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Weld vs Adverity vs Twilio Segment

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

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Weld vs Adverity vs Twilio Segment

FeatureWeldAdverityTwilio Segment
Core Platform
Price
$79 / 5M Active Rows
$500+/month depending on data volume and feature access
$120/month for 10,000 visitors
Free tier
No
No
Yes
Location
DK, (EU)
Austria
US
Connectors & Sync
Connectors
200+
600+
300+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
Yes
Two-Way Sync
Yes
No
No
Transformations & AI
Transformations
Yes
Yes
No
AI Assistant
Yes
No
No
dbt Core Integration
Yes
No
Yes
dbt Cloud Integration
Yes
No
Yes
Governance & DevOps
Orchestration
Yes
No
No
Lineage
Yes
No
No
Version control
Yes
No
No
On-Premise
No
No
No
OpenAPI / Developer API
Yes
No
Yes
Integrations
Load to/from Excel
Yes
No
No
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.5
4.6

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

Adverity in Short

Adverity is a data integration platform designed for marketing and analytics teams. It provides over 600 connectors to advertising platforms, analytics tools, commerce systems, and file storage. The platform focuses on centralizing siloed marketing data, enabling transformation and harmonization workflows, and exporting data into BI tools or warehouses. It is positioned toward enterprise and agency teams managing large-scale campaign and performance data.

adverity logo

Pros

  • Wide range of marketing and commerce connectors (600+)

  • Transformation and harmonization features built-in

  • Data quality monitoring (e.g., anomaly detection, deduplication)

  • Designed for marketing workflows and campaign reporting

  • Enterprise clients include brands like Colgate, IKEA, and Porsche

Cons

  • Higher pricing tier; not ideal for small teams

  • Learning curve for full platform adoption

  • Visualization and reporting features are limited

  • Performance may degrade with large-scale datasets

  • Lacks reverse ETL and advanced orchestration features

Reviews & Quotes

A reviewer on Capterra:

What I like about Adverity

Ease of use, various data connection points readily available for integration and extraction, ranging from Social platforms to various DSPs. Users can easily set up a frequent data update and even connect with other dashboards like Data Studio.

Overview

Twilio Segment in Short

Twilio Segment is a customer data platform (CDP) focused on collecting, unifying, and activating customer event data across products and channels. It centralizes behavioral data from web, mobile, and server sources, and uses identity resolution to build unified customer profiles. Segment is heavily oriented toward marketing, product, and analytics use cases, offering pre-built integrations and Reverse ETL capabilities to sync cleaned data back into operational tools. While powerful for customer data workflows, Segment is less suited for teams looking for a general-purpose ELT platform.

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Pros

  • Strong real-time event tracking and data collection

  • Large catalog of fully managed marketing and product integrations

  • Identity resolution and audience management features

  • Reverse ETL powered by native integrations and dbt model sync

Cons

  • Becomes expensive quickly as usage scales

  • Not ideal as a standalone ELT platform

  • Optimized for marketing and product tools rather than general data engineering

  • Customization and complex integrations can require significant setup effort

Reviews & Quotes

A reviewer on G2 said::

What I like about Twilio 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 Twilio Segment

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

Feature-by-Feature Comparison

Feature
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adverity logo
segment 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.

adverity logo

Adverity offers a clean interface and no-code setup for ingesting marketing data, but configuring transformation logic and understanding data harmonization workflows may require technical onboarding.

segment logo

Segment offers an accessible interface for collecting and routing customer data, but advanced setups—such as identity merging, custom sources, or Reverse ETL modeling—can require more technical configuration.

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.

adverity logo

Adverity is positioned toward enterprise teams with dedicated marketing analytics functions. Pricing typically starts above $500/month and increases with data volumes and advanced feature usage.

segment logo

Segment provides a free tier, but pricing scales rapidly with event volume and advanced features. Many businesses find it expensive once usage grows or enterprise features are enabled.

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.

adverity logo

The platform offers ELT, data transformation, and quality monitoring, with a primary focus on marketing data. It does not support reverse ETL or orchestration features typical of modern data stacks.

segment logo

Segment includes real-time event tracking, identity resolution, profiles, and activation capabilities. It offers extensive sources and destinations, but it is less suited for traditional ELT or broader data engineering 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.

adverity logo

Adverity allows some transformation scripting and customization, but lacks extensibility via open APIs or full developer tooling. The platform is more suited to structured marketing workflows than custom pipeline engineering.

segment logo

While Segment is flexible for customer-data workflows, it is more limited outside those use cases. Custom pipelines, transformations, or complex modeling typically require external tools like dbt or a data warehouse.

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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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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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