations.
- Automate data pipelines to save time and reduce errors.
- Offer robust transformation capabilities to clean and prepare data.
- Provide user-friendly interfaces for easy setup and maintenance.
- Scale efficiently to handle large volumes of data.
- Ensure transparent, pay-as-you-go pricing that adjusts based on data volume.
With these criteria in mind, let’s explore the top 10 Fivetran alternatives.
Top 10 Fivetran Competitors
1. Hevo Data
G2 Rating: 4.3(232)
Capterra Rating: 4.7(100)
Hevo Data is a no-code data pipeline platform that automates data integration, making it easy for you to load data from various sources into your data warehouse. Hevo stands out with its ease of use, comprehensive transformation capabilities, and excellent customer support.
Why choose Hevo over other platforms?
- 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.
Key Features Compared to Fivetran
- It has a simpler setup and a more intuitive interface.
- It supports both ELT and ETL.
- More flexible transformation options.
- Robust 24×7 customer support.
- Transparent pricing model.
Pricing
- Free Plan: Supporting up to 1M events per month for 5 users per team
- Starter Pack: Starting at 239$ 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.
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2. Airbyte
G2 Rating: 4.5(47)
Capterra Rating: NA
Airbyte is an open-source ELT tool that allows you to build custom data connectors. It’s highly flexible and community-driven, making it a great choice for tech-savvy teams.
Key Features Compared to Fivetran
- Open-source and highly customizable.
- Extensive connector library with community contributions.
- Cost-effective for small-scale implementations.
Pricing
- OpenSource Edition: This edition is free and has community support on Slack. It is ideal for small teams or projects with technical expertise.
- Cloud Edition: The Cloud Starter Edition offers a pay-as-you-go model with $2.50 per credit.
- Team Edition: This tier offers custom pricing. It provides additional features and enhanced support, including enterprise-grade security, dedicated customer success, and professional support.
- Enterprise Edition: This tier offers customized pricing for large enterprises that require advanced features, priority support, and custom solutions.
To know more about pricing
3. Rivery
G2 Rating: 4.7(113)
Capterra Rating: 5.0(12)
Rivery is a data integration platform that offers ELT capabilities. It’s known for its flexibility and scalability, making it a good fit for large enterprises. With Rivery, you can control your data flow and manage dependencies between and within your pipelines with conditional logic, containers, loops, and advanced scheduling.
Key Features Compared to Fivetran
- Flexible ELT options.
- Scalable for large data volumes.
- Comprehensive data transformation features.
Pricing
- Starter: $0.75 per credit. It is ideal for small data and BI teams. It is limited to one environment and two users.
- Professional: 1.20$ per credit, and is for advanced data teams. It supports up to 3 environments, but it also supports unlimited users with access to Rivery’s API & CLI.
- Enterprise: This is ideal for organizations working across teams and regions that need unlimited scale and extensive security. It supports custom plans tailored to your needs.
4. Talend
G2 Rating: 4.0(65)
Capterra Rating: 4.6(14)
Talend Open Studio, a free, open-source ETL tool, was a well-established player in the data integration space. It offers many data management solutions, including powerful ETL capabilities and robust data governance features. However, due to declining community adoption, Talend has made the difficult decision to discontinue the open-source version of Talend Studio. In response, they have partnered with Qlik to offer free and paid versions of their data integration platform, continuing their commitment to data quality and integration.
Key Features Compared to Fivetran
- Comprehensive data governance and compliance tools.
- A broad range of data integration solutions.
- Suitable for large enterprises with complex needs.
Pricing
- Starter: This is their basic plan and supports pre-built connectivity to various SaaS sources.
- Standard: With everything in Starter Plus, you can operationalize real-time data movement at scale with change data capture.
- Premium: With everything in Standard Plus, you can automate data transformations using ELT or ETL. You can also integrate using APIs.
- Enterprise: With everything in Premium Plus, you can enrich your data and pipelines with integrated LLM extensibility.
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. It’s designed for use with Amazon’s data ecosystem and offers robust integration with other AWS services.
Key Features Compared to Fivetran
- Deep integration with AWS ecosystem.
- Pay-as-you-go pricing.
- Serverless architecture for easy scaling.
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.
- Spark and Spark Streaming jobs in AWS Glue require a minimum of 2 DPUs, with default allocations of 10 DPUs and 2 DPUs, respectively, with $0.44 per DPU-Hour for each Apache Spark or Spark Streaming job.
- Ray (Preview) jobs need at least 2 M-DPUs, but they default to 6 M-DPUs and are billed in 1-second increments with a 1-minute minimum, with $0.44 per M-DPU-Hour for each Ray job.
- Python Shell jobs can use 1 DPU or 0.0625 DPU, with a default of 0.0625 DPU and a 1-minute minimum billing duration, with $0.44 per DPU-Hour for each Python Shell job.
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6. Matillion
G2 Rating: 4.4(77)
Capterra Rating: 4.3(111)
Matillion is a popular cloud-based ELT platform that allows users to quickly transform data and load it into their desired data warehouse. It supports integrating with diverse data sources and provides users with a flexible platform.
Key Features Compared to Fivetran
- 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
Pricing
- Basic: Starting at $2.00/credit, you start with 500 monthly credits. You can only add 5 users per team with Application-level permissions.
- Advanced: For $2.50/credit, you get 750 monthly credits. You can add unlimited users and project-level permissions.
- Enterprise: For $2.70/credit, you get 1000 monthly credits. You can deploy over a hybrid cloud and use CDC pipelines.
7. Airflow
G2 Rating: 4.3(86)
Capterra Rating: 4.6(10)
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It’s highly customizable and suitable for complex ETL and ELT tasks.
Key Features Compared to Fivetran
- Highly customizable and open-source.
- Strong community support.
- Ideal for complex workflows.
Pricing
It is a free tool, but you must manage your Infrastructure Costs.
8. Stitch
G2 Rating: 4.4(68)
Capterra Rating: 4.3(4)
Stitch offers simple, extensible ETL pipelines that can handle various data sources. It’s known for its simplicity and ease of use, especially for smaller teams or startups.
Key Features Compared to Fivetran
- More affordable for small teams.
- Easy to set up and use.
- Transparent pricing model.
Pricing
- Standard: It starts at $100 monthly with 5-30M rows/month. It supports a 7-day historical sync, 10 Sources, and 1 Destination, and you can add up to 5 users.
- Advanced: It starts at $1250 monthly, with 100M rows/month. It supports 3 destinations, and you can add unlimited users and have API access.
- Premium: It starts at $2500 monthly with 1B rows/month. It supports 5 destinations, and you can choose advanced connectivity options.
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.
Key Features Compared to Fivetran
- 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.
Pricing
- Lite: It is a Free plan limited to 15 Capacity Unit-Hours per month. Lite plans are restricted, so only one DataStage job can run simultaneously.
- Standard: $1.828/Capacity Unit-Hours per month. But you can run multiple jobs simultaneously.
- 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.
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10. Meltano
G2 Rating: 4.9(7)
Capterra Rating: NA
Meltano is an open-source data integration platform in the GitLab ecosystem that enables data teams to extract data from various sources, transform it, and load it into target systems. It is designed to streamline the ELT (Extract, Load, Transform) process and promote best practices in data engineering and DevOps. Meltano is designed for data teams that want full control over their data pipelines.
Key Features Compared to Fivetran
- 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.
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.
Head-to-Head Comparison
To make your decision easier, here’s a quick comparison table of the top 10 Fivetran competitors, including Fivetran itself.
Free Tools
| Tool | No. of Connectors | Type of Data Processing | Ease of Use |
| Fivetran | 500+ | ELT | Fully managed, zero-maintenance architecture, user-friendly interface |
| Hevo Data | 150+ | ETL/ELT | Fully managed, no-code interface, easy setup |
| Airbyte | 350+ | ELT | Intuitive interface but requires technical knowledge. |
| Airflow | No fixed number varies on custom operators | ETL/ELT | Open-source, requires Python knowledge, flexible but complex |
| IBM DataStage | 80+ | ETL | Enterprise-focused, requires technical expertise |
| Meltano | 550+ | ELT | Open-source, code-first approach, requires some technical knowledge |
Paid Tools
| Tool | No. of Connectors | Type of Data Processing | Ease of Use |
| Fivetran | 500+ | ELT | Fully managed, zero-maintenance architecture, user-friendly interface |
| Rivery | 200+ | ELT | Serverless, no-code environment, user-friendly |
| Talend (Qlik) | 100+ | ETL | Comprehensive interface requires some technical knowledge |
| AWS Glue | 20+ | ETL | Serverless, integrated with AWS services, requires AWS familiarity |
| Matillion | 150+ | ELT | GUI-based, user-friendly for data transformation |
| Stitch | 140+ | ETL | Simple setup, best for common data sources, limited customization |
Conclusion
Choosing the right ETL tool can be challenging, but we hope this comparison has made it easier for you. Each tool has its own 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 powerful data integration platform.
FAQ on Fivetran Competitors and Alternatives
Are there open-source alternatives to Fivetran?
Yes, Airbyte and Meltano are open-source ETL tools that provide flexibility and customization options. Hevo also provides a Free version with limited data ingestion.
Can these tools integrate with Snowflake?
Yes, most of these ETL tools, including Hevo Data, Matillion, and Stitch, offer seamless integration with Snowflake.
What is the best alternative to Fivetran?
It depends on your specific needs, but Hevo Data and Rivery are some popular alternatives due to their ease of use and flexibility.
What factors to consider when choosing a Fivetran alternative?
When selecting a Fivetran alternative, consider scalability for growing data needs, ease of use with a user-friendly interface, a robust connector library for current and future data sources, and strong data governance features like lineage tracking, access controls, encryption, and regulatory compliance.
Harsh is a data enthusiast with over 2.5 years of experience in research analysis and software development. He is passionate about translating complex technical concepts into clear and engaging content. His expertise in data integration and infrastructure shines through his 100+ published articles, helping data practitioners solve challenges related to data engineering.
