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Weld vs Census vs Equals

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

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VS
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Weld vs Census vs Equals

FeatureWeldCensusEquals
Core Platform
Price
$79 / 5M Active Rows
Free tier available; Pro plans start around $350/month
Custom (not publicly disclosed)
Free tier
No
Yes
No
Location
DK, (EU)
US
US
Connectors & Sync
Connectors
200+
130+
Extract data (ETL)
Yes
No
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
No
Two-Way Sync
Yes
No
No
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
No
Lineage
Yes
No
No
Version control
Yes
Yes
No
On-Premise
No
No
No
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
No
No
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
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.

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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

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.

Overview

Equals in Short

Equals is an all-in-one GTM analytics platform that combines data ingestion, transformation, and analysis in a unified interface. It automatically syncs data from sources such as Salesforce, HubSpot, Stripe, and SQL databases into an embedded Snowflake warehouse, and presents analysis through a spreadsheet-style BI layer tailored for revenue and pipeline metrics.

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Pros

  • Integrated ELT with automated syncs for Salesforce, HubSpot, Stripe, SQL sources, and more.

  • Includes a managed Snowflake warehouse—no infrastructure setup or maintenance required.

  • Spreadsheet-based BI interface with live queries for analysis and reporting.

  • Pre-built GTM templates for pipeline, ARR, churn, and revenue metrics.

  • Slack/email alerting for scheduled or triggered notifications.

Cons

  • Primarily optimized for GTM and revenue analytics rather than broad ETL use cases.

  • Custom SQL is required for more advanced modeling or non-template scenarios.

  • Costs can increase if Snowflake consumption grows beyond base package levels.

Reviews & Quotes

From an Equals customer success story:

What I like about Equals

Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.

What I dislike about Equals

Some advanced customization options beyond the built-in GTM templates require SQL knowledge and comfort with the underlying warehouse.

Feature-by-Feature Comparison

Feature
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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.

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.

equals logo

Equals uses a spreadsheet interface familiar to analysts and operations teams, combined with direct SQL access for more technical users. GTM-focused templates accelerate dashboard creation and reduce configuration time.

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.

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.

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Equals uses a custom-quote pricing model that includes ELT, transformations, and a managed Snowflake warehouse. Costs scale with data usage and compute consumption inside Snowflake, which may increase as data volume grows.

Feature Set

Side-by-side

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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.

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.

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Key features include automated ELT from GTM systems, a built-in Snowflake warehouse, spreadsheet-based BI, pre-defined revenue dashboards, scheduling, and alerting. Designed specifically for GTM analytics workflows.

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.

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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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Users can extend beyond templates using SQL for custom transformations and modeling. Advanced customization depends on SQL proficiency, but the spreadsheet layer covers most operational analytics needs.

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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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