You’re comparing Weld vs Rivery vs Stitch. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
| Feature | Weld | Rivery | Stitch |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | $0.75 per credit (100MB replicated = 1 credit) | $100 / 5M rows |
| Free tier | No | No | Yes |
| Location | DK, (EU) | US | US |
| Connectors & Sync | |||
| Connectors | 200+ | 200+ | 140+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | Yes | No |
| Two-Way Sync | Yes | No | No |
| Transformations & AI | |||
| Transformations | Yes | Yes | Yes |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | No |
| Governance & DevOps | |||
| Orchestration | Yes | Yes | No |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| On-Premise | No | No | No |
| OpenAPI / Developer API | Yes | Yes | Yes |
| Integrations | |||
| Load to/from Excel | Yes | No | No |
| Load to/from Google Sheets | Yes | Yes | No |
| Ratings | |||
| G2 rating | 4.8 | 4.7 | 4.5 |
Overview
Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.
Lineage, orchestration, and workflow features included by default
Handles large datasets and near real-time data sync
ELT and reverse ETL in one platform
User-friendly interface with minimal setup required
Flat, predictable monthly pricing model
200+ in-house–built, high-quality connectors
AI assistant for modeling and transformations
Some SQL knowledge is useful for advanced modeling
Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)
Feature set is streamlined for modern ELT/activation use cases
A reviewer on G2 said:
Overview
Rivery is a cloud-based ELT and data orchestration platform designed to help teams build data pipelines with minimal engineering effort. It provides pre-built connectors, support for custom API extraction, and post-load transformations through "Logic Rivers," which allow SQL- and Python-based transformation workflows. While Rivery focuses on automation and usability, the platform relies on a credit-based pricing model and lacks some advanced observability features found in more enterprise-focused tools.
User-friendly, no-code/low-code interface
Supports custom API integrations through a native GUI
Reverse ETL capabilities
Python and SQL-based transformations via Logic Rivers
Responsive customer support
Pricing can be difficult to predict due to credit-based model
Limited real-time / on-the-fly transformation options (no ETL)
Documentation quality is inconsistent
Interface can become cumbersome for large, complex pipelines
Error handling and monitoring features are less advanced compared to enterprise tools
As a user on G2 puts it::
“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.”
“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
Stitch, acquired by Talend in 2018, is a developer-focused ELT platform offering a range of no-code and open-source connectors. Built around the Singer standard, it enables flexible data extraction and loading workflows into cloud data warehouses.
Easy to set up and use
Usage-based pricing model
Open-source extensibility via Singer
Integrates with Talend
Supports JSON-based transformations
Connector quality varies due to open-source model
Limited transformation and orchestration features
No reverse ETL capabilities
Relies on the Singer framework, which can break without notice
Limited control over data lineage and versioning
Less suitable for non-technical users or complex workflows
A reviewer on G2 said:
“Stitch integrates with most large companies such as Google Ads, Microsoft Ads, etc. One of the best things is that it sets up cost allocation in a very easy straightforward manner.”
“Sometimes the UI can be finnicky and takes a while to make a change. I wish the UI was faster sometimes. It could be better by having a faster loading speed time.”
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
Rivery is generally easy to use and designed for fast pipeline building, though working with larger workflows can feel cluttered.
Stitch offers simple setup and a user-friendly interface, but full utilization may require technical knowledge, especially when using or extending connectors built on Singer.
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
Rivery is generally easy to use and designed for fast pipeline building, though working with larger workflows can feel cluttered.
Stitch offers simple setup and a user-friendly interface, but full utilization may require technical knowledge, especially when using or extending connectors built on Singer.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
Rivery uses a credit-based pricing model that can become expensive as data volumes grow, and costs may be difficult to estimate in advance.
Stitch's usage-based pricing is accessible for many teams, but unpredictable costs at scale may limit affordability for growing businesses.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
Rivery uses a credit-based pricing model that can become expensive as data volumes grow, and costs may be difficult to estimate in advance.
Stitch's usage-based pricing is accessible for many teams, but unpredictable costs at scale may limit affordability for growing businesses.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Rivery offers ELT, Reverse ETL, custom API extraction, and SQL/Python transformations. However, observability, lineage, and advanced governance features are limited.
Stitch provides basic ELT capabilities and integrates with Talend. However, it lacks deeper transformation tools, orchestration, or reverse ETL functions that more complete platforms offer.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Rivery offers ELT, Reverse ETL, custom API extraction, and SQL/Python transformations. However, observability, lineage, and advanced governance features are limited.
Stitch provides basic ELT capabilities and integrates with Talend. However, it lacks deeper transformation tools, orchestration, or reverse ETL functions that more complete platforms offer.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
The platform offers flexibility through its Logic Rivers and custom API connectors, but lacks deeper customization options and advanced development workflows found in more engineering-focused tools.
Stitch is flexible through its open-source Singer model but this flexibility comes at the cost of stability and consistency, with limited support for more complex enterprise workflows.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
The platform offers flexibility through its Logic Rivers and custom API connectors, but lacks deeper customization options and advanced development workflows found in more engineering-focused tools.
Stitch is flexible through its open-source Singer model but this flexibility comes at the cost of stability and consistency, with limited support for more complex enterprise workflows.
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CUSTOMER STORIES
“One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.”
“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”
“We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.”
“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”
“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”
“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”
“By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance”
“We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.”
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