Palantir Foundry vs StreamSets comparison

Palantir and IBM are both solutions in the Data Integration category. Palantir is ranked #13 with an average rating of 8.0, while IBM is ranked #23 with an average rating of 9.5. Palantir holds a 2.1% mindshare in DI, compared to IBM’s 1.2% mindshare. Additionally, 88% of Palantir users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Palantir Foundry

Read 18 Palantir Foundry reviews

11,675 Views
4,904 Comparison Views

88% willing to recommend

StreamSets

Read 21 StreamSets reviews

3,524 Views
2,643 Comparison Views

100% willing to recommend

Palantir Foundry

StreamSets

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and Palantir Foundry compete in the data integration and pipeline management category. StreamSets has the upper hand due to its ease of use and configuration flexibility without extensive coding skill requirements.

Features: StreamSets offers ease of configuration with numerous connectors and a graphical interface, allowing the creation of data pipelines without coding. It includes features like data drift management and integration with Hadoop and Snowflake. Palantir Foundry provides integrated data visualization, comprehensive data lineage tracking, and robust real-time integration capabilities, making it a powerful end-to-end data solution.

Room for Improvement: StreamSets may improve its integration with non-Java platforms and enhance its user interface and logging capabilities. Addressing its complexity and refining the security model could benefit users. Palantir Foundry is often critiqued for its high expense and steep learning curve, with a need for better documentation and user experience improvements for non-technical users.

Ease of Deployment and Customer Service: StreamSets supports flexible deployments across various environments, with generally positive customer service but occasional variability in response times. Palantir Foundry, being largely cloud-based, offers a streamlined deployment process but receives mixed reviews on support, often relying on community resources.

Pricing and ROI: StreamSets offers diverse pricing models, including a free version, with significant ROI through reduced development time. Its extensive features can be expensive for smaller businesses. Palantir Foundry's high cost is offset by its integrated capabilities eliminating the need for multiple tools, although cost remains a concern for small enterprises seeking quick ROI.

To learn more, read our detailed Palantir Foundry vs. StreamSets Report (Updated: May 2026).

Buyer's Guide

Palantir Foundry vs. StreamSets

May 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

Palantir Foundry

Ranking in Data Integration

13th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

StreamSets

Ranking in Data Integration

23rd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.1%, down from 2.8% compared to the previous year. The mindshare of StreamSets is 1.2%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	2.1%
StreamSets	1.2%
Other	96.7%

Data Integration

Featured Reviews

Sai Arun Bandhakavi

Associate Vice President at a insurance company with 10,001+ employees

Unified data workflows have empowered collaborative analytics and streamlined AI development

Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

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SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

Read full review

Quotes from Members

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

Pros

"The AI engine that comes with Palantir Foundry is quite interesting."

"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."

"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."

"Foundry's data visualization is fantastic."

"The solution offers very good end-to-end capabilities."

"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."

"It's scalable."

"I like the data onboarding to Palantir Foundry and ETL creation."

More Palantir Foundry pros

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"This product was a lot easier to use than the one we had before it, and it took us half an hour and we were set up and running it the first time."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"In StreamSets, everything is in one place."

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"StreamSets is the leader in the market."

"The best feature that I really like is the integration."

More StreamSets pros

Cons

"Difficult to receive data from external sources."

"The solution could use more online documentation for new users."

"It requires a lot of manual work and is very time-consuming to get to a functional point."

"If you want to create new models on specific data sets, computing that is quite costly."

"Cost of this solution is quite high."

"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."

"I rate Palantir Foundry five out of 10. I'm ambivalent."

"The solution’s data security could be improved."

More Palantir Foundry cons

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA."

"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

More StreamSets cons

Pricing and Cost Advice

"The solution’s pricing is high."

"It's expensive."

"Palantir Foundry is an expensive solution."

"Palantir Foundry has different pricing models that can be negotiated."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"We are running the community version right now, which can be used free of charge."

"It has a CPU core-based licensing, which works for us and is quite good."

"It's not so favorable for small companies."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

13%

Financial Services Firm

Government

University

Financial Services Firm

11%

Insurance Company

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	5
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

Questions from the Community

What needs improvement with Palantir Foundry?

See all answers

What is your primary use case for Palantir Foundry?

There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...

See all answers

What advice do you have for others considering Palantir Foundry?

The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...

See all answers

What needs improvement with StreamSets?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

Cognizant AI & Analytics vs Palantir Foundry

Compared 6% of the time

Confluent vs Palantir Foundry

Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

MuleSoft Anypoint Platform vs Palantir Foundry

Compared 3% of the time

Databricks vs Palantir Foundry

Compared 3% of the time

More Palantir Foundry Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 8% of the time

SSIS vs StreamSets

Compared 6% of the time

Confluent vs StreamSets

Compared 6% of the time

Informatica PowerCenter vs StreamSets

Compared 5% of the time

Oracle GoldenGate vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Palantir Foundry

April 2026

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Buyer's Guide

StreamSets

April 2026

Download StreamSets product report

Overview

Palantir Foundry offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.

Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.

What are the key features of Palantir Foundry?

User-friendly interface enabling easy data governance and automation.
Real-time integration with strong data analysis and collaboration tools.
Low-code/no-code development to widen accessibility.
Digital twin capabilities for bi-directional process integration.
Strong data lineage, predictive analytics, and visualization tools.
Flexibility and customization options.

What benefits and ROI could reviews highlight?

Improved decision-making through enhanced data visibility.
Increased efficiency with automated data processes.
Broader accessibility to data insights via low-code options.
Enhanced collaboration and integration between departments.
Potential cost savings through streamlined operations.

In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.

Palantir

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

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

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

Palantir Foundry vs. StreamSets

May 2026

Free Report: Palantir Foundry vs. StreamSets

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