Palantir Foundry vs StreamSets comparison

Palantir and IBM are both solutions in the Data Integration category. Palantir is ranked #12 with an average rating of 7.8, while IBM is ranked #22 with an average rating of 9.0. Palantir holds a 2.3% 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 17 Palantir Foundry reviews

8,697 Views
3,827 Comparison Views

88% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,665 Views
1,919 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: January 2026).

Buyer's Guide

Palantir Foundry vs. StreamSets

January 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

12th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

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)

StreamSets

Ranking in Data Integration

22nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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 StreamSets is 1.2%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Palantir Foundry	2.3%
StreamSets	1.2%
Other	96.5%

Data Integration

Featured Reviews

SRINIVAS RATHOD

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.

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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.

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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 solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."

"Great features available in one tool."

"Live video sessions enhance the available documentation and allow you to ask questions directly."

"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."

"It's scalable."

"I rate Palantir Foundry a ten out of ten."

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

More Palantir Foundry pros

"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."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."

"It is really easy to set up and the interface is easy to use."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"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"

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."

More StreamSets pros

Cons

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

"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."

"Cost of this solution is quite high."

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

"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."

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

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

"Some error messages can be very cryptic."

More Palantir Foundry cons

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"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."

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"Visualization and monitoring need to be improved and refined."

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

More StreamSets cons

Pricing and Cost Advice

"Palantir Foundry is an expensive solution."

"The solution’s pricing is high."

"It's expensive."

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

"StreamSets is an expensive solution."

"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."

"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."

"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."

"The pricing is affordable for any business."

"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."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

10%

Government

Computer Software Company

Insurance Company

Financial Services Firm

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	8

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

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...

See all answers

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...

See all answers

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.

See all answers

What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

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

Comparisons

Cognizant AI & Analytics vs Palantir Foundry

Compared 8% of the time

Confluent vs Palantir Foundry

Compared 6% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

MuleSoft Anypoint Platform vs Palantir Foundry

Compared 3% of the time

Azure Data Factory vs Palantir Foundry

Compared 3% of the time

More Palantir Foundry Competitors

Confluent vs StreamSets

Compared 8% of the time

Informatica PowerCenter vs StreamSets

Compared 7% of the time

webMethods.io vs StreamSets

Compared 6% of the time

Oracle GoldenGate vs StreamSets

Compared 6% of the time

Azure Data Factory vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Palantir Foundry

January 2026

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Buyer's Guide

StreamSets

January 2026

Download StreamSets product report

Overview

Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.

Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.

Palantir Foundry includes tools to integrate data of any scale, format, or structure, and also has granular, flexible access controls for individual datasets. In addition, it has an open, modular architecture with multiple RESTful APIs, it has native applications for developing machine learning and artificial intelligence, it provides sophisticated data science applications for users of all technical abilities, and much more.

Palantir Foundry Features

The most valuable Palantir Foundry features include:

Security, flexibility, interoperability, easy deployment, built-in role classification, purpose-based access controls, interoperable architecture, model integration, AI modeling tools, ontology, custom workflows, team-specific applications, self-serve analytics, lineage system, operational application building, 200+ data connectors, data versioning, change management framework, sand decision orchestration, and custom dashboard and report building tools.

With Palantir Foundry You Can:

Accelerate development & operations
Collaborate globally
Save time on security
Reduce costs

Palantir Foundry Benefits

Some of the many Palantir Foundry benefits include:

Modular: Because Palantir Foundry is modular, it can integrate with existing infrastructure.
Granular governance: Robust data governance controls help ensure seamless compliance, auditability, and security.
Secure data sharing: The security infrastructure allows you to share data securely, within organizations and with chosen partners.
Rapid integration: Palantir Foundry can rapidly integrate models and data from data platforms into an operational ontology, and can also fuel existing data platforms.
Stand-alone deployment: Palantir Foundry can be deployed standalone and can provide all necessary capabilities for data connection, data integration, and model building.
Prevent lock-in: The data and model integration suites are designed to prevent lock-in, and assume that tools will be interoperating with Palantir Foundry as an organization grows.
No SQL necessary: Users do not have to use SQL queries or employ engineers to write strings in order to search petabytes of data. With Palantir Foundry, natural language is used to query data and results are returned in real-time.
Excellent data integration: Palantir Foundry provides secure, scalable, and resilient integration of all data sources.
Availability: The Palantir platform uses DNS routing, gateways and elastic load balancing to ensure availability. Dedicated accounts and virtual resources are used on a per customer basis.
Multiple metrics types: The Palantir platform provides hundreds of metrics. Some include average session length, drop-off rate, number of logins per user, number of accounts, and search speed.

Reviews from Real Users

PeerSpot users like Palantir Foundry because it has many advantages:

“It is user-friendly, good automation, and allows you to do a better job of data governance.” - Associate, Inhouse Consulting at a pharma/biotech company

“Works seamlessly with good end-to-end capabilities and the capability to scale.” - Wallace H., Sr. Director at a tech services company

Palantir

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

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

January 2026

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