Weld logo

Weld vs Census vs Jitterbit

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

weld logo
VS
census logo
VS
jitterbit logo

Loved by data teams from around the world

Weld vs Census vs Jitterbit

FeatureWeldCensusJitterbit
Core Platform
Price
$79 / 5M Active Rows
Free tier available; Pro plans start around $350/month
Subscription-based (custom quotes; starts ~$25k/year)
Free tier
No
Yes
No
Location
DK, (EU)
US
Oakland, CA, USA
Connectors & Sync
Connectors
200+
130+
100+
Extract data (ETL)
Yes
No
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
Yes
Two-Way Sync
Yes
No
Yes
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
Yes
Lineage
Yes
No
No
Version control
Yes
Yes
Yes
On-Premise
No
No
Yes
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
No
Yes (Excel connector)
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.5
4.3

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

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

Jitterbit in Short

Jitterbit Harmony is a cloud-based integration platform that supports ETL, ELT, API integration, and application connectivity. Users design integrations—called Jitterpaks—using a visual interface. Jitterbit provides pre-built connectors for SaaS applications such as Salesforce and NetSuite, on-prem databases, and flat files. It also enables real-time API creation from existing data sources and supports transformations using mapping tools, SQL, or scripting.

jitterbit logo

Pros

  • Pre-built connectors for CRM, ERP, databases, flat files, and the ability to build custom connectors via SDK.

  • API creation capabilities to turn data flows into REST or SOAP endpoints.

  • Visual interface (Jitterbit Studio) with drag-and-drop mapping and transformation steps.

  • Supports both real-time and batch processing; hybrid deployment available via cloud or local runtimes.

Cons

  • Complex licensing structure based on endpoints, environments, and usage, which can be costly for larger deployments.

  • Studio interface is less modern and can become unwieldy for very large pipelines.

  • Advanced transformations may require scripting rather than purely GUI-driven logic.

Reviews & Quotes

Jitterbit Harmony Overview:

What I like about Jitterbit

Jitterbit’s Studio UI makes building integrations straightforward, and the API creation feature lets us expose data to external apps quickly.

What I dislike about Jitterbit

Pricing is tiered and can be high as you add more endpoints or data volume. Complex transformations sometimes require scripting, despite the low-code interface.

Feature-by-Feature Comparison

Feature
weld logo
census logo
jitterbit 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.

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.

jitterbit logo

Jitterbit Studio is a desktop-based (Java) interface with a design canvas for mapping and pipeline creation. It supports testing and scripting in-app. The UI is functional but can feel dated or slow when managing complex flows.

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.

jitterbit logo

Pricing is based on endpoints, environments, and data throughput. Entry-level usage typically begins around $25k/year. Costs can increase significantly for larger teams or high-volume workloads.

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.

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.

jitterbit logo

Key features include ETL/ELT pipelines, API creation, real-time event triggers, hybrid deployment, pre-built templates (Jitterpaks), and monitoring dashboards. Additional capabilities include multi-environment promotion and CI/CD integration.

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.

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.

jitterbit logo

Users can write custom logic in JavaScript or VBScript and build custom connectors through the Jitterbit SDK. Hybrid deployment supports both cloud and on-prem runtimes. Most complex workflows can be customized but may require scripting.

Compare more ETL tools

Select up to three tools to compare.

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

Get started with Weld

Spend less time managing data and more time getting real insights.