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Comparing Rivery with Supermetrics and Weld

You’re comparing Rivery vs Supermetrics vs Weld. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Rivery vs Supermetrics

WeldRiverySupermetrics
Connectors200+200+128+
Price$99 / 5M Active Rows$0.75 per credit *100MB of data replicationstarts at $29 / month - 3 data sources - 1 user
Free tier
LocationEUUSFI
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from Excel
Load to/from Google Sheets
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating4.84.74.4

Overview

Rivery in Short

Rivery is a SaaS-based ELT data integration platform designed to simplify the process of loading data from a wide variety of sources, including custom API-based platforms, into your preferred data warehouse. Although Rivery does not support real-time, on-the-fly data transformations during the loading process, it compensates with powerful post-load transformation capabilities. This allows users to clean, shape, and enrich their data after it has been ingested, ensuring the data is ready for analysis. Rivery’s user-friendly interface and automation features make it a strong option for teams looking to streamline their data workflows without heavy coding.

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Pros

  • Supports custom integrations though native GUI

  • Has reverse ETL option

  • Supports Python

  • Has data transformation capabilities

  • Great customer support

Cons

  • Lack of advanced error handling features

  • Cannot transform data on the fly (ETL)

  • Complex pricing model

  • UI is lacking when working with larger complex pipelines

  • Product documentation is lacking

Reviews & Quotes

As a user on G2 puts it::

What I like about Rivery

As a data analyst, I find the tool really easy to use; it's intuitive how you connect to the different data sources and create your data pipelines.

What I dislike about Rivery

For first-time users, it would be good to have some demo buttons; still, if you are familiar with terms, you'll manage to navigate between windows.

Overview

Supermetrics in Short

Supermetrics is a powerful data integration tool that's particularly popular among marketers. It allows you to fetch data from various marketing platforms, such as Google Ads, Facebook Ads, and Google Analytics, and then transfer it into a data warehouse, spreadsheet, or BI tools like Looker, Google Data Studio, or PowerBI. The automation it provides saves time and reduces the chance of errors that come with manual data transfers.

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Pros

  • Easy to use

  • Pre-built reports

  • Google Sheets destination

  • Flexibility in data storage and visualization options

Cons

  • Complex pricing model

  • Expensive

  • Limited data transformation capabilities

  • Slow data refresh rates

  • Can be glitchy

  • Not suitable for very large datasets

Reviews & Quotes

A reviewer on G2:

What I like about Supermetrics

Supermetrics is so easy to use, and the user interface for Google Sheets is intuitive and fast. There is a huge number of connectors available. I liked the scheduling options in my legacy plan, with hourly refreshes available. The customer support is premium and fast.

What I dislike about Supermetrics

There is a limited set of connectors available in the less expensive pricing plans, and the pricing has increased significantly over the years.

Overview

Weld in Short

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.

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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

Reviews & Quotes

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.

Feature-by-Feature Comparison

Feature
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Rivery

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Supermetrics

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Weld

Ease of Use & Interface

Side-by-side

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Rivery

Rivery is known for its ease of use, especially for data analysts who need to connect different data sources and create pipelines quickly. Its intuitive GUI makes setup straightforward.

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Supermetrics

Supermetrics is easy to use, especially for marketers who need to fetch data quickly from various platforms and transfer it to spreadsheets or BI tools.

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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.

Pricing & Affordability

Side-by-side

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Rivery

Rivery's pricing is complex and based on credits, which may not be straightforward for all users. Costs can rise significantly with increased data usage.

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Supermetrics

The pricing model for Supermetrics can be complex and expensive, which might be a concern for small businesses or those with limited budgets.

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Weld

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.

Feature Set

Side-by-side

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Rivery

The platform supports custom integrations, Python scripting, and reverse ETL, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.

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Supermetrics

Supermetrics offers pre-built reports and flexibility in data storage and visualization, but has limited data transformation capabilities and may have slow data refresh rates.

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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.

Flexibility & Customization

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Rivery

Rivery offers flexibility in custom integrations and supports post-load transformations, but its user interface may lack robustness for managing larger, more complex pipelines.

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Supermetrics

Supermetrics provides flexibility in where data can be stored and visualized, but may lack advanced customization options for more technical users.

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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.

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