Azure Data Factory vs Census comparison

Why PeerSpot?

Microsoft and Census are both solutions in the Data Integration category. Microsoft is ranked #6 with an average rating of 8.0, while Census is ranked #44 with an average rating of 9.0. Microsoft holds a 2.2% mindshare in DI, compared to Census’s 0.4% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Census users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

16,078 Views
11,255 Comparison Views

92% willing to recommend

Census

Read 3 Census reviews

1,357 Views
1,289 Comparison Views

100% willing to recommend

Azure Data Factory

Census

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Census based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Census Report (Updated: November 2026).

Buyer's Guide

Azure Data Factory vs. Census

November 2026

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Helped 921,523 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

6th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th)

Census

Ranking in Data Integration

44th

Average Rating

8.6

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 4.4% compared to the previous year. The mindshare of Census is 0.4%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Census	0.4%
Other	97.4%

Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Data activation has become faster and business teams access consistent customer insights

Census has been very useful to us as a reverse ETL layer. We have reduced engineering efforts, which has translated into tens of thousands of euros per year in avoided development and maintenance costs, faster and more accurate customer activation, and other improvements that we achieved using Census. Census is faster than our previous approach. Census has enabled faster activation of analytic data into CRM and marketing platforms in our case. Another key benefit is the elimination of manual exports and custom integration scripts, consistent customer data across analytical and operational systems. The best feature that Census offers is that it works directly on top of the data warehouse, preserving a single source of truth. Another valuable feature is that Census provides excellent support for CRM, marketing, and customer-facing platforms. Census creates a single source of truth by making the data warehouse the only place where business logic and data definition live and by ensuring that all downstream operational systems are consumers, not owners of data. All customer attributes, metrics, and segments are defined once, directly in the data warehouse, using SQL and existing data models. Census was useful for us because of the fast time to value, as new syncs can be configured and deployed quickly without custom development. It also ensures that data models are clean and well-defined in the data warehouse after we start using Census. Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days. Engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent. Maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly. From a cost perspective, reduced engineering effort translated into tens of thousands of euros per year in avoided development and maintenance costs, and faster and more accurate customer activation improved campaign effectiveness and business responsiveness.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The data copy template is a valuable feature."

"Azure Data Factory is great because it's a cloud service; you do not have to take care of the installation and configuration yourself."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"We have found the bulk load feature very valuable."

"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."

"I like Azure Data Factory, it works quite well."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

More Azure Data Factory pros

"Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days, engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent, maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly."

"Reverse ETL makes warehouse data more accessible to business teams, saves repetitive work, and helps improve the consistency of customer information across platforms."

"The catalog of connectors and the integration with dbt have made my daily work easier because, regarding the number of connectors available, there are two hundred or more connectors, so it is difficult to have a destination that does not work for you, and using the integration with dbt allows me to reuse analytical models I already have."

Cons

"Additionally, the ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features."

"I do not have any notes for improvement."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"The pricing scheme is very complex and difficult to understand."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"The setup and configuration process could be simplified."

More Azure Data Factory cons

"I would like to see more advanced data quality checks, clearer error messages when a sync fails, and easier troubleshooting for complex workflows."

"I think Census could be improved by offering some advanced custom configurations or complex mappings that may have a higher learning curve, and the cost forecasting at large scale sometimes requires too much attention, and the information provided about it could be improved."

"The areas for improvement are complex transformation logic because it must still be handled upstream in the warehouse, and cost predictability requires attention at high data volumes."

Pricing and Cost Advice

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"The cost is based on the amount of data sets that we are ingesting."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"The solution is cheap."

"The pricing model is based on usage and is not cheap."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"Understanding the pricing model for Data Factory is quite complex."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

10%

Outsourcing Company

Computer Software Company

Manufacturing Company

11%

Financial Services Firm

11%

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

No data available

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

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How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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What needs improvement with Census?

Census has been performing very well overall. One area that may need improvement is that sometimes a custom setup is very difficult to configure. This was the case with our Intercom segment setup. ...

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What is your primary use case for Census?

Census is a versatile data synchronizing solution that solves a wide range of data management problems for our business. With Census, we were able to reduce the sync time taken to transfer data fro...

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What advice do you have for others considering Census?

I would rate Census an eight out of ten according to my experience. I feel it is not quite a ten because sometimes a custom setup is very difficult to configure. This was the case with our Intercom...

See all answers

Comparisons

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Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

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Hightouch vs Census

Compared 26% of the time

MuleSoft Composer vs Census

Compared 22% of the time

SAS Data Management vs Census

Compared 10% of the time

Teradata vs Census

Compared 8% of the time

MuleSoft Anypoint Platform vs Census

Compared 8% of the time

More Census Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2026

Download Azure Data Factory product report

Buyer's Guide

Data Integration

October 2026

Download Census product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Census provides an efficient data activation platform designed to enhance business productivity by bridging data teams, marketing, and sales departments. It ensures seamless synchronization of data across various tools, empowering teams to make data-driven decisions.

Census is recognized for its transformative approach to data integration, allowing businesses to sync their data warehouses with operational applications like CRM or marketing tools. This connectivity simplifies workflow processes by enabling real-time updates and personalized customer interactions. Its user-friendly design offers an intuitive experience, reducing complexity in data management for tech-savvy professionals.

What are the standout features of Census?

Data Sync: Consistently updates data between warehouses and apps, preventing data silos.
Reverse ETL: Empowers actionable insights by converting data from warehouses to operational systems.
Identity Resolution: Merges data from multiple sources to create unified customer profiles.
Real-time Alerts: Notifies teams of updates and changes, facilitating timely responses.

What benefits and ROI should users consider for Census?

Increased Efficiency: Streamlines data processes, reducing manual tasks.
Enhanced Accuracy: Minimizes errors with automated data updates.
Improved Decision-Making: Provides actionable insights promptly with synchronized data.
Cost-Effectiveness: Lowers the need for extensive technical resources, maximizing resource utilization.

Census finds implementation across diverse industries such as retail, finance, and logistics. Retailers leverage its capabilities to personalize marketing efforts, while finance companies use it to ensure compliance and optimize operations. Logistics firms benefit from its ability to provide accurate data for supply chain optimization.

Census

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

Information Not Available

Buyer's Guide

Azure Data Factory vs. Census

November 2026

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