🚀 New: Free Fivetran migration!

Learn more
Weld logo

Comparing Etlworks Integrator with Mozart Data and Weld

Carolina Russ
Carolina Russ6 min read
weld logo
VS
mozart logo
VS
etlworks logo

What is Etlworks Integrator

Etlworks Integrator is a cloud-based ETL platform that provides over 300 connectors (databases, SaaS, files, big data) and a visual interface to build complex data flows. It can run both batch and streaming pipelines, support transformations via SQL or JavaScript, and integrate with Kafka, Snowflake, Redshift, Google BigQuery, and more. It also offers features for data replication, CDC, and workflow orchestration.

Pros

  • 300+ connectors for databases, cloud storage, SaaS apps, and streaming platforms.
  • Supports both batch and streaming (CDC) with configurable schedules and triggers.
  • Transformations via SQL, JavaScript, or built-in functions; data validation and error-handling features.
  • Cloud-based with on-prem runtime options for connecting to internal resources securely.

Cons

  • UI complexity: designing flows with many steps can be difficult to navigate.
  • Subscription is credit-based (e.g., $0.10/credit), making cost estimation tricky for variable workloads.
  • Less brand recognition and community support compared to leading ETL tools.

Etlworks Integrator Features:

What I like about Etlworks Integrator

Etlworks Integrator’s breadth of connectors and flexible transformation engine (SQL/JavaScript) let us integrate data from dozens of sources quickly.

What I dislike about Etlworks Integrator

The UI can be overwhelming for beginners, and pricing (credit-based) can be hard to predict for varying workloads.
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

Etlworks Integrator vs Mozart Data: Ease of Use and User Interface

Etlworks Integrator

Etlworks Integrator’s Flow Designer uses a canvas with source, transformation, and destination steps. While powerful and flexible, the interface has a steep learning curve; nested steps and branching can become difficult to visualize.

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.

Etlworks Integrator vs Mozart Data: Pricing Transparency and Affordability

Etlworks Integrator

Charges are based on credits consumed by data volume and transformations. Free trial provides limited credits. For predictable workloads, budget forecasting requires careful usage analysis.

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.

Etlworks Integrator vs Mozart Data: Comprehensive Feature Set

Etlworks Integrator

Features include: 300+ connectors, CDC replication, batch/streaming pipelines, SQL/JavaScript transformations, error handling, scheduling, and secure on-prem gateways. Also supports webhooks and REST API triggers.

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.

Etlworks Integrator vs Mozart Data: Flexibility and Customization

Etlworks Integrator

Supports embedding custom JavaScript or calling external services within pipelines. Can deploy integration nodes on-premise to access internal networks. Pipelines can be exported/imported for version control.

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 Etlworks Integrator vs Mozart Data vs Weld

WeldEtlworks IntegratorMozart Data
Connectors200++300+150+
Price€99 / Unlimited usageCredit-based (e.g., $0.10/credit; volume discounts available)Starts around $1,000/mo (includes Snowflake + ETL up to 250k MAR)
Free tierNoYesYes
LocationEUPittsburgh, PA, USASan Francisco, CA, USA
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesNoNo
TransformationsYesYesYes
AI AssistantYesNoNo
On-PremiseNoYesNo
OrchestrationYesYesYes
LineageYesNoNo
Version controlYesNoNo
Load data to and from ExcelYesYesYes
Load data to and from Google SheetsYesYesYes
Two-Way SyncYesNoNo
dbt Core IntegrationYesNoYes
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesYesNo
G2 Rating4.84.54.6

Conclusion

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

  • Etlworks Integratorfeatures include: 300+ connectors, cdc replication, batch/streaming pipelines, sql/javascript transformations, error handling, scheduling, and secure on-prem gateways. also supports webhooks and rest api triggers. charges are based on credits consumed by data volume and transformations. free trial provides limited credits. for predictable workloads, budget forecasting requires careful usage analysis. .
  • 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.