Comparing Matia with Rivery and Weld

You’re comparing Matia vs Rivery vs Weld. Explore how they differ on connectors, pricing, and features.

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Weld vs Matia vs Rivery

	Weld	Matia	Rivery
Connectors	200+	200+	200+
Price	$99 / 5M Active Rows	Custom, unified platform license	$0.75 per credit *100MB of data replication
Free tier
Location	EU	US	US
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from Excel
Load to/from Google Sheets
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating	4.8	4.9	4.7

Overview

Matia in Short

Matia is a unified DataOps platform combining ETL/ELT, reverse ETL, data observability, and data catalog features in a single cloud-native solution. It aims to reduce “tool sprawl” by offering ingestion, monitoring, and activation in one interface, with rapid connector development based on customer requests.

Pros

Unified platform: ETL/ELT, reverse ETL, observability, and catalog in one solution
Hundreds of connectors available, with rapid on-demand connector development
Built-in data observability to detect anomalies, schema changes, and pipeline health
Data catalog for metadata management and discovery integrated natively
Strong, responsive customer support and quick feature rollout

Cons

Newer startup—features still maturing compared to incumbents
Cloud-only SaaS (no on-prem option)
Limited third-party tutorials or community resources due to early stage
Pricing not publicly transparent; requires custom negotiation
All-in-one approach may lack depth of specialized tools in certain areas (advanced catalog features, for example)

Reviews & Quotes

Matia Homepage:

What I like about Matia

“Matia unifies ETL, observability, catalog, and reverse ETL so teams can focus on driving actionable insights and accelerating innovation.”

Read full review

Overview

Rivery in Short

Rivery is a SaaS-based ELT data integration platform designed to simplify the process of loading data from a wide variety of sources, including custom API-based platforms, into your preferred data warehouse. Although Rivery does not support real-time, on-the-fly data transformations during the loading process, it compensates with powerful post-load transformation capabilities. This allows users to clean, shape, and enrich their data after it has been ingested, ensuring the data is ready for analysis. Rivery’s user-friendly interface and automation features make it a strong option for teams looking to streamline their data workflows without heavy coding.

Pros

Supports custom integrations though native GUI
Has reverse ETL option
Supports Python
Has data transformation capabilities
Great customer support

Cons

Lack of advanced error handling features
Cannot transform data on the fly (ETL)
Complex pricing model
UI is lacking when working with larger complex pipelines
Product documentation is lacking

Reviews & Quotes

As a user on G2 puts it::

What I like about Rivery

“As a data analyst, I find the tool really easy to use; it's intuitive how you connect to the different data sources and create your data pipelines.”

What I dislike about Rivery

“For first-time users, it would be good to have some demo buttons; still, if you are familiar with terms, you'll manage to navigate between windows.”

Read full review

Overview

Weld in Short

Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.

Pros

Lineage, orchestration, and workflow features
Ability to handle large datasets and near real-time data sync
ETL + reverse ETL in one
User-friendly and easy to set up
Flat monthly pricing model
200+ connectors (Shopify, HubSpot, etc.)
AI assistant

Cons

Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

“First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.”

What I dislike about Weld

“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”

Read full review

Feature-by-Feature Comparison

Matia

Rivery

Weld

Feature

Matia

Rivery

Weld

Ease of Use & Interface

Side-by-side

Matia

Matia’s UI integrates ingestion, observability, and cataloging in a cohesive web interface, making setup straightforward for small teams. Users praise its modern design and low learning curve.

Rivery

Rivery is known for its ease of use, especially for data analysts who need to connect different data sources and create pipelines quickly. Its intuitive GUI makes setup straightforward.

Weld

Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.

Ease of Use & Interface

Side-by-side

Matia’s UI integrates ingestion, observability, and cataloging in a cohesive web interface, making setup straightforward for small teams. Users praise its modern design and low learning curve.

Rivery is known for its ease of use, especially for data analysts who need to connect different data sources and create pipelines quickly. Its intuitive GUI makes setup straightforward.

Pricing & Affordability

Side-by-side

Matia

Pricing is by custom quote, but early users report good value for replacing multiple point tools. A free trial is available for evaluation.

Rivery

Rivery's pricing is complex and based on credits, which may not be straightforward for all users. Costs can rise significantly with increased data usage.

Weld

Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.

Pricing & Affordability

Side-by-side

Pricing is by custom quote, but early users report good value for replacing multiple point tools. A free trial is available for evaluation.

Rivery's pricing is complex and based on credits, which may not be straightforward for all users. Costs can rise significantly with increased data usage.

Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.

Feature Set

Side-by-side

Matia

Comprehensive feature set: ETL/ELT, real-time CDC ingestion, reverse ETL, data observability (anomaly detection, schema drift), data catalog with lineage, and orchestration. It covers end-to-end data ops from ingestion to activation.

Rivery

The platform supports custom integrations, Python scripting, and reverse ETL, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.

Weld

Weld integrates ELT, data transformations, and reverse ETL all within one platform. It also provides advanced features such as data lineage, orchestration, workflow management, and an AI assistant, which helps in automating repetitive tasks and optimizing workflows.

Feature Set

Side-by-side

The platform supports custom integrations, Python scripting, and reverse ETL, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.

Flexibility & Customization

Side-by-side

Matia

While offering rich built-in modules, Matia allows custom connectors on demand and configurable data quality rules. It abstracts infrastructure management, trading some low-level control for rapid deployment and ease of use.

Rivery

Rivery offers flexibility in custom integrations and supports post-load transformations, but its user interface may lack robustness for managing larger, more complex pipelines.

Weld

Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.

Flexibility & Customization

Side-by-side

Rivery offers flexibility in custom integrations and supports post-load transformations, but its user interface may lack robustness for managing larger, more complex pipelines.