What I like about Fivetran
“The pre-built connectors make data integration super easy, without the need for an expensive data engineering team. If you're using dbt, there's a package for most connectors that gives you ready-to-go data models.”
You’re comparing Fivetran vs Stitch vs Weld. Explore how they differ on connectors, pricing, and features.

Loved by data teams from around the world
| Weld | Fivetran | Stitch | |
|---|---|---|---|
| Connectors | 200+ | 740+ | 140+ |
| Price | $79 / 5M Active Rows | Usage-based: charged by Monthly Active Rows and model runs. | $100 / 5M rows |
| Free tier | |||
| Location | DK, (EU) | US | US |
| 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 rating | 4.8 | 4.2 | 4.5 |
Overview
Fivetran is a well-established ELT tool focused on automating data ingestion through prebuilt connectors. It supports transformation orchestration and reverse ETL via its acquisition of Census. While it’s widely used in enterprise settings, its reliance on SQL-based workflows and external tools can increase complexity and cost for teams without dedicated data engineering resources.
Large library of prebuilt connectors (740+)
Support for dbt-based transformations
Reverse ETL through Census integration
Option for hybrid deployment in sensitive environments
Granular access control and metadata logging
Usage-based pricing can escalate quickly
Transformations require SQL and dbt expertise
Limited flexibility in Quickstart models
No support for AI-assisted SQL generation
Reverse ETL is managed via a separate product (Census)
From a review on G2:
“The pre-built connectors make data integration super easy, without the need for an expensive data engineering team. If you're using dbt, there's a package for most connectors that gives you ready-to-go data models.”
“New connectors are released infrequently, and pricing can be opaque. If you're not already using a modern data stack with their preferred tools, integration can be tricky.”
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.”
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:


Side-by-side
Fivetran simplifies initial ingestion setup, but configuration and transformation workflows depend heavily on SQL and dbt. Teams without this experience may face a steeper learning curve.

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.
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.
Side-by-side
Fivetran simplifies initial ingestion setup, but configuration and transformation workflows depend heavily on SQL and dbt. Teams without this experience may face a steeper learning curve.
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.
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.
Side-by-side
Fivetran’s MAR-based pricing model makes it difficult to predict costs, especially for teams with growing or unpredictable data volumes.

Stitch's usage-based pricing is accessible for many teams, but unpredictable costs at scale may limit affordability for growing businesses.
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.
Side-by-side
Fivetran’s MAR-based pricing model makes it difficult to predict costs, especially for teams with growing or unpredictable data volumes.
Stitch's usage-based pricing is accessible for many teams, but unpredictable costs at scale may limit affordability for growing businesses.
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.
Side-by-side
Fivetran includes ELT, dbt-based transformations, and reverse ETL via Census. It also provides orchestration via API, Terraform, and Airflow, though customization is oriented toward technical users.

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.
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.
Side-by-side
Fivetran includes ELT, dbt-based transformations, and reverse ETL via Census. It also provides orchestration via API, Terraform, and Airflow, though customization is oriented toward technical users.
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.
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.
Side-by-side
While programmatic and infrastructure-based extensibility is supported, the platform lacks low-code or guided transformation features, limiting accessibility for non-engineering teams.

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.
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.
Side-by-side
While programmatic and infrastructure-based extensibility is supported, the platform lacks low-code or guided transformation features, limiting accessibility for non-engineering teams.
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.
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.
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