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Comparing Hevo with Mozart Data and Weld

Carolina Russ
Carolina Russ6 min read
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What is Hevo

Hevo Data has ETL, ELT, and reverse-ETL capabilities, and is code-free with integrations to various tools and data warehouses. For non-technical users who want to get up and running with their data, Hevo can help. That said, experienced data specialists may wish for some more technical depth in the platform, giving them room to do more complex work.

Pros

  • Supports both ELT, ELT, and reserve ELT
  • Plenty of fully maintained connectors
  • Great for non-technical users
  • Simple UI that's easy to work with
  • Affordable pricing

Cons

  • Limited features for more advanced use cases
  • Limited custom scheduling features
  • Only 50 connectors are available on the Free plan
  • Lack of flexibility when wanting to edit pipelines
  • Error messages and status codes could be better

As one reviewer on G2 puts it: :

What I like about Hevo

Hevo is really good for normal pipelines, but it has some limitations for more complex use cases.

What I dislike about Hevo

Read full review

What is Mozart Data

Mozart Data is a managed data stack provider that bundles ETL (using embedded Fivetran/Portable connectors), a fully managed Snowflake warehouse, and dbt-based transformations under one subscription—aiming to get teams from zero to insights in under an hour without coding.

Pros

  • Out-of-the-box Snowflake data warehouse with connectors and dbt transforms in one package.
  • 150+ connectors (via embedded Fivetran + Portable) configured behind the scenes so you don’t manage separate tools.
  • Very fast onboarding—your data stack is live in under an hour without any code.
  • Dedicated customer support and onboarding assistance (Mozart Assist) helps users set up and maintain pipelines.

Cons

  • Pricing includes both warehouse usage and data volume (Monthly Active Rows), so costs rise with scale—often more expensive than self-managed ELT at high volumes.
  • Less flexibility for bespoke connector logic—if a connector is missing, you must submit a request and wait for their team.
  • Smaller community and fewer third-party tutorials compared to standalone tools like Airbyte or dbt.

Mozart Data Reviews (G2):

What I like about Mozart Data

Mozart Data gave us a turnkey stack with Snowflake, connectors, and transformations all configured. We were running dashboards in under a week without DevOps overhead.

What I dislike about Mozart Data

Costs can escalate quickly with high data volumes, and adding niche connectors often requires a request to their team (no self-serve).
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

  • 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.
Read full review

Hevo vs Mozart Data: Ease of Use and User Interface

Hevo

Hevo is designed with non-technical users in mind, offering a simple UI and code-free capabilities, making it easy for beginners to use.

Mozart Data

Mozart Data abstracts away infrastructure: users pick sources via a web UI, configure destinations, and their warehouse and pipelines spin up automatically. Minimal learning curve for non-technical teams.

Hevo vs Mozart Data: Pricing Transparency and Affordability

Hevo

Hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. However, the costs can rise with data volume and feature needs.

Mozart Data

Mozart’s bundled pricing (data volume + warehouse compute) starts at ~$1,000/month for small usage, which can be competitive for teams that value time saved over cost. However, high-volume users may find it pricier than DIY stacks.

Hevo vs Mozart Data: Comprehensive Feature Set

Hevo

Hevo supports ETL, ELT, and reverse-ETL, making it versatile for different data needs. It also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.

Mozart Data

Includes managed Snowflake, automated ETL connectors (via Fivetran + Portable), a dbt transformation layer, and monitoring dashboards. Supports scheduling, incremental loads, and basic orchestrations without separate tools.

Hevo vs Mozart Data: Flexibility and Customization

Hevo

While Hevo is great for non-technical users, it lacks flexibility and customization options for more complex data tasks, making it less suitable for advanced data teams.

Mozart Data

While Mozart Data handles most common use cases seamlessly, it limits custom code in pipelines. Advanced users can still bring their own SQL or dbt models, but building new connectors requires raising a request—no self-serve SDK.

Summary of Hevo vs Mozart Data vs Weld

WeldHevoMozart Data
Connectors200++150+150+
Price€99 / Unlimited usage€299 / 5M rowsStarts around $1,000/mo (includes Snowflake + ETL up to 250k MAR)
Free tierNoYesYes
LocationEUINDIASan Francisco, CA, USA
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesYesNo
TransformationsYesYesYes
AI AssistantYesNoNo
On-PremiseNoNoNo
OrchestrationYesNoYes
LineageYesNoNo
Version controlYesNoNo
Load data to and from ExcelYesNoYes
Load data to and from Google SheetsYesNoYes
Two-Way SyncYesNoNo
dbt Core IntegrationYesYesYes
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesYesNo
G2 Rating4.84.34.6

Conclusion

You’re comparing Hevo, Mozart Data, Weld. Each of these tools has its own strengths:

  • Hevohevo supports etl, elt, and reverse-etl, making it versatile for different data needs. it also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. however, the costs can rise with data volume and feature needs..
  • Mozart Dataincludes managed snowflake, automated etl connectors (via fivetran + portable), a dbt transformation layer, and monitoring dashboards. supports scheduling, incremental loads, and basic orchestrations without separate tools. mozart’s bundled pricing (data volume + warehouse compute) starts at ~$1,000/month for small usage, which can be competitive for teams that value time saved over cost. however, high-volume users may find it pricier than diy stacks. .
  • 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 €99 for 2 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.

Want to try a better alternative? Try Weld for free today.