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Weld vs Fivetran vs Integrate.io

You’re comparing Weld vs Fivetran vs Integrate.io. Explore how they differ on connectors, pricing, and features. Ed Logo

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Fivetran logo
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Loved by data teams from around the world

Weld vs Fivetran vs Integrate.io

FeatureWeldFivetranIntegrate.io
Core Platform
Price
$79 / 5M Active Rows
Usage-based: charged by Monthly Active Rows and model runs.
Custom, based on connectors & volume
Free tier
No
Yes
No
Location
DK, (EU)
US
US
Connectors & Sync
Connectors
200+
740+
100+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
Yes
Two-Way Sync
Yes
No
Yes
Transformations & AI
Transformations
Yes
Yes
Yes
AI Assistant
Yes
No
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
Yes
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
Yes
No
Version control
Yes
No
No
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
Yes
No
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.2
4.3

Overview

Weld in Short

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.

weld logo

Pros

  • 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

Cons

  • 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

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience. Its flexibility across sources—from databases to Google Sheets and APIs—made onboarding smooth, and performance across larger workloads was consistently strong. Support was responsive and helpful throughout our setup and ongoing use.

Overview

Fivetran in Short

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.

Fivetran logo

Pros

  • 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

Cons

  • 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)

Reviews & Quotes

From a review on G2:

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.

What I dislike about Fivetran

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

Integrate.io in Short

Integrate.io (formerly Xplenty) is a low-code/no-code data integration platform that unifies ETL, ELT, and reverse ETL in a single solution. It features a drag-and-drop interface for building pipelines and supports over 150 pre-built connectors for databases, SaaS apps, and REST APIs. Designed for both cloud and hybrid environments, it offers on-premise agents for secure local data access. Integrate.io supports complex workflows with scheduling, transformation logic, and change data capture (CDC), while also enabling reverse ETL to push data back into operational systems like CRMs. With built-in monitoring, alerts, and customer support, it’s a strong option for teams seeking a user-friendly yet powerful integration platform.

integrate.io logo

Pros

  • 100+ pre-built connectors covering both operational (reverse ETL) and analytical use cases

  • Low-code visual pipeline builder with rich transformation expressions

  • Supports hybrid deployments via secure agent for on-prem sources

  • Unified platform for ETL, ELT, and reverse ETL

  • Robust workflow orchestration and scheduling features

Cons

  • Cloud-only SaaS (no fully on-prem option)

  • UI can feel complex initially due to breadth of features

  • Less polished transformation debugging compared to dedicated tools like Matillion

  • Pricing can be high for small teams; custom quotes required

  • Documentation sometimes lagging on newer features

Reviews & Quotes

G2 Review:

What I like about Integrate.io

The system was easy to integrate and flexible for all of our systems. The system is reliable with little or no maintenance or intervention needed to maintain consistent data flows. They have excellent support and communication in both timelines and quality of response.

What I dislike about Integrate.io

There is a learning curve that can take some time to leverage more complex transformations and the support is limited with highly complex setups leaving some aspects of development more difficult.

Feature-by-Feature Comparison

Feature
weld logo
Fivetran logo
integrate.io logo

Ease of Use & Interface

Side-by-side

weld logo

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.

Fivetran logo

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.

integrate.io logo

Integrate.io offers a drag-and-drop canvas for building pipelines, which is intuitive for new users but requires some ramp-up to master its full capabilities.

Pricing & Affordability

Side-by-side

weld logo

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.

Fivetran logo

Fivetran’s MAR-based pricing model makes it difficult to predict costs, especially for teams with growing or unpredictable data volumes.

integrate.io logo

Pricing is customized and generally pitched as more affordable than enterprise competitors, but small businesses may find entry costs high without a free tier.

Feature Set

Side-by-side

weld logo

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.

Fivetran logo

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.

integrate.io logo

A breadth of features: ETL/ELT connectors, reverse ETL for operational syncs, built-in transformation expressions, API generation, and workflow automation. It also provides data governance tools like environment promotion.

Flexibility & Customization

Side-by-side

weld logo

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.

Fivetran logo

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

integrate.io logo

Integrate.io allows custom scripting (JavaScript or SQL) within pipelines and secure agent deployment for on-prem sources. Its API and SDK enable integration into CI/CD, but ultimate customization is bounded by the platform’s framework.

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CUSTOMER STORIES

The latest success stories from data-driven companies

Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

How Flatpay optimized marketing efficiency with Weld

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.
Jacob Poulsen, Head of Marketing Expansion at Flatpay
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How Holafly transformed data management and scaled globally with Weld

Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.
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How Dishoom scaled data operations without scaling its team

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.
Michael Howes, Head of Data & Insights at Dishoom
Sven Hasenberg, CFO, VitaMoment logo

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.
Sven Hasenberg, CFO, VitaMoment
Temur Makhsudov, Head of BI and Operations logo

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.
Temur Makhsudov, Head of BI and Operations
Matias Voldby Drejer, BI Lead logo

How Female Invest centralized data management and saved resources with Weld

Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.
Matias Voldby Drejer, BI Lead
Jonas Iversen, Tech Lead Data logo

How Soundboks streamlined data integration with Weld, S3, and Databricks

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
Jonas Iversen, Tech Lead Data
Jens Karstoft, Chief Operating Officer at Roccamore logo

How Roccamore unlocked better business insights with Weld

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.
Jens Karstoft, Chief Operating Officer at Roccamore

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