Matillion vs. Talend

Matillion and Talend are two common ETL / ELT solutions.
Compare features, pricing, support, and more.

Matillion vs. Talend – Overview

About Matillion

Matillion was founded in 2011 with headquarters in Denver (US) and Manchester (UK). Their low-code, click-and-drag solution is known for its advanced transformation capabilities. It’s a self-hosted tool, which makes it a good candidate for on-premise deployments, but it’s up to you to manage the infrastructure running Matillion.

Matillion can be a powerful tool for larger data teams, however, given that it’s not fully managed, you’ll have to perform error logging, server maintenance, software upgrades, API upgrades, etc.

The benefit is that you can deliver data at an unlimited scale with little to no errors on Matillion’s part. Either way, Matillion will log any error in the Server Logs from where you can troubleshoot recurring problems.

About Talend

Talend is a Java code-based data management tool with a workflow user interface. The company was founded in 2005 and is headquartered in Redwood City, California. Talend is typically leveraged as an enterprise tool with a suite of data management solutions.

Talend charges users per seat, which is a key consideration for growing data teams looking to scale. While Talend offers 1,000+ non-native connectors, their fully-coded, open-source approach comes with a steep learning curve for users who aren’t familiar with their interface.

Luckily, the Talend team has a comprehensive walkthrough of Talend Studio for data integration you can use to get started with this premium ETL tool.

About Rivery

Rivery was founded in 2018 from an internal tool at one of the world’s largest data consulting firms. The company is headquartered in New York City with offices in Tel Aviv, London, and Austin. Rivery is a fully-managed SaaS platform, which provides a unified solution for data ingestion, transformation, and workflow orchestration.

The biggest differentiator is the completeness of Rivery’s offering, combining the ease-of-use of a no-code SaaS with the power and flexibility of a custom-coded solution.

Users can choose from a three-tiered pricing model with key features like extra Environments, multiple user access, and built-in workflow orchestration. Finally, you can make great use of the data workflow templates, which show you exactly how to retrieve data from various connecting apps and tools.

Below, we’ll explore the Matillion vs. Talend vs. Rivery features and help you decide the right ETL tool for you:

Matillion vs. Talend – Features

ETL / ELT Tool


Based on server hours

$12k/user/year or $1170/user/year with unlimited usage

Based on executions and data size

Cloud native and fully managed




Native connectors


1,000+ (non-native)


Connect to any API source




Built-in workflow orchestration




Python support




Reverse ETL




G2 Rank

4.4 / 5.0

4.3 / 5.0

4.8 / 5.0

Matillion vs. Talend – Product


Matillion provides two products: Matillion ETL, which is their full-featured ETL offering as well as Matillion Data Loader, which is a lighter weight offering.

Matillion supports 100+ data connectors and users can make new connector requests, but new connectors can only be built exclusively by the Matillion team. In terms of targets/destinations, Matillion Data Loader supports Amazon Redshift, Snowflake, Google BigQuery, and Delta Lake on Databricks for batch pipelines. In addition, Data Loader supports Amazon S3 and Azure Blob, but only for CDC pipelines.


Talend’s solutions include everything from data ingestion and data validation to complex data orchestration and testing APIs for data output. You must download the Talend application onto your desktop in order to perform most processes.

Talend’s products include:

Talend Cloud Data Integration and Talend Cloud Pipeline (included in Talend Cloud)

Talend Cloud Data Integration and Cloud Pipeline function as part of their web application, which doesn’t require the application server to be self hosted, but it’s mainly considered a workflow orchestration tool. Jobs must still be built on their associated desktop tool and then uploaded to the web application for scheduling.

Talend Data Fabric (includes Talend Cloud Pipeline)

Talend Data Fabric is Talend’s fully-featured solution, where users must host everything from the application server to the desktop software. The solution comes with a host of functions, including certain AI/ML capabilities, data ingestion, and more.


Rivery’s SaaS offering provides several data stack products in a single platform. This includes ELT (data ingestion) with over 200+ fully managed connectors, advanced workflow orchestration, data operations (full support for the development lifecycle), reverse ETL (data activation), and full Python support.

Matillion vs. Talend – Pricing


Matillion’s pricing uses credits and is based on virtual core (vCore) per hour usage. One credit = 1 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).


Talend Cloud is $12k/user/year or $1170/user/year with unlimited usage. Talend Data Fabric offers custom pricing, which is typically more expensive than their Talend Cloud offering.


Rivery provides both, on-demand pay-as-you-go pricing, and annual contracts. Both pay-as-you-go and annual pricing are available for all plans.

Pricing is based on a credit system, which starts at $0.75 per credit. Database source pricing is based on total volume of data transferred. App and API-source pricing is based on the number of pipeline executions.

Rivery doesn’t charge by the number of databases or tables you’re loading into your data warehouse, nor does it charge by the number of rows or sync frequency.

All Rivery pricing plans include:

Access to all 200+ fully-managed connectors
Unlimited users
Runtime environments
Reverse ETL
Change Data Capture

Learn more about Rivery pricing on Rivery’s pricing page or click here to learn more about Rivery’s approach to pricing.



Matillion provides support through an online ticketing system. They do not provide any training services as part of their support offerings.

Matillion’s G2 user rating for quality of support is 8.1/10 with an industry average of 8.5/10 for ETL tools on G2.


Talend offers support through their documentation, Talend community, as well as through an online ticketing system.

Talend’s Data Integration G2 user rating for quality of support is 7.1/10 with an industry average of 8.6/10 for on-premise data integration tools on G2.


Rivery offers 24/7 global support as well as onboarding services and dedicated customer success services, which vary by plan. Support is engineering led and year over year, Rivery has been awarded “Easiest to do Business with” by G2 in the category of ETL tools.

Rivery’s G2 user rating for quality of support is 9.9/10, the highest in its category with an industry average of 8.5/10 for ETL tools on G2.

Data Connectors: Matillion vs. Talend


Matillion has a selection of over 150 data connectors, which you can filter according to use. You can collect data from productivity tools like your e-mail, social media platforms, e-commerce sites, ERP software, and much more. If you cannot find the connector you need, you can request that the Matillion team build a connector for you or build one yourself to connect to any REST API source system.


Talend significantly outshines Matillion in terms of the number of connectors. The ETL tool offers integration of over 1,000 data connectors, including databases, cloud file systems, business apps, web services, and messaging apps.

Users can build their own connectors using the Talend Component Kit framework and afterward load them in the Talend Cloud Pipeline Designer. You have the ability to create both source and destination connectors according to your use case.


Finally, Rivery offers 200+ native connectors you can integrate with any source for databases, marketing, finance and accounting, analytics, business operations, and more. The connectors grant full control to the user regarding what data is extracted and how often it’s synced.

When using database integrations, you can extract data via CDC database replication and Standard SQL extraction—whichever works best for you. Because each method has its pros, Rivery lets you combine both for the best data accuracy.

CDC: Matillion vs. Talend


Let’s see how Matillion vs. Talend and Rivery differentiate in their Change Data Capture method.

Matillion pairs CDC with its ETL capabilities for analytics-ready data within minutes. You can track data changes as they’re made using log-based data capture and replicate them as needed. This is the best option for users looking to maximize the data extraction processes, reduce downtime, and avoid resource consumption.


Talend also employs CDC for real-time data replication, which supports unidirectional, bi-directional, and broadcast models. Large businesses with substantial data coming in from different sources can easily store all the essential info in one database and get insights in real time. And this is all done using the minimum amount of code possible.


Rivery’s CDC solution offers stability and flexibility, I/O support, and multiple-channel compatibility. This means minimal delays when switching between connectors, which means data extraction will take significantly less time. Thanks to the centralized management, you’ll be able to bring in data from various source types without overburdening the system.

Looking for a reliable ETL tool to manage data on the cloud? Get started with Rivery for free.

Matillion vs. Talend – Summary


Matillion ETL is basically sold as software, and is not a SaaS offering. This is suitable for organizations that require running all of their data pipelines on their own servers, and if they have the resources to manage the servers software upgrades.

If you have a large data team, conduct on-premise deployments, and are looking for advanced transformation capabilities, Matillion may be for you, as long as you keep in mind that you’ll be responsible for managing the infrastructure running Matillion, which can make it difficult to scale.

Key benefits when evaluating Matillion include:

  • Matillion licenses are relatively cheap and their compute runtime is based on cloud computing price.
  • Strong transformation capabilities

Limitations of Matillion include: 

  • Host infrastructure management needs to be handled as your data pipelines grow.
  • Cannot handle incremental updates automatically
  • Database supportability


Talend is worth considering for large, enterprise teams, supported by seasoned Java developers. The tool offers a suite of data management solutions for different use cases, but pricing remains a key consideration with per seat pricing and infrastructure overhead costs.

Key benefits when evaluating Talend include:

  • Robust data orchestration capabilities
  • Some AI/ML capabilities, allowing data scientists to model data
  • Data governance
  • Big data streaming
  • The ability to treat sources as destinations 

Limitations of Talend include: 

  • Desktop design reliance 
  • Infrastructure overhead 
  • Complex configuration and workflow creation 
  • Non-native connectors 

Schema Changes: Matillion vs. Talend


Matillion enables users to make schema changes to their data during the data integration and transformation process. Common schema changes include column renaming, data type conversion, format alterations, and more. You can use Matillion’s SQL scripts to define the schema changes you need and then schedule and orchestrate the ETL process as required.


With Talend, you can load a schema from the repository or export it into a file. Any changes you make to the metadata will be reflected in the schema. This may include hierarchical data handling and the joining and merging of data based on a set of common criteria.


Rivery allows you to connect to various data sources, such as databases (SQL, NoSQL), APIs, cloud storage, and more. From here, you can define the schema structure according to the source you’ve extracted data from. You can perform field-level mapping to specify how data from the source should be transformed and loaded into the destination.

Architecture: Matillion vs. Talend


Matillion leverages cloud infrastructure for scalability and flexibility and can support any kind of data architecture. You can choose from one, two, and three-tier data architecture depending on your preferred level of automation. Finally, by employing circular data architecture, you can avoid making the data warehouse the final destination and deploy the data elsewhere if needed.


The Talend Cloud architecture is divided into two main parts: the local network and the cloud infrastructure. The local network involves the Talend Studio, a web browser, and a Remote Engine or a Remote Engine Gen2. The cloud infrastructure features cloud applications and the Cloud Engines, making it possible for admins to delegate tasks, set access restrictions, and access license information.


Rivery is built on a multitenant architecture, meaning that each client has a separate database invisible to the other clients. The Tenant ID serves as a unique identifier for each customer in order to grant access to data according to their role. Finally, clients can import and export data per their access and privileges in a separate data warehouse.

Deployment Options: Matillion vs. Talend


When using Matillion, you can choose between SaaS and self-hosted deployment. The former provides ease of access through a web browser, which means you get automatic updates. For the latter, you can use cloud platforms like AWS, Azure, and Google Cloud and gain more control over your projects and enhance security.


Talend offers multiple ways to publish your project on their cloud, artifact repositories (Nexus, Artifactory), or Docker. You can use two main tools for deployment—Azure DevOps and Jenkins. You may also opt for a third-party integration tool, but Talend cannot guarantee its effectiveness.

If you need someone to guide you through the deployment process, Talend’’s Academy will walk you through step by step.


Rivery is SaaS-based and runs exclusively on AWS. It refers to the software you want to deploy as a Deployment Package made up of Rivers, Connections, Variables, and River Groups. You can tweak and modify the software according to your needs and revert it to its original state if needed. Mind that you can only do this if you’re an Admin.

Matillion vs. Talend vs. Rivery

When it comes to the Matillion vs. Talend debate, it’s important to note that Talend has a rather steep learning curve, which gives Matillion an advantage among beginners in ETL tools. Matillion is also convenient for businesses of all sizes, whereas Talend puts more focus on its enterprise users with large corporations and heavy data.

Besides Matillion and Talend, Rivery is another ETL tool suitable for users looking for a complete data ingestion framework that can be paired with any source. Providing a relatively flat learning curve and customization for dozens of use cases, it’s a preferred choice among businesses of various sizes.

Ease-of-Use & Collaboration Comparison Table

Feature CriteriaMatillionTalendRivery
User InterfaceGraphical UIGraphical UIGraphical UI
Version ControlYesYesYes
Role-Based Access ControlYesYesYes
Diversity of Use CasesYesYesYes

Need help setting up your ETL tool budget? Use Rivery’s pricing estimator for your use case.

Matillion vs. Talend – A Third Choice

Looking for alternatives? A third choice to consider is Rivery.

Rivery’s fully managed SaaS offering addresses the entire data flow journey and development lifecycle by providing a unified, cloud-native solution for both technical and non-technical users.

This offering includes ELT (data ingestion) with over 200+ fully managed connectors, advanced workflow orchestration and scheduling, data operations, reverse ETL (data activation), and full Python support.

Rivery provides global support, onboarding services, and dedicated customer success services, which vary by plan. Rivery’s G2 user rating for quality of support is 9.9/10, the highest in its category with an industry average of 8.5/10 for ETL tools on G2.

Rivery pricing includes pay-as-you-go and annual contracts, both of which are available for all plans. Pricing is based on a credit system, which starts at $0.75 per credit. Rivery doesn’t charge by the number of databases or tables you’re loading into your data warehouse, nor does it charge by the number of rows or sync frequency.

When evaluating Rivery in comparison to other ETL/ELT tools, the biggest differentiator of Rivery is the completeness of its offering, combining the ease-of-use of a no-code SaaS with the power and flexibility of a custom-coded solution.

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