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Weld vs Meltano vs MuleSoft (Anypoint Platform)

You’re comparing Weld vs Meltano vs MuleSoft (Anypoint Platform). Explore how they differ on connectors, pricing, and features. Ed Logo

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meltano logo
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Weld vs Meltano vs MuleSoft (Anypoint Platform)

FeatureWeldMeltanoMuleSoft (Anypoint Platform)
Core Platform
Price
$79 / 5M Active Rows
Free (self-hosted), Meltano Cloud is custom pricing
Enterprise vCore subscription (typically high-cost)
Free tier
No
Yes
No
Location
DK, (EU)
US
US
Connectors & Sync
Connectors
200+
600+
150+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
Yes
Two-Way Sync
Yes
No
Yes
Transformations & AI
Transformations
Yes
No
Yes
AI Assistant
Yes
No
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
No
Yes
Version control
Yes
Yes
Yes
On-Premise
No
Yes
Yes
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
No
No
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.6
4.4

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

Meltano in Short

Meltano is an open-source data integration and orchestration platform built around the Singer ecosystem. It focuses on engineering workflows, version control, and reproducible pipelines. Meltano offers extensive connector coverage through Singer taps and targets, along with strong support for dbt, Airflow, and Dagster. While it provides high flexibility for technical teams, it requires more setup and maintenance than fully managed ELT tools.

meltano logo

Pros

  • Open-source platform

  • Large connector coverage via the Singer ecosystem

  • SDK for building and maintaining Singer taps/targets

  • Strong engineering workflow support (CLI-first, version-controlled)

  • Flexible deployment options including Meltano Cloud

Cons

  • No fully polished, mature managed option (Meltano Cloud is early-stage)

  • High maintenance requirements, especially for Singer connectors

  • Connector quality varies significantly across the community

  • No built-in reverse ETL or native transformations

  • Less suitable for non-technical teams

Reviews & Quotes

As a user on G2 puts it::

What I like about Meltano

All the managerial tasks are handled under the hood, leaving you to focus on getting or consuming the data you need.

What I dislike about Meltano

With so many features baked into Meltano, navigating the documentation can be challenging. However, I've gotten around this by using Bing AI search, which brings me the answer immediately.

Overview

MuleSoft (Anypoint Platform) in Short

MuleSoft’s Anypoint Platform is an enterprise integration and API management solution that supports real-time APIs, messaging, ESB patterns, and batch ETL-style pipelines. It offers 150+ enterprise connectors, a hybrid deployment model, and the DataWeave transformation language, making it suitable for large organizations with complex integration requirements.

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Pros

  • 150+ enterprise-grade connectors for SaaS apps, databases, mainframes, and protocols

  • Hybrid deployment support: on-prem, private cloud, or CloudHub managed runtime

  • Powerful DataWeave language for advanced transformation logic

  • Supports both real-time APIs and scheduled/batch integrations

  • Enterprise architecture features: high availability, clustering, monitoring, SLAs

  • Comprehensive tooling (Anypoint Studio, API Manager, Anypoint Exchange)

Cons

  • Steep learning curve; requires dedicated integration developers

  • High licensing costs (vCore-based), best suited for large enterprises

  • More complex and time-consuming to build pipelines compared to low-code ELT tools

  • Self-managed deployments require substantial operational maintenance

  • IDE and tooling can feel heavy compared to more modern low-code solutions

Reviews & Quotes

Summary from G2 Review:

What I like about MuleSoft (Anypoint Platform)

MuleSoft’s Anypoint Platform offers a wide set of enterprise connectors and a strong integration engine, supporting both API-led connectivity and batch-style integrations across cloud and on-prem systems.

Feature-by-Feature Comparison

Feature
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meltano logo
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Ease of Use & Interface

Side-by-side

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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.

meltano logo

Meltano is simple and easy to use for those with technical expertise, particularly due to its portability and command-line usability, but may be challenging for less technical users.

mulesoft logo

MuleSoft is developer-focused and centered around Anypoint Studio, an Eclipse-based IDE. It is powerful but requires training and strong integration expertise to use effectively.

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.

meltano logo

Meltano is open-source and free to use, making it highly affordable, but requires significant investment in deployment and maintenance, especially without a fully managed option.

mulesoft logo

MuleSoft is positioned at the enterprise end of the market with vCore-based pricing, making it one of the more expensive integration platforms. Costs align with large-scale, mission-critical use cases.

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.

meltano logo

The platform offers extensive integration options, including support for data transformation and orchestration, but relies heavily on the Singer framework, which can limit capabilities.

mulesoft logo

MuleSoft supports API-led connectivity, ESB, real-time integrations, batch jobs, DataWeave transformations, API policy enforcement, message queuing, monitoring, and hybrid runtime deployment. It is designed to serve as a full enterprise integration platform.

Flexibility & Customization

Side-by-side

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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.

meltano logo

Meltano is highly flexible for advanced users who can manage their own deployments and build on the platform, but it requires substantial maintenance and lacks a fully managed option.

mulesoft logo

The platform is highly customizable with extensible connectors, DataWeave scripting, custom Java components, and support for complex orchestration and multi-system transactions. This flexibility requires engineering expertise and dedicated development time.

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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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