You’re comparing Weld vs Databox vs Fivetran. Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Databox | Fivetran |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | $47 / month - 3 sources, 5 users | Usage-based: charged by Monthly Active Rows and model runs. |
| Free tier | No | Yes | Yes |
| Location | DK, (EU) | US | US |
| Connectors & Sync | |||
| Connectors | 200+ | 100+ | 740+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | No | Yes |
| Two-Way Sync | Yes | No | No |
| Transformations & AI | |||
| Transformations | Yes | No | Yes |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | Yes |
| Governance & DevOps | |||
| Orchestration | Yes | No | Yes |
| Lineage | Yes | No | Yes |
| Version control | Yes | No | No |
| On-Premise | No | No | Yes |
| OpenAPI / Developer API | Yes | No | Yes |
| Integrations | |||
| Load to/from Excel | Yes | No | Yes |
| Load to/from Google Sheets | Yes | No | Yes |
| Ratings | |||
| G2 rating | 4.8 | 4.5 | 4.2 |
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
Databox is a cloud-based data visualization and business intelligence platform that helps businesses of all sizes track, analyze, and share their key performance indicators (KPIs). It offers a wide range of features, including the ability to connect to multiple data sources, create custom dashboards, and share insights with others.
Easy to use
Powerful features
Great customer support
Comprehensive data visualization
Real-time data updates
Expensive
Limited customization
Lack of advanced features
Limited drill-down capabilities
A reviewer on Capterra:
“Databox is always looking for ways to improve its interface. It's smooth - data updates quickly and it's easy to use. The customer service is super responsive, and always willing to step in and help out with the Databoards (dashboards) I'm working on. I would say it is my favorite tool to use as an analyst - ever!”
“Still missing some more obscure, less popular, integrations.”
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.”
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.
Databox is known for its smooth user interface and ease of use. It is designed for non-technical teams to quickly create dashboards and monitor KPIs without managing a complex data setup.
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.
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.
Databox is known for its smooth user interface and ease of use. It is designed for non-technical teams to quickly create dashboards and monitor KPIs without managing a complex data setup.
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.
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.
Databox offers a free tier and several paid plans, but costs can increase as users add more data sources or team members. Smaller teams may find it expensive relative to the feature set.
Fivetran’s MAR-based pricing model makes it difficult to predict costs, especially for teams with growing or unpredictable data volumes.
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.
Databox offers a free tier and several paid plans, but costs can increase as users add more data sources or team members. Smaller teams may find it expensive relative to the feature set.
Fivetran’s MAR-based pricing model makes it difficult to predict costs, especially for teams with growing or unpredictable data volumes.
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.
The platform supports a range of marketing, CRM, and analytics integrations and offers strong visualization features. However, it has limited transformation, modeling, and data pipeline capabilities compared with full data platforms.
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.
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.
The platform supports a range of marketing, CRM, and analytics integrations and offers strong visualization features. However, it has limited transformation, modeling, and data pipeline capabilities compared with full data platforms.
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.
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.
Databox provides customizable dashboards and calculated metrics but offers limited depth for advanced analytics or complex data workflows. It is best suited for teams focused on simple, consolidated reporting rather than end-to-end data operations.
While programmatic and infrastructure-based extensibility is supported, the platform lacks low-code or guided transformation features, limiting accessibility for non-engineering teams.
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.
Databox provides customizable dashboards and calculated metrics but offers limited depth for advanced analytics or complex data workflows. It is best suited for teams focused on simple, consolidated reporting rather than end-to-end data operations.
While programmatic and infrastructure-based extensibility is supported, the platform lacks low-code or guided transformation features, limiting accessibility for non-engineering teams.
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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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