Comparing Airbyte with Matia and Weld
Carolina Russ6 min read
What is Airbyte
An open-source data integration platform, Airbyte is a popular choice for those building a modern data stack. Airbyte boasts its collection of ELT connectors as well as the ability to build custom ones in the platform, a differentiator from other no-code ELT tools. Because building custom pipelines requires coding knowledge, this special feature will only benefit data specialists with solid coding abilities.
Airbyte is built to work well with DBT and SQL, so this is an important thing to note before deciding to use the tool.
Pros
- Open-source platform
- A really large number of connectors and destinations
- Easy deployment
- Managed cloud option
- Engineering-focused with advanced options to build your own connectors and features
- Has both ELT and Reverse ETL options
- Large community
Cons
- More suited for advanced teams
- Require more maintenance
- The quality of connectors can vary because of open-source
- High dependence on community
In a review from Confessions of a Data Guy, he shares::
What I like about Airbyte
If you don't have workloads that currently use DBT or fit well into that model, this probably isn’t the tool for you.
What I dislike about Airbyte
What is Matia
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)
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.
What I dislike about Matia
What is Weld
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
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
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.
Airbyte vs Matia: Ease of Use and User Interface
Airbyte
Airbyte is an open-source platform that is easier for teams with strong coding skills but may be challenging for those without technical expertise, especially when building custom connectors.
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.
Airbyte vs Matia: Pricing Transparency and Affordability
Airbyte
Airbyte offers a flexible pricing model based on credits, but costs can add up depending on data volume, making it more suitable for teams that can optimize their usage.
Matia
Pricing is by custom quote, but early users report good value for replacing multiple point tools. A free trial is available for evaluation.
Airbyte vs Matia: Comprehensive Feature Set
Airbyte
The platform supports a large number of connectors and destinations and is designed to work well with DBT and SQL, providing robust options for teams building a modern data stack.
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.
Airbyte vs Matia: Flexibility and Customization
Airbyte
Airbyte's open-source nature and customization options make it highly flexible for teams with the capability to maintain and build on the platform, but this flexibility comes with a higher maintenance burden.
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.
Summary of Airbyte vs Matia vs Weld
| Weld | Airbyte | Matia | |
|---|---|---|---|
| Connectors | 200++ | 350+ | 200+ |
| Price | $99 / Unlimited usage | $2.50/credit (one million rows = 6 credits; 1 GB = 4 credits) | Custom, unified platform license |
| Free tier | No | Yes | No |
| Location | EU | US | US |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | Yes |
| Transformations | Yes | No | Yes |
| AI Assistant | Yes | No | No |
| On-Premise | No | Yes | No |
| Orchestration | Yes | No | Yes |
| Lineage | Yes | No | Yes |
| Version control | Yes | No | No |
| Load data to and from Excel | Yes | No | No |
| Load data to and from Google Sheets | Yes | No | No |
| Two-Way Sync | Yes | No | Yes |
| dbt Core Integration | Yes | Yes | No |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | Yes | No |
| G2 Rating | 4.8 | 4.2 | 4.9 |
Conclusion
You’re comparing Airbyte, Matia, Weld. Each of these tools has its own strengths:
- Airbyte: the platform supports a large number of connectors and destinations and is designed to work well with dbt and sql, providing robust options for teams building a modern data stack.. airbyte offers a flexible pricing model based on credits, but costs can add up depending on data volume, making it more suitable for teams that can optimize their usage..
- 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.. pricing is by custom quote, but early users report good value for replacing multiple point tools. a free trial is available for evaluation..
- 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.. weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..
