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Weld vs Airbyte vs Equals

You’re comparing Weld vs Airbyte vs Equals. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Airbyte vs Equals

FeatureWeldAirbyteEquals
Core Platform
Price
$79 / 5M Active Rows
Standard from $10/mo; Plus & Pro are custom (capacity-based)
Custom (not publicly disclosed)
Free tier
No
Yes
No
Location
DK, (EU)
US
US
Connectors & Sync
Connectors
200+
600+
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
No
Yes
AI Assistant
Yes
Yes
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
Yes
No
Governance & DevOps
Orchestration
Yes
No
No
Lineage
Yes
No
No
Version control
Yes
No
No
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
Yes
No
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.2

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.

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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

Airbyte in Short

Airbyte is an open-source data integration platform known for its large connector library and flexibility. It offers both self-hosted and fully managed cloud versions, with support for ELT, Reverse ETL, and custom connector development. Airbyte is especially popular with engineering-heavy teams due to its extensibility, dbt integration, and strong developer tooling. However, it typically requires more setup and ongoing maintenance compared to more polished no-code tools.

airbyte logo

Pros

  • Open-source and highly extensible

  • Large number of connectors (600+)

  • Managed cloud option

  • Supports ELT and Reverse ETL

  • Strong dbt Core & dbt Cloud integration

  • Engineering-focused with advanced customization options

  • Growing ecosystem including AI-assisted tools like Connection AI Copilot

Cons

  • More suited for advanced or engineering-heavy teams

  • Requires more setup and ongoing maintenance

  • Connector quality varies due to open-source contributions

  • Not ideal for non-technical users

Reviews & Quotes

In a review from Confessions of a Data Guy, he shares::

What I like about Airbyte

If you don't have workloads that currently use DBT or fit well into that model, this probably isn’t the tool for you.

Overview

Equals in Short

Equals is an all-in-one GTM analytics platform that combines data ingestion, transformation, and analysis in a unified interface. It automatically syncs data from sources such as Salesforce, HubSpot, Stripe, and SQL databases into an embedded Snowflake warehouse, and presents analysis through a spreadsheet-style BI layer tailored for revenue and pipeline metrics.

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Pros

  • Integrated ELT with automated syncs for Salesforce, HubSpot, Stripe, SQL sources, and more.

  • Includes a managed Snowflake warehouse—no infrastructure setup or maintenance required.

  • Spreadsheet-based BI interface with live queries for analysis and reporting.

  • Pre-built GTM templates for pipeline, ARR, churn, and revenue metrics.

  • Slack/email alerting for scheduled or triggered notifications.

Cons

  • Primarily optimized for GTM and revenue analytics rather than broad ETL use cases.

  • Custom SQL is required for more advanced modeling or non-template scenarios.

  • Costs can increase if Snowflake consumption grows beyond base package levels.

Reviews & Quotes

From an Equals customer success story:

What I like about Equals

Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.

What I dislike about Equals

Some advanced customization options beyond the built-in GTM templates require SQL knowledge and comfort with the underlying warehouse.

Feature-by-Feature Comparison

Feature
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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.

airbyte logo

Airbyte is best suited for teams with engineering experience. While the cloud version simplifies deployment, building or modifying connectors and managing pipelines typically requires technical skills.

equals logo

Equals uses a spreadsheet interface familiar to analysts and operations teams, combined with direct SQL access for more technical users. GTM-focused templates accelerate dashboard creation and reduce configuration time.

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.

airbyte logo

Airbyte offers both a generous free tier and paid plans. Standard starts at $10/month with volume-based pricing, while Plus and Pro use capacity-based pricing for more predictable costs. Depending on usage, Airbyte can be affordable, but costs may rise as workloads grow.

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Equals uses a custom-quote pricing model that includes ELT, transformations, and a managed Snowflake warehouse. Costs scale with data usage and compute consumption inside Snowflake, which may increase as data volume grows.

Feature Set

Side-by-side

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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.

airbyte logo

Airbyte has one of the largest connector libraries on the market and supports ELT, Reverse ETL, dbt Core, dbt Cloud, and advanced developer tooling. However, unlike some competitors, it does not offer built-in transformations or native orchestration.

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Key features include automated ELT from GTM systems, a built-in Snowflake warehouse, spreadsheet-based BI, pre-defined revenue dashboards, scheduling, and alerting. Designed specifically for GTM analytics workflows.

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.

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Airbyte is highly flexible thanks to its open-source nature, custom connector builder, APIs, and developer tooling. This makes it a strong choice for engineering teams, but less appealing for organizations wanting a low-maintenance, no-code experience.

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Users can extend beyond templates using SQL for custom transformations and modeling. Advanced customization depends on SQL proficiency, but the spreadsheet layer covers most operational analytics needs.

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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
Rodrigo Andres Valle, Data Engineer at Holafly logo

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.
Rodrigo Andres Valle, Data Engineer at Holafly
Michael Howes, Head of Data & Insights at Dishoom logo

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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