Which one to choose
Rivery is a cloud-based ELT and data orchestration platform designed to help teams build data pipelines with minimal engineering effort. Weld puts ingestion, transformations, orchestration and reverse ETL in one product, with 300+ connectors built in house.
Choose Rivery if its strengths below matter more to your team than one platform for the whole pipeline. Choose Weld if you want ingestion, transformations, orchestration and reverse ETL in one product, on one bill.
Where Rivery is strong
- 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
Where Weld is strong
- Ingestion, transformations, orchestration and reverse ETL in one product, on one bill
- Data lineage built in
- A native AI agent, an MCP server and a full API
- dbt Core and dbt Cloud, orchestrated alongside your syncs
Weld vs Rivery, feature by feature
| Capability | Weld | Rivery |
|---|---|---|
| Core platform | ||
| Starting price | From $99/mo (flat) | $0.75 per credit (100MB replicated = 1 credit) |
| Free tier | Free trial | — |
| Connectors | 300+ | 200+ |
| Deployment | SaaS | SaaS |
| Connectors and sync | ||
| Data ingestion (ELT) | ||
| Reverse ETL | ||
| Fastest sync frequency | 1 min | 5 min |
| Replication and CDC | ||
| Full refresh | ||
| Incremental | ||
| Log-based CDC | ||
| History tables (SCD) | — | |
| Transformations | ||
| Transformations | ||
| dbt Core | — | |
| dbt Cloud | — | |
| AI and agent support | ||
| Agent API | Native AI agent, MCP server, Connect API | — |
| MCP server | — | |
| CLI | — | |
| REST / OpenAPI | ||
| Orchestration and governance | ||
| Orchestration | ||
| Data lineage | — | |
| Version control | — | |
| Audit logs | ||
| Ratings | ||
| G2 rating | 4.8 | 4.7 |
What G2 reviewers say
“Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience.”
“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.”
How Weld and Rivery compare in practice
What each tool is
Weld. Weld is a data pipeline and activation platform built for teams that need reliable ingestion, dbt-powered transformations, and data for AI agents and applications. Its Connect API gives agents and applications programmatic access to data pipelines. With 300+ in-house-built connectors, first-class dbt Core and dbt Cloud support, and near real-time syncs, Weld lets teams move data from any source into their cloud data warehouse and activate it back into business tools.
Rivery. 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.
Ease of use
Weld. 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. Rivery is generally easy to use and designed for fast pipeline building, though working with larger workflows can feel cluttered.
Pricing
Weld. Weld offers a simple and predictable pricing model starting at $99 for 5 million active rows. This flat, MAR-based structure makes budgeting straightforward for small and medium-sized teams.
Rivery. Rivery uses a credit-based pricing model that can become expensive as data volumes grow, and costs may be difficult to estimate in advance.
Features
Weld. Weld provides ELT ingestion, dbt-powered transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. A native AI agent is built in, and an MCP server and the Connect API let AI agents and applications access and orchestrate data programmatically.
Rivery. Rivery offers ELT, Reverse ETL, custom API extraction, and SQL/Python transformations. However, observability, lineage, and advanced governance features are limited.
Flexibility
Weld. Users can model data using dbt or SQL, automate workflows via the Connect API, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and enable agent-driven data workflows within one platform.
Rivery. 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.
See for yourself whether Weld can replace Rivery
Every plan starts with a 14-day free trial. Connect a source and a warehouse, and your first sync runs the same day. If you would rather see it first, a data engineer will walk you through it on your own setup.
Further reading
Frequently asked questions
What's the difference between Rivery and Weld?
Rivery is primarily focused on data integration and ELT. Weld is a data pipeline and activation platform that combines ELT connectors, reverse ETL, SQL transformations, orchestration, and data lineage in a single tool. Rivery has 200+ connectors, while Weld has 300+ connectors with flat, predictable pricing.
Is Rivery cheaper than Weld?
Rivery's pricing starts at $0.75 per credit (100MB replicated = 1 credit). Weld starts at From $99/mo (flat) with flat pricing based on active rows, so there are no usage-based surprises. Weld also includes features like transformations, reverse ETL, and orchestration that may require add-ons or separate tools with Rivery.
Can I migrate from Rivery to Weld?
Yes. Weld's team assists with migrations and the platform supports standard SQL transformations, making it straightforward to port existing models. Weld's 300+ connectors cover the most common data sources, and the setup process takes minutes rather than weeks.
Does Rivery have a free tier?
Rivery does not offer a free tier. Weld also offers a free tier so you can explore the full platform before committing.
Does Rivery support reverse ETL?
Rivery offers reverse ETL capabilities. Weld includes reverse ETL as part of its core platform, enabling you to sync transformed data back to business tools like Salesforce, HubSpot, and Google Sheets.
Does Weld or Rivery support AI agents?
Weld offers an agent-native platform with a Connect API that gives AI agents and applications programmatic access to data pipelines and warehouse data. Rivery does not currently offer comparable agent-native capabilities. Weld also provides first-class dbt Core and dbt Cloud integration for transformation workflows.