Palantir Foundry vs Rivery comparison

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Palantir Foundry

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Executive SummaryUpdated on Dec 3, 2024

Palantir Foundry and Rivery compete in data integration and analytics. Palantir Foundry holds an advantage with its advanced data analytics tools, but Rivery's user-friendly interface and efficient data solutions offer an appealing alternative.

Features: Palantir Foundry offers robust data integration, comprehensive analytics capabilities, and a range of tools for complex data needs. In contrast, Rivery stands out with no-code data pipeline creation, automation features, and a user-friendly experience that simplifies data operations.

Ease of Deployment and Customer Service: Rivery uses a cloud-native deployment model that simplifies integration and provides regular updates, along with a reliable support system. Palantir Foundry offers a comprehensive deployment model requiring more intricate setup, which can be resource-intensive, contrasting Rivery's simpler deployment and supportive service.

Pricing and ROI: Palantir Foundry involves higher setup costs reflecting its capabilities, with ROI taking longer due to initial investments and specialized resources. Rivery offers a cost-effective solution with quicker setup and faster ROI, thanks to its straightforward integration process.

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

Palantir Foundry vs. Rivery

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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:

ROI

Sentiment score

5.0

Palantir Foundry users reported faster implementation, increased efficiency, streamlined processes, enhanced resources, and improved productivity with comprehensive tools.

Sentiment score

5.1

Rivery improves productivity and efficiency, reducing manual work and cutting costs by enabling independent project management with fewer employees.

With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.

Suraj Otari

Data Engineering Specialist at LTM

We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.

Shaik Farooq

Consultant at a tech vendor with 1,001-5,000 employees

One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.

For more quotes and insights, download the Palantir Foundry report

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

It saved my team time and really reduced manual work, so overall, it improved efficiency.

reviewer2799567

software tester at a consultancy with 11-50 employees

By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.

reviewer2799906

Researcher at a educational organization with 11-50 employees

For more quotes and insights, download the Rivery report

Customer Service

Sentiment score

6.2

Palantir Foundry's support is praised for responsiveness and knowledge, though experiences vary; documentation aids self-resolution effectively.

Sentiment score

6.8

Rivery's support is highly rated for personalized assistance, quick feedback, and encouraging user learning despite occasional technical challenges.

They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.

Fred_Lee

Enterprise Architect at a mining and metals company with 10,001+ employees

When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.

Tahir Tahirov

Data Analyst at BP Exploration Caspian Sea Ltd

The support staff are extremely knowledgeable and good at what they are doing.

Jon H.

Operations And Integration Chief at a aerospace/defense firm with 10,001+ employees

For more quotes and insights, download the Palantir Foundry report

One significant challenge was implementing custom-built Python scripts using Rivery for transformations.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Customer support is great; they are answering really fast.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

The customer support for Rivery is excellent.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

Scalability Issues

Sentiment score

6.1

Palantir Foundry offers flexibility and scalability, efficiently managing large data, though costs and configuration may impact performance.

Sentiment score

7.0

Rivery scales effectively, integrating diverse data sources, supporting increased use, and connecting to databases and tools like Snowflake and Tableau.

We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.

For more quotes and insights, download the Palantir Foundry report

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

For scalability, I would rate it ten out of ten because you have a lot of flexibility.

Sai Arun Bandhakavi

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

Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.

Suraj Otari

Data Engineering Specialist at LTM

It has handled growing data volumes and additional pipelines without major issues.

reviewer2799567

software tester at a consultancy with 11-50 employees

The focus is on the ability to connect to different sources and to put all the data together.

reviewer2799618

Data Analyst at a computer software company with 11-50 employees

For more quotes and insights, download the Rivery report

Stability Issues

Sentiment score

7.6

Palantir Foundry is stable, with occasional issues in data handling, praised for scalability, and generally well-regarded for reliability.

Sentiment score

8.4

Rivery is stable and user-friendly, offering reliable performance with excellent support, despite occasional glitches and past slowdowns with large datasets.

Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.

reviewer2845581

Product Manager

I get more technical support from Palantir.

reviewer2845668

Data Development Manager at a healthcare company with 5,001-10,000 employees

Palantir Foundry has been a stable and reliable enterprise platform.

For more quotes and insights, download the Palantir Foundry report

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

I found the tool very easy to use, allowing me to gain a lot of insights.

reviewer2799618

Data Analyst at a computer software company with 11-50 employees

The excellent support we received from Rivery team contributes to this perception.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Room For Improvement

Palantir Foundry users seek better documentation, reduced costs, performance improvements, enhanced UI, and increased flexibility in data integration.

Rivery needs better dependency analysis, user-friendly interface, AI integration, and competitive pricing with improved analytics and visualization.

The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.

For more quotes and insights, download the Palantir Foundry report

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.

Nilesh Lahoti

Principal Architect at HCLTech

An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.

Swathi Vellachalankandy

Engineer, Data Engineering at GlobalFoundries

As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.

reviewer2799567

software tester at a consultancy with 11-50 employees

Agentic AI with open source tools can be used to build all configurations automatically for pipelines.

reviewer2799906

Researcher at a educational organization with 11-50 employees

One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Setup Cost

Palantir Foundry's high initial costs deter some, but it's cost-effective long-term; pricing varies for larger enterprises.

Rivery's pricing is competitive but can be steep for small businesses, with complex integrations increasing costs significantly.

Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.

Fred_Lee

Enterprise Architect at a mining and metals company with 10,001+ employees

In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.

reviewer2845668

Data Development Manager at a healthcare company with 5,001-10,000 employees

We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.

Nilesh Lahoti

Principal Architect at HCLTech

For more quotes and insights, download the Palantir Foundry report

I found myself asking my stakeholder to make it only five times a day because it was really expensive.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

For more quotes and insights, download the Rivery report

Valuable Features

Palantir Foundry enhances productivity with data modeling, AI integration, security, and collaborative tools for seamless multi-source integration.

Rivery excels in seamless integration, user-friendly design, and efficient data processing, appealing to various technical skill levels.

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.

SRINIVAS RATHOD

Architect at L&T Technology Services

The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.

Sai Arun Bandhakavi

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

The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.

Shaik Farooq

Consultant at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Palantir Foundry report

Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

The main benefit Rivery brought to my organization was the time we were able to save on development.

reviewer2799906

Researcher at a educational organization with 11-50 employees

Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

For more quotes and insights, download the Rivery report

Categories and Ranking

Palantir Foundry

Ranking in Data Integration

5th

Ranking in Cloud Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

IT Operations Analytics (5th), Supply Chain Analytics (1st), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

Rivery

Ranking in Data Integration

23rd

Ranking in Cloud Data Integration

16th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Migration Tools (2nd), Cloud Migration (12th)

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.0%, down from 3.0% compared to the previous year. The mindshare of Rivery is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Palantir Foundry	2.0%
Rivery	0.7%
Other	97.3%

Data Integration

Featured Reviews

Unified healthcare pipelines have improved data trust and accelerated operational decisions

PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees

One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.

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Training has boosted custom ETL scripting and now debugging complex incremental loads needs work

CDL at Ycotek

The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

Government

University

Construction Company

16%

Manufacturing Company

13%

Comms Service Provider

13%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	7
Large Enterprise	49

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What needs improvement with Palantir Foundry?

What is your primary use case for Palantir Foundry?

I use Palantir Foundry for my primary use case, which involves building and maintaining end-to-end pipelines and operational data products at UHG for our healthcare analytics team. I work on data i...

What advice do you have for others considering Palantir Foundry?

My advice would be to approach Palantir Foundry as an enterprise operational platform, not just a traditional data tool. The platform delivers the most value when organizations fully leverage its g...

What is your experience regarding pricing and costs for Rivery?

I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.

What needs improvement with Rivery?

I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...

What is your primary use case for Rivery?

My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.

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Product Reports

Palantir Foundry

Download Palantir Foundry product report

Download Rivery 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

Rivery enhances automation with its built-in pipelines, seamless Snowflake integration, and flexible data management capabilities. It supports extensive connectivity and user-defined functions, aiding efficient data flow management.

Rivery provides a robust platform for automating data ingestion and transformation workflows, integrating effortlessly into data warehouses like Snowflake. Its user-friendly interface and extensive API connectivity simplify data extraction and flow, accommodating diverse needs with custom scripting and user-defined functions. Despite its strengths, improvements are desired in lineage, impact analysis, and advanced visualization, along with better orchestration and logging capabilities. Users also seek price adjustments for smaller organizations and integration with modern AI technologies to elevate analytical capabilities.

What features does Rivery offer?

Extensive Connectivity: Supports connecting to multiple data sources including social media and databases.
Automation: Built-in pipelines simplify data flow management and transformation.
Flexibility: Custom scripting allows tailored data processing.
Snowflake Integration: Seamless integration saves time and resources.
API Connectivity: Easy connection to various APIs enhances data sourcing.

What benefits and ROI should users consider?

Time Efficiency: Automates data workflows, reducing manual tasks.
Cost Monitoring: Effective tracking of expenses related to data processes.
Responsiveness: Support team ensures quick resolution of issues.
User-Friendliness: Intuitive interface facilitates ease of use.

In industries such as retail and finance, Rivery is crucial for managing ETL processes. Retail organizations use it for integrating data from sales channels and customer databases, driving targeted marketing strategies. Finance companies rely on its robust pipelines and Snowflake integration to streamline complex financial data transformations and enhance reporting accuracy.

Sample Customers

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

Information Not Available

Palantir Foundry vs. Rivery