What I like about Estuary
“Estuary’s real-time, no-code model is magical—getting data instantly with minimal effort and near-zero pipeline maintenance. Plus, their support is fantastic.”
You’re comparing Estuary vs MuleSoft (Anypoint Platform) vs Weld. Explore how they differ on connectors, pricing, and features.


Loved by data teams from around the world
| Weld | Estuary | MuleSoft (Anypoint Platform) | |
|---|---|---|---|
| Connectors | 200+ | 200+ | 150+ |
| Price | $99 / 5M Active Rows | $0.50/GB consumed + per-connector fee | Enterprise vCore subscription—high-end (six-figure annual) |
| Free tier | |||
| Location | EU | New York, NY, USA | 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 | 4.8 | 4.4 |
Overview
Estuary Flow is a real-time ETL/ELT and data integration platform for both batch and streaming pipelines. It provides sub-100ms latency using Change Data Capture (CDC), supports automated schema evolution, and allows users to build entire pipelines with low- or no-code connectors in minutes. It can target data warehouses (e.g., Snowflake, BigQuery), BI tools, and operational systems for analytics, operations, and AI use cases.

Purpose-built for real-time CDC and streaming ETL with sub-100ms latency.
Automatic schema evolution with exactly-once delivery guarantees.
200+ no-code connectors for databases, SaaS apps, and message queues.
Flexible deployment: public cloud, private cloud, or self-hosted (BYOC).
Premium pricing model ($0.50/GB consumed + connector fees) can be expensive for small teams.
Still growing connector catalog; niche or very new APIs may require custom work.
Smaller community compared to older open-source tools, meaning fewer community-built resources.
Estuary Pricing Page:
“Estuary’s real-time, no-code model is magical—getting data instantly with minimal effort and near-zero pipeline maintenance. Plus, their support is fantastic.”
“Pricing can be high for lower-volume teams, and some less-common connectors are still in development, which limits immediate use cases for niche sources.”
Overview
MuleSoft’s Anypoint Platform is an enterprise-grade iPaaS that supports batch ETL, real-time APIs, ESB, and more. With 150+ pre-built connectors (Anypoint Connectors) and the powerful DataWeave transformation language, MuleSoft can handle complex integrations between on-prem and cloud systems. It excels at high-throughput, mission-critical use cases and offers hybrid deployment (cloud or on-prem runtime).

Extensive connectivity: 150+ enterprise-grade connectors (SaaS, databases, protocols, mainframes)
Hybrid deployment: fully on-prem, private cloud, or CloudHub managed runtime
Powerful DataWeave language for complex transformations
API-led architecture supporting real-time APIs and batch ETL/ELT in the same platform
Enterprise-grade reliability: high throughput, clustering, transactions, and monitoring
Rich tooling: Anypoint Studio (IDE), API Manager, Exchange for reusable assets
High complexity and steep learning curve—requires experienced integration developers
Expensive licensing (vCore-based), typically suited for large enterprises
Not focused on out-of-the-box simplicity—each pipeline is effectively a development project
Maintenance overhead when self-hosted; even CloudHub needs ongoing ops for flow logic
UI/IDE can feel dated and resource-intensive compared to modern low-code ETL tools
Tech Lead at a Financial Services Firm (G2 Review summary):
“MuleSoft’s Anypoint Platform offers 100+ pre-built connectors and a powerful integration engine. It’s an enterprise integration solution that supports batch ETL as well as real-time API integrations, making it possible to connect virtually any system.”
Overview
Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.
Lineage, orchestration, and workflow features
Ability to handle large datasets and near real-time data sync
ETL + reverse ETL in one
User-friendly and easy to set up
Flat monthly pricing model
200+ connectors (Shopify, HubSpot, etc.)
AI assistant
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
A reviewer on G2 said:
“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”




Side-by-side

Estuary’s UI is intuitive: users can add connectors, configure CDC streams, and specify destinations in a few clicks. Complex transformations can be written in SQL or TypeScript directly in the Flow editor, but most tasks are handled via no-code connectors.

MuleSoft is a developer-centric platform with Anypoint Studio as an Eclipse-based IDE. It is powerful but not plug-and-play; teams need formal training and strong integration expertise to use it effectively.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Side-by-side
Estuary’s UI is intuitive: users can add connectors, configure CDC streams, and specify destinations in a few clicks. Complex transformations can be written in SQL or TypeScript directly in the Flow editor, but most tasks are handled via no-code connectors.
MuleSoft is a developer-centric platform with Anypoint Studio as an Eclipse-based IDE. It is powerful but not plug-and-play; teams need formal training and strong integration expertise to use it effectively.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Side-by-side

While Estuary provides a 10 GB/month free tier and a 30-day trial, its consumption-based pricing ($0.50/GB + connector fees) can become costly at scale. Teams processing hundreds of GBs per month should budget accordingly.

MuleSoft is among the most expensive integration platforms. Pricing is based on the number of vCores and features, making it a significant investment reserved for large enterprises with complex integration needs.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Side-by-side
While Estuary provides a 10 GB/month free tier and a 30-day trial, its consumption-based pricing ($0.50/GB + connector fees) can become costly at scale. Teams processing hundreds of GBs per month should budget accordingly.
MuleSoft is among the most expensive integration platforms. Pricing is based on the number of vCores and features, making it a significant investment reserved for large enterprises with complex integration needs.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Side-by-side

Key features include real-time CDC (sub-100ms latency), batch and streaming pipelines, automated schema evolution, and in-stream or post-load transformations via SQL/TypeScript or dbt. It also supports Kafka-compatibility and private storage for data replay.

Extensive feature set: batch and streaming ETL, real-time API creation, ESB, DataWeave transformations, API management, message queuing, hybrid deployment, high availability, and robust monitoring. Essentially, MuleSoft can serve as ETL, ESB, and API gateway in one.
Weld integrates ELT, data transformations, and reverse ETL all within one platform. It also provides advanced features such as data lineage, orchestration, workflow management, and an AI assistant, which helps in automating repetitive tasks and optimizing workflows.
Side-by-side
Key features include real-time CDC (sub-100ms latency), batch and streaming pipelines, automated schema evolution, and in-stream or post-load transformations via SQL/TypeScript or dbt. It also supports Kafka-compatibility and private storage for data replay.
Extensive feature set: batch and streaming ETL, real-time API creation, ESB, DataWeave transformations, API management, message queuing, hybrid deployment, high availability, and robust monitoring. Essentially, MuleSoft can serve as ETL, ESB, and API gateway in one.
Weld integrates ELT, data transformations, and reverse ETL all within one platform. It also provides advanced features such as data lineage, orchestration, workflow management, and an AI assistant, which helps in automating repetitive tasks and optimizing workflows.
Side-by-side

Estuary allows custom TypeScript transforms in-stream or SQL in-destination. Pipelines can be managed via CLI (flowctl) and integrated into CI/CD. While most connectors are no-code, custom connectors can be built using the open-source Flow SDK.

MuleSoft is highly flexible: you can extend connectors, write custom DataWeave scripts, embed custom Java code, and orchestrate complex multi-system transactions. The platform can be tailored to virtually any integration requirement but demands developer resources.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
Side-by-side
Estuary allows custom TypeScript transforms in-stream or SQL in-destination. Pipelines can be managed via CLI (flowctl) and integrated into CI/CD. While most connectors are no-code, custom connectors can be built using the open-source Flow SDK.
MuleSoft is highly flexible: you can extend connectors, write custom DataWeave scripts, embed custom Java code, and orchestrate complex multi-system transactions. The platform can be tailored to virtually any integration requirement but demands developer resources.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
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