Comparing Matia with Stitch and Weld
Carolina Russ5 min read
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 Stitch
Acquired by Talend in 2018, Stitch Data is a cloud open-source and developer-focused ELT platform that offers no-code connectors to bring data into your warehouse. Stitch offers compatibility with a broad range of data sources and destinations. It also enables customers to construct new sources based on Singer's standards, an open-source toolkit designed for scriptwriting.
Pros
- Easy to setup and use
- A cost-friendly pricing model that's easy to understand and based on usage
- Integrates with Talend
- Includes transformations with JSON
- Fully managed no-code ELT data pipelines
Cons
- Require deep technical knowledge to get full value out of the platform
- The quality can vary a lot between different connectors as they are not maintained by Stitch
- Depends on the Singer open source framework which can break without notice
A reviewer on Gartner said::
What I like about Stitch
Stitch is an affordable tool for bringing data "as is" from the various data sources (Google Ads, Salesforce or even MySQL) to a data warehouse (Redshift, Snowflake, BigQuery, etc.)
What I dislike about Stitch
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.
Matia vs Stitch: Ease of Use and User Interface
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.
Stitch
Stitch is relatively easy to set up and use, offering no-code connectors and an affordable pricing model, but users may need deep technical knowledge to leverage its full potential.
Matia vs Stitch: Pricing Transparency and Affordability
Matia
Pricing is by custom quote, but early users report good value for replacing multiple point tools. A free trial is available for evaluation.
Stitch
Stitch's pricing model is cost-friendly and based on usage, making it accessible for many users. However, costs can increase if data volumes grow significantly.
Matia vs Stitch: Comprehensive Feature Set
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.
Stitch
Stitch offers fully managed no-code ELT data pipelines and integrates with Talend, but relies heavily on the Singer open-source framework, which can be less stable.
Matia vs Stitch: Flexibility and Customization
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.
Stitch
Stitch is designed for simplicity and ease of use, but customization is limited and dependent on the capabilities of the open-source Singer framework.
Summary of Matia vs Stitch vs Weld
| Weld | Matia | Stitch | |
|---|---|---|---|
| Connectors | 200++ | 200+ | 140+ |
| Price | €99 / Unlimited usage | Custom, unified platform license | €100 / 5M rows |
| Free tier | No | No | Yes |
| Location | EU | US | US |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | No |
| Transformations | Yes | Yes | Yes |
| AI Assistant | Yes | No | No |
| On-Premise | No | No | No |
| Orchestration | Yes | Yes | No |
| Lineage | Yes | Yes | No |
| 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 | Yes | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | No | Yes |
| G2 Rating | 4.8 | 4.9 | 4.5 |
Conclusion
You’re comparing Matia, Stitch, Weld. Each of these tools has its own strengths:
- 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..
- Stitch: stitch offers fully managed no-code elt data pipelines and integrates with talend, but relies heavily on the singer open-source framework, which can be less stable.. stitch's pricing model is cost-friendly and based on usage, making it accessible for many users. however, costs can increase if data volumes grow significantly..
- 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..
