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Comparing Dataddo with Matia and Weld

Carolina Russ
Carolina Russ6 min read
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What is Dataddo

Dataddo is a fully managed, no-code data integration platform designed for business users, marketers, and analysts who need quick access to data without engineering support. It supports over 300 prebuilt connectors to cloud apps, databases, and BI tools, and offers flexible data flows for ETL, ELT, reverse ETL, and dashboard integrations. If a specific connector isn’t available, Dataddo will build it on request. The platform emphasizes ease of use, with automated handling of API changes, built-in pipeline monitoring, and a “SmartCache” feature that temporarily stores historical data, allowing teams to run reports without immediately setting up a data warehouse. With support for secure data practices (SOC 2, ISO 27001, GDPR compliance) and simple, transparent pricing plans, including a free tier, Dataddo is ideal for organizations looking to centralize data quickly and with minimal overhead.

Pros

  • No-code interface makes setup simple for non-technical users.
  • Integrates with 300+ platforms, including many marketing and CRM tools.
  • Onboarding and connector requests are generally well-handled.
  • Offers competitive pricing, especially for small teams.

Cons

  • Some users report delays for complex issues.
  • New or niche sources may not be instantly available.
  • Cancelling or modifying plans can be frustrating.

G2 Review:

What I like about Dataddo

It is so user friendly and doesnt have any learning curve. Any user can really understand and create their own custom flows without any external support

What I dislike about Dataddo

If a flow is created, Dataddo needs to introduce how to add more features in the flow (maybe edit columns or add/remove them instead of creating and replacing with a net new flow).
Read full review

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

Read full review

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

  • 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

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

Ease of Use & Interface

Dataddo

Dataddo offers a clean, intuitive no-code interface that allows users to set up data flows quickly. The drag-and-drop flow builder and prebuilt connectors minimize the learning curve, making it accessible for non-technical users.

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.

Pricing & Affordability

Dataddo

Pricing is straightforward and competitive, with plans starting at $99/month for three data flows. The free tier allows users to test the platform with limited functionality before committing to a paid plan.

Matia

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

Feature Set

Dataddo

Dataddo supports over 300 connectors, ETL/ELT workflows, reverse ETL capabilities, data transformations, and built-in monitoring.

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.

Flexibility & Customization

Dataddo

While Dataddo is primarily designed for ease of use, it still offers flexibility through its wide range of connectors and the ability to create custom data flows. However, it may not provide the same level of customization as more technical platforms.

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 Dataddo vs Matia vs Weld

WeldDataddoMatia
Connectors200+398+200+
Price$79 / 5M Active Rows$99.00 / mo for 3 data flows to sync data between any source and destinationCustom, unified platform license
Free tierNoYesNo
LocationEUUS/EUUS
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesYesYes
TransformationsYesYesYes
AI AssistantYesNoNo
On-PremiseNoNoNo
OrchestrationYesYesYes
LineageYesYesYes
Version controlYesNoNo
Load data to and from ExcelYesNoNo
Load data to and from Google SheetsYesYesNo
Two-Way SyncYesYesYes
dbt Core IntegrationYesNoNo
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesNoNo
G2 Rating4.84.74.9

Conclusion

You’re comparing Dataddo, Matia, Weld. Each of these tools has its own strengths:

  • Dataddodataddo supports over 300 connectors, etl/elt workflows, reverse etl capabilities, data transformations, and built-in monitoring. pricing is straightforward and competitive, with plans starting at $99/month for three data flows. the free tier allows users to test the platform with limited functionality before committing to a paid plan..
  • Matiacomprehensive 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..
  • Weldweld 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 $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..
Review the detailed sections above—connectors, pricing, feature set, and integrations—and choose the one that best matches your technical expertise, budget, and use cases.

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