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Comparing Estuary with Segment and Weld

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

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Weld vs Estuary vs Segment

WeldEstuarySegment
Connectors200+200+300+
Price$99 / 5M Active Rows$0.50/GB consumed + per-connector fee$120/month 10,000 visitors
Free tier
LocationEUNew York, NY, USAUS
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 rating4.84.84.6

Overview

Estuary in Short

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.

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Pros

  • 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).

Cons

  • 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.

Reviews & Quotes

Estuary Pricing Page:

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.

What I dislike about Estuary

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

Segment in Short

Acquired by Twilio in 2020, Segment is a leading Customer Data Platform (CDP) that helps businesses collect, unify, and activate customer data in real time. It gathers event data from various sources, web, mobile, servers, and uses identity resolution to build unified customer profiles. Segment's key features include creating personas, defining audiences, and syncing them across marketing, analytics, and CRM tools. With strong data governance and privacy controls, plus support for reverse ETL and data warehouse integration, Segment enables personalized, data-driven customer engagement at scale.

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Pros

  • Real-time data integration capabilities

  • Pre-built and maintained connectors for popular data sources

  • Has advanced features for managing customer data

  • Easy to setup and use

Cons

  • Quickly becomes very expensive

  • Not suitable for only use for ELT

  • Heavily skewed toward sales and marketing platforms

  • Custom integration or customization is really hard to do

Reviews & Quotes

A reviewer on G2 said::

What I like about Segment

Segment connects to all the various platforms that we're using which makes it very easy to send data around. No engineering needed.

What I dislike about Segment

Pricing could be a bit more affordable, especially if you want to use ETL processes.

Overview

Weld in Short

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.

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Pros

  • 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

Cons

  • Requires some technical knowledge around data warehousing and SQL

  • Limited features for advanced data teams

  • Focused on cloud data warehouses

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.

What I dislike about Weld

Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.

Feature-by-Feature Comparison

Feature
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Estuary

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Segment

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Weld

Ease of Use & Interface

Side-by-side

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Estuary

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.

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Segment

Segment is easy to set up and use, offering real-time data integration and advanced features for managing customer data, making it a great choice for businesses focusing on customer data platforms.

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Weld

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.

Pricing & Affordability

Side-by-side

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Estuary

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.

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Segment

Segment can quickly become very expensive, especially for smaller businesses, due to its pricing model based on the number of visitors and advanced features.

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Weld

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.

Feature Set

Side-by-side

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Estuary

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.

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Segment

The platform provides robust real-time data integration capabilities and is heavily skewed towards sales and marketing platforms, making it ideal for businesses with a strong focus on customer data.

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Weld

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.

Flexibility & Customization

Side-by-side

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Estuary

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.

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Segment

Segment offers limited flexibility for use outside of customer data and event tracking, with customization options that can be challenging for more complex requirements.

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Weld

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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