Introduction
In the data-driven modern world, organizations are quite dependent on ETL tools that help them integrate their data efficiently. These are the tools that base their guarantee of a smooth flow of data from sources to destinations for supporting businesses in making decisions. Fivetran and Matillion are at the top of the list of ETL tools. Fivetran vs Matillion summarizes all the features, strengths, and use cases of both platforms so that you can pick the right tool for your data integration task.
Overview of Fivetran
G2 Rating: 4.2(377)
Gartner Rating: 4.5(268)
Fivetran is a cloud-based ELT tool that delivers high-end performance and robust integration support. It supports over 500+ pre-built no-code source connectors, various databases, and other custom integrations.
Background and Company Overview
Fivetran, founded in 2013, has seen steep growth in the data integration space. The platform provides automated data pipelines with no required manual coding or maintenance. Its mission is to make gathering and centralizing data the easiest way.
Key Features and Capabilities
Fivetran offers several key features, including:
- Access to 500+ data connectors
- Offers 99.99% uptime across 1M+ data syncs
- Automatically adjusts to changes in the source schema
- Supports popular destinations such as Snowflake, BigQuery, and Redshift, offering flexibility for various data ecosystems.
Overview of Matillion
G2 Rating: 4.4(77)
Gartner Rating: 4.2(126)
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.
Background and Company Overview
Matillion was founded in 2011 and is a cloud-native data integration and transformation platform. It can be run on major cloud providers like AWS, Google Cloud, and Azure, giving it immense potential to harness raw data into actionable insights.
Key Features and Capabilities
Matillion offers several key features, including:
- Access to 150+ data connectors
- Integrates with AI and machine learning tools for advanced analytics and predictive modeling.
- Features an intuitive, drag-and-drop interface for designing ETL processes.
- It supports significant data destinations such as Snowflake, Redshift, Databricks, and BigQuery.
Comparison Metrics: Fivetran vs. Matillion
| Metric | Fivetran | Matillion | Hevo |
| Platform Focus | ETL/ELT | ELT | ETL/ELT |
| Connectors | 500+ prebuilt non-customizable connectors are available only for structured data sources | 150+ connectors are available | 150+ connectors (with 60+ free sources) |
| Ease of Use | No-code UI Platform | Visual Drag and Drop Interface for Complex Workflows | No-code Intuitive Interface |
| Pricing | Consumption-based pricing with a 14-day free trial. | Credit-based pricing, 14-day free trial + 500 Credits | Event-based pricing with a 14-day free trial option. |
| Ease of Pricing | It is challenging to understand the MAR costing structure. | Understanding how the credits are accounted for for each data ingestion is challenging. | No hidden costs; there is a transparent pricing structure on the website. Easy to understand event-based calculation. |
| SLA Support | Yes | Yes | No |
| Security Certifications | SOC 1 & 2, PCI DSS, ISO 27001, HIPAA, CCPA, GDPR, HITRUST | SOC II Type 2, GDPR & CCPA | GDPR, HIPAA, SOC II Type2 2, CCPA |
| Deployment Options | Hybrid, SaaS, Self-Hosted | Full SaaS, Hybrid Saas | Fully SaaS |
| Support | All Fivetran customers have 24/7 access to a team of technical specialists. | Interact with the team through the Ticketing system and online support features. | Offers live chat support across all plans 24×7 |
| Support for Data Lakes | Yes | Yes | Yes |
| Vendor Lock-In | Yes | Yes | No |
| Platform Demo | Yes | Yes | No |
Head-to-Head Comparison on Matillion vs Fivetran
- Connectors
- Fivetran
- Fivetran offers connectors for more than 500+ data sources. It supports significant data warehouses and databases as destinations.
- Customers can pay an extra amount to build a new data source connector.
- Fivetran’s managed connectors also include Oracle and DB2 HVA, reserved for those with higher-tiered plans.
- Matillion
- Matillion integrates with over 150+ data sources.
- Source connectors feature various SaaS applications, streaming services, cloud storage, and databases.
- Matillion also allows users to develop their connectors using the no-code UI.
- Hevo
- Hevo supports over 150+ connectors (60+ free sources)
- Source connectors can be Relational Databases like MySQL or Non-relational Databases like MongoDB, SaaS applications like Salesforce and HubSpot, Ads Services like Facebook Ads, Google Ads, or Apple Search Ads, and Cloud storage like Google Drive, or Flat files like Google Sheets.
To know more about our integrations, check out our integrations page.
- Pricing
- Fivetran
- Fivetran offers a 14-day Free Trial to its new users
- Fivetran’s pricing is consumption-based, and their model is controlled by monthly active rows (MAR), i.e., a unique number of primary keys moved from source to destination in a month.
- Matillion
- Matillion’s pricing uses credits based on the virtual core (vCore) per hour usage. One credit equals one hour of vCore usage.
- Credits range between $2.00 and $2.70 an hour. This is in addition to the cost of running the servers themselves on your cloud provider (AWS, Azure, or GCP).
- Hevo
- Hevo offers a Free version in which you can load up to 1M events/month.
- You can select your tier based on the number of rows to be ingested, e.g., Starter, which starts at $239/month, or Professional, which starts at $679/month. You can also opt for a customized quote in our Business Critical plan.
Check out our pricing page for more details.
Hevo’s competitive pricing makes it an attractive alternative to Fivetran and Matillion. We ensure you get robust data integration features without breaking the bank.
Don’t just take our word for it – see why Hevo is rated 4.3/5 on G2.
Why Choose Hevo?
- Competitive Pricing: Hevo offers a comprehensive feature set at a lower cost compared to Fivetran and Matillion, maximizing your investment.
- 24/7 Live Chat Support: Benefit from round-the-clock live chat support, ensuring you receive prompt assistance whenever needed, reducing downtime and enhancing productivity.
- Hevo Smart Assist is the prompt, preemptive, and smart assistance built into the product that provides you complete visibility and control over your data while helping you to minimize costs.
Trusted by 2000+ Customers
See why industry leaders, including ThoughtSpot, prefer Hevo for its value and efficiency in data management.
Get Started with Hevo for Free
- Transformations
- Fivetran
- Fivetran uses dbt Core transformations and automates the ETL pipelines, tracking data changes through a fully automated and lossless-managed process.
- You may need to learn SQL, as only some sources support pre-built models.
- Matillion
- By implementing transformation and data integration, Matillion’s users can implement common schema changes, such as format changes, column renaming, and data type conversion.
- Matillion only provides post-load transformation, but you can use their intuitive visual designer to run your custom scripts in dbt, Python, or SQL.
- Hevo
- Hevo supports both Pre and Post-Load Transformations to fit your ETL/ELT requirements.
- Hevo provides Python-based scripts to run your custom transformations, or you can simply use our drag-and-drop interface.
Refer to our Transformation Documentation to know more.
- Deployment Options
- Fivetran
- Hybrid: Fivetran’s Hybrid Deployment model enables organizations to sync data sources using Fivetran while ensuring the data never leaves the cloud’s or on-premises network’s secure perimeter. This architecture grants you complete control over your data’s flow, allowing you to meet specific business needs concerning data security.
- Saas: Fivetran’s SaaS Deployment model offers a fully managed, cloud-based data integration solution. It is designed to connect to various data sources and seamlessly load data into designated destinations, ensuring efficient data management and analytics.
- Self-Hosted: Fivetran’s Self-Hosted Deployment model, HVR, supports database and file management system replication in enterprise environments. Hosted locally, it allows organizations to process data within their infrastructure. This gives organizations complete control over orchestration, configuration, credential management, and code deployment.
- Matillion
- Full SaaS Deployment: In Full SaaS, Matillion manages the entire infrastructure, including agent deployment and security measures. Users benefit from a hassle-free experience, as Matillion ensures seamless updates and robust security protocols.
- Hybrid Saas Deployment: Hybrid SaaS empowers users to deploy and manage their execution agents within their private cloud infrastructure. This option grants users complete control over security measures, network isolation, and access controls.
- Hevo
- SaaS: Hevo is a cloud-based, zero-maintenance, no-code data pipeline platform that supports modern ELT and traditional ETL.
- Customers
- Fivetran
- Technology: okta, Optimizely, zenefits
- Finance: Square, Kiva, Axis Bank
- Education: Cengage, Udacity, University of Colorado
- Matillion
- Technology: CLIQ, Juniper Networks, CISCO
- Finance: Western Union, St James Palace
- Education: Bloomington Public School
- Hevo
- Technology: Voiceflow, Whatfix, Postman
- Finance: ScratchPay, Groww, Ebury
- Education: EdApp, PhysicsWallah
Pros and Cons of Each Tool
Fivetran
| Pros | Cons |
| Fully Managed SaaS Solution: Requires no infrastructure management, automatic updates, and seamless scalability. | Limited Customization: Connectors are non-customizable, which may not suit highly specialized data needs. |
| Extensive Connector Library: Offers over 500 prebuilt connectors, catering to a wide range of structured data sources. | Preload Transformations: Limited capabilities; complex transformations require integration with tools like dbt Core. |
| Automated Schema Management: Automatically adapts to schema changes, reducing maintenance overhead. | |
Matillion
| Pros | Cons |
| Flexible Deployment Options: Offers both SaaS and self-hosted options on major cloud platforms like AWS, GCP, and Azure. | No On-Premises Support: Does not support on-premises deployments, which may be a limitation for some organizations. |
| Integration with AI and ML Tools: Supports advanced analytics and predictive modeling. | Learning Curve: Advanced features and customizations may require a steeper learning curve than straightforward solutions. |
Ideal Scenarios for Using Fivetran vs. Matillion
Fivetran
- It is best for organizations looking for a fully managed, hands-off data integration solution with minimal maintenance. It is ideal for businesses prioritizing ease of use and quick setup over customization.
Matillion
- It is best for organizations requiring complex data transformations and custom workflows. It is ideal for companies that need a flexible deployment model and are looking to leverage cloud computing power.
Why choose Hevo Data over Fivetran or Matillion?
While choosing an ELT tool, both Fivetran and Matillion have some strengths and limitations. Fivetran is excellent at automation but weak in pre-load transformation capabilities and customisation. On the other hand, Matillion’s strengths lie in their powerful transformations with a very flexible platform; however, it is still potentially highly technical and requires a lot of set up.
What sets Hevo Data apart is its friendly interface for no-code and Python-based transformations which makes these complex data workflows quite flexible. Hevo provides real-time integration of data for its access on time. Its user-friendly interface, transparent pricing, and excellent customer support make it an attractive choice for businesses looking for a versatile yet powerful ELT solution.
Load your Data from Source to Destination within minutes
No credit card required
Read more Comparisons-
Conclusion
Choosing the right data integration platform is crucial for any business to streamline its data workflows and derive actionable insights efficiently. Fivetran, Matillion, and Hevo each offer unique features and capabilities tailored to different use cases. Fivetran provides a fully managed SaaS experience with a vast library of prebuilt connectors, making it ideal for organizations seeking simplicity and ease of use. Matillion, with its robust transformation capabilities and flexible deployment options, is well-suited for enterprises with complex data needs and a preference for cloud-native solutions.
However, Hevo offers a comprehensive, real-time, no-code data integration solution that supports many data sources and provides extensive transformation and enrichment capabilities. Its user-friendly interface and cost-effective pricing make it an attractive choice for businesses of all sizes, from startups to large enterprises.
FAQ Fivetran vs Matillion
1. Is Matillion an ETL or ELT Tool?
Matillion mostly acts as an ELT tool. After loading your data, it transforms it inside the cloud data warehouse, leveraging the processing power and scalability provided by cloud platforms like AWS, Google Cloud, or Azure. This path brings efficient data transformations up to scale via the native competencies of cloud data warehouses.
2. Is Fivetran Expensive?
Fivetran may be too expensive, especially for large-scale deployments or firms with high data volume and complexity. While Fivetran claims to have a straightforward pricing model regarding volume against processed data measured in Monthly Active Rows, or MAR, costs rapidly mount up as data needs grow.
3. Is Matillion an iPaas?
Matillion is not typically categorized as iPaaS or an Integration Platform Service. Despite the occasional, or even in a few cases, several functionalities it may share with iPaaS, it is oriented to do precisely what an iPaaS does: integrate and be deployable within the cloud. However, Matillion focuses on integrating and transforming data within cloud data warehouses.
Arun Chaudhary is a Senior Sales Engineer at Hevo Data, bringing over 10 years of expertise in sales engineering and pre-sales consulting. Specializing in solutions engineering and business value creation, Arun excels in building robust business cases and delivering tailored solutions. He is proficient in ETL, ELT, and RPA development with a strong background as a Java developer.
