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Comparing Hevo with Weld

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5 stars
Rated 5 stars on G2
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VS
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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 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 Weld: 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.

Weld

Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.

Hevo vs Weld: 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.

Weld

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.

Hevo vs Weld: 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.

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.

Hevo vs Weld: 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.

Weld

Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.

Summary of Hevo vs Weld

WeldHevo
Connectors150+150+
Price$99 / 2 connectors$299 / 5M rows
Free tierNoYes
Extract data (ETL)YesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesYes
Version controlYesNo
OrchestrationYesNo
LineageYesNo
AI AssistantYesNo
Load data to and from ExcelYesNo
Load data to and from Google SheetsYesNo
Two-Way SyncYesNo
G2 Rating4.84.3

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Reliability and quality

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The greatest impact Weld has had so far is to bring all of our data to light and to unify it in one central location. What interested me personally in Weld was the offering of a tool that brought all of your data together in a single and easy to use platform that required no data engineering.
Guy Longton, Head of Revenue Operations
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Weld seemlessly integrates with most commercial data platform, as well as standard ecommerce platforms such as shopify and klaviyo. I've been using it for just under a year and I truly love it! Also, super helpful support staff that get to your questions and comments quickly and efficiently!
Benni B., Machine Learning Engineer
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The effortless process of connecting to and from various data sources, that allows us to serve the whole organization from Engineering/Product (e.g. Postgres) to Operations (e.g. Salesforce) with enriched data. The communication with Weld's support has always been easy and resolution time is fast, which is key for our business that relies heavily on having clean and up to date data.
Stephane D, Lead Data Scientist
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