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Weld vs Adverity vs Census

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

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Weld vs Adverity vs Census

FeatureWeldAdverityCensus
Core Platform
Price
$79 / 5M Active Rows
$500+/month depending on data volume and feature access
Free tier available; Pro plans start around $350/month
Free tier
No
No
Yes
Location
DK, (EU)
Austria
US
Connectors & Sync
Connectors
200+
600+
130+
Extract data (ETL)
Yes
Yes
No
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
No
Governance & DevOps
Orchestration
Yes
No
Yes
Lineage
Yes
No
No
Version control
Yes
No
Yes
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
Yes
Ratings
G2 rating
4.8
4.5
4.5

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

Census in Short

Census is a reverse ETL platform that syncs data from cloud data warehouses into operational tools such as Salesforce, HubSpot, Marketo, Google Sheets, and Slack. It works directly on warehouse tables or dbt models and focuses on reliable, incremental syncing to support operational analytics and data activation use cases.

census logo

Pros

  • Warehouse-native: syncs directly from tables or dbt models

  • No-code field mapping with live previews

  • Broad destination support across CRM, marketing, and productivity tools

  • Incremental upserts help maintain clean, deduplicated records

  • Deep dbt integration and support for analytics-as-code workflows

  • Flexible scheduling with cron, triggers, and API-based execution

Cons

  • Reverse ETL only—requires a separate tool for ingestion and transformation

  • Usage-based pricing can become costly at high volumes

  • Complex logic must be handled upstream in the warehouse or dbt

  • Sync performance depends on destination API limits

  • Cloud-only platform without on-prem deployment options

Reviews & Quotes

Census Overview (G2):

What I like about Census

Census is the fastest and most reliable reverse ETL platform with strong uptime and responsive support. It delivers transformed data directly from the warehouse into operational tools without requiring complex pipelines.

Feature-by-Feature Comparison

Feature
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adverity logo
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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.

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.

census logo

Census offers a clean interface with intuitive field mapping, previews, and validation steps. Non-technical users can configure operational syncs with minimal setup.

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.

census logo

Census includes a free tier for basic use, while paid plans scale with usage. Costs can increase with high sync volumes, making it more suitable for teams with predictable operational data needs.

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.

census logo

Census focuses on reverse ETL functionality, including incremental syncs, no-code mapping, dbt model syncing, scheduling, monitoring, and alerting. It provides an API and CLI for integration into GitOps 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.

census logo

Users can sync any warehouse table or SQL model, schedule syncs flexibly, and configure failure handling. Customization is primarily driven by upstream SQL and dbt transformations, aligning with analytics-engineering workflows.

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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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