Matillion Data Productivity Cloud vs SAP Data Hub comparison

The compared Matillion and SAP solutions aren't in the same category. Matillion is ranked #10 in CDI , with an average rating of 7.7, and holds a 5.7% mindshare in the category. SAP is ranked #33 in DG , and holds a 1.1% mindshare. Additionally, 92% of Matillion users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

4,709 Views
2,072 Comparison Views

92% willing to recommend

SAP Data Hub

Read 3 SAP Data Hub reviews

1,296 Views
687 Comparison Views

66% willing to recommend

Matillion Data Productivity...

SAP Data Hub

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Executive Summary

We performed a comparison between Matillion Data Productivity Cloud and SAP Data Hub based on real PeerSpot user reviews.

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Cloud Data Integration

March 2026

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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

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (10th), AI Data Analysis (14th)

SAP Data Hub

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Governance (33rd), Metadata Management (15th)

Mindshare comparison

Matillion Data Productivity Cloud and SAP Data Hub aren’t in the same category and serve different purposes. Matillion Data Productivity Cloud is designed for Cloud Data Integration and holds a mindshare of 5.7%, up 3.3% compared to last year.
SAP Data Hub, on the other hand, focuses on Data Governance, holds 1.1% mindshare, up 1.0% since last year.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Matillion Data Productivity Cloud	5.7%
AWS Glue	8.8%
AWS Database Migration Service	7.4%
Other	78.1%

Cloud Data Integration

Data Governance Mindshare Distribution
Product	Mindshare (%)
SAP Data Hub	1.1%
Microsoft Purview Data Governance	11.5%
Collibra Platform	8.6%
Other	78.8%

Data Governance

Featured Reviews

Jitendra Jena

Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights

Easy integration and workflow proposals streamline processes

The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

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Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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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

"Matillion ETL is one hundred percent stable."

"Matillion's technical support is excellent."

"The simplicity of this tool is nice, it has a good graphical user interface, and you can also do a lot of generic stuff in the tool."

"Give it a shot. See how easy it is to get started with the product, because the scripting which is required is minimal."

"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."

"The predefined connectors eliminate the need to write code for connectivity; if you have a predefined connector, it is easy to use with plug and play functionality."

"It is pretty user-friendly, even for people who aren't super technical."

"The product's initial setup phase was easy."

More Matillion Data Productivity Cloud pros

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"The most valuable feature is the S/4HANA 1909 On-Premise"

Cons

"It would be great to have the ability to move windows around to dock in different locations or external windows."

"More frequent releases are needed, due to API changes from Google, Marketo, and Facebook."

"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."

"Performance can be improved for efficiency, and it can be made faster."

"Its integration with SAP connection is not so nice, which should be improved."

"I am looking forward to seeing the expansion of the source range for their data loader product."

"It is not an end-to-end platform for ETL. To complete the pipeline, they might want to include some connectors which would put the data into different platforms."

"I am looking forward to seeing the expansion of the source range for their data loader product."

More Matillion Data Productivity Cloud cons

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"The company has everything offshore."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

Pricing and Cost Advice

"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."

"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."

"The cost of the solution is high and could be reduced."

"The AWS pricing and licensing are a cost-effective solution for data integration needs."

"I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."

"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."

"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."

"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."

More Matillion Data Productivity Cloud pricing and cost advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Construction Company

Manufacturing Company

18%

Financial Services Firm

13%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	10
Large Enterprise	11

No data available

Questions from the Community

What do you like most about Matillion ETL?

The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.

See all answers

What is your experience regarding pricing and costs for Matillion ETL?

The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.

See all answers

What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

See all answers

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Comparisons

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Informatica Intelligent Data Management Cloud (IDMC) vs Matillion Data Productivity Cloud

Compared 5% of the time

Skyvia vs Matillion Data Productivity Cloud

Compared 4% of the time

Rivery vs Matillion Data Productivity Cloud

Compared 3% of the time

More Matillion Data Productivity Cloud Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub

Compared 13% of the time

Collibra Platform vs SAP Data Hub

Compared 12% of the time

Microsoft Purview Data Governance vs SAP Data Hub

Compared 9% of the time

Palantir Foundry vs SAP Data Hub

Compared 8% of the time

Oracle Data Integrator (ODI) vs SAP Data Hub

Compared 7% of the time

More SAP Data Hub Competitors

Product Reports

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Matillion Data Productivity Cloud

March 2026

Matillion Data Productivity Cloud report

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Data Governance

March 2026

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Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

No data available

Overview

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc

Kaeser Kompressoren, HARTMANN

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March 2026

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