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Palantir Foundry vs SAP Analytics Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Palantir Foundry
Ranking in Data Integration
12th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
SAP Analytics Hub
Ranking in Data Integration
50th
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (30th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.3%, down from 2.5% compared to the previous year. The mindshare of SAP Analytics Hub is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Palantir Foundry2.3%
SAP Analytics Hub0.5%
Other97.2%
Data Integration
 

Featured Reviews

SR
Architect at L&T Technology Services
Finds security and customization features impressive, although cost concerns persist
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms. Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use. The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable. I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security. The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database. The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.
Nitesh Agrawal - PeerSpot reviewer
Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.
Integration and security have improved, but search functionality and clarity of future direction need enhancement
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

Quotes from Members

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

Pros

"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"It's scalable."
"The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The interface is really user-friendly."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."
"This product provides good reports using a single pane of glass."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
 

Cons

"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users."
"Some error messages can be very cryptic."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"The workflow could be improved."
"The solution could use more online documentation for new users."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"The interface can be simplified because it is not a user-friendly experience."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."
"The technical support for Analytics Hub is limited and could be improved."
 

Pricing and Cost Advice

"Palantir Foundry is an expensive solution."
"It's expensive."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"The product is expensive."
"It is an expensive solution."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"The pricing is reasonable."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
7%
Manufacturing Company
15%
Transportation Company
7%
Retailer
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
 

Questions from the Community

What needs improvement with Palantir Foundry?
Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything out...
What is your primary use case for Palantir Foundry?
One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves hig...
What advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
What is your experience regarding pricing and costs for SAP Analytics Hub?
The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.
What needs improvement with SAP Analytics Hub?
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data l...
What advice do you have for others considering SAP Analytics Hub?
When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...
 

Overview

 

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
STIB-MIVB
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