Palantir Foundry vs dbt comparison

dbt Labs and Palantir are both solutions in the Data Integration category. dbt Labs is ranked #18 with an average rating of 7.8, while Palantir is ranked #12 with an average rating of 8.0. dbt Labs holds a 1.7% mindshare in DI, compared to Palantir’s 2.1% mindshare. Additionally, 100% of dbt Labs users are willing to recommend the solution, compared to 88% of Palantir users who would recommend it.

dbt

Read 5 dbt reviews

1,881 Views
1,768 Comparison Views

100% willing to recommend

Palantir Foundry

Read 17 Palantir Foundry reviews

8,904 Views
3,829 Comparison Views

88% willing to recommend

dbt

Palantir Foundry

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Executive SummaryUpdated on Dec 19, 2024

Palantir Foundry and dbt compete in the data analytics and transformation category. Foundry offers broader capabilities, while dbt is simpler and more efficient for specific transformation tasks.

Features: Palantir Foundry integrates advanced data analytics, powerful collaboration tools, and comprehensive data environments, suitable for complex projects. dbt focuses on scalable, automated data modeling with strong data transformation capabilities, offering a streamlined approach for agile projects.

Ease of Deployment and Customer Service: Palantir Foundry's robust deployment requires significant resources and expertise, offering extensive support options. dbt's lightweight setup easily integrates with cloud-native architectures, supported by active community and detailed documentation, making it accessible for rapid and flexible setups.

Pricing and ROI: Palantir Foundry's comprehensive suite involves higher setup costs, aimed at enterprise-level projects, potentially achieving higher long-term ROI. dbt offers cost-effective initial setups, providing quicker ROI for small to medium-sized projects focused on data transformation and agility.

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

Buyer's Guide

Palantir Foundry vs. dbt

February 2026

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Helped 881,733 peers since 2012

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

dbt

Ranking in Data Integration

18th

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Data Quality (8th)

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)

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of dbt is 1.7%, up from 0.8% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Palantir Foundry	2.1%
dbt	1.7%
Other	96.2%

Data Integration

Featured Reviews

reviewer2780388

Senior Data Engineer at a pharma/biotech company with 10,001+ employees

Streamlined Data engineering and built-in lineages

The best features of dbt include lineage and Jinja templating languages that make it easy for creating pipelines. The built-in lineage feature provides a good understanding of the several layers where data is being loaded in dbt, allowing visibility from different layers into the end product. dbt has positively impacted version controlling as it has different version control steps involved. The specific improvements seen with version control in dbt are that it has helped trace the data lineage, enabled faster trace and rollbacks, and enabled safe collaboration at every scale, which has improved data quality. A return on investment has been seen from using dbt as the time has reduced while utilizing dbt in the form of data pipelines and ETL scripting. There is operational efficiency achieved, and data quality and governance have also been achieved with modular SQL and version controlling, which reduced duplication of data and data errors.

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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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Quotes from Members

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

Pros

"Since we migrated from SSIS to dbt model architecture, it takes around four hours only to complete a full refresh, and the client is now happy because our downtime was drastically reduced when we perform a complete refresh of the data."

"dbt has positively impacted my organization by allowing us to create our data pipelines much faster, going from ingestion of data to creating a data product in weeks instead of months, and we can do it in-house with the skillset we already have."

"There is operational efficiency achieved, and data quality and governance have also been achieved with modular SQL and version controlling, which reduced duplication of data and data errors."

"The product is developer-friendly."

"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 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."

"Encapsulates all the components without the requirement to integrate or check compatibility."

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

"Great features available in one tool."

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

"The interface is really user-friendly."

"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."

More Palantir Foundry pros

Cons

"The solution must add more Python-based implementations."

"Since dbt has a license cost, if a company is small and does not have much budget, they can explore other tools because there are other tools that provide the same functionality at a lower cost."

"Dbt is not as stable as preferred, as it has had a few outages in the current year itself, so improvement should be made in the outages section as it is not stable."

"dbt can be improved as I find the co-pilot in dbt is not very good, and my team has tried using it but opted to move off it and use other co-pilots such as GitHub."

"The solution's visualization and analysis could be improved."

"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."

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

"Cost of this solution is quite high."

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

"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."

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

"Difficult to receive data from external sources."

More Palantir Foundry cons

Pricing and Cost Advice

"The solution’s pricing is affordable."

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

"The solution’s pricing is high."

"Palantir Foundry is an expensive solution."

"It's expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Insurance Company

Computer Software Company

Manufacturing Company

14%

Financial Services Firm

10%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	5
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for dbt?

The pricing, setup cost, and licensing cost are managed by our infrastructure teams. As data engineers, we are not familiar with these details. I need to check with my infrastructure team on whethe...

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What needs improvement with dbt?

I am not very familiar with dbt's version control system. I cannot identify any improvements in dbt because I am still exploring more functionality. I have been working with dbt for only three year...

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What is your primary use case for dbt?

I am currently working with dbt and Snowflake together. We use dbt for data transformation purposes. We obtain the data and store the raw data directly into Snowflake, then perform all transformati...

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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...

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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

Comparisons

SSIS vs dbt

Compared 19% of the time

Oracle Data Integrator (ODI) vs dbt

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs dbt

Compared 7% of the time

Informatica PowerCenter vs dbt

Compared 7% of the time

SnapLogic vs dbt

Compared 3% of the time

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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

Collibra Platform vs Palantir Foundry

Compared 3% of the time

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Product Reports

Buyer's Guide

dbt

February 2026

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Buyer's Guide

Palantir Foundry

January 2026

Download Palantir Foundry product report

Overview

dbt is a transformational tool that empowers data teams to quickly build trusted data models, providing a shared language for analysts and engineering teams. Its flexibility and robust feature set make it a popular choice for modern data teams seeking efficiency.

Designed to integrate seamlessly with the data warehouse, dbt enables analytics engineers to transform raw data into reliable datasets for analysis. Its SQL-centric approach reduces the learning curve for users familiar with it, allowing powerful transformations and data modeling without needing a custom backend. While widely beneficial, dbt could improve in areas like version management and support for complex transformations out of the box.

What are the most valuable features of dbt?

SQL-Based Development: Facilitates transformations using SQL, streamlining the data modeling process.
Modularity: Encourages reusable components, making projects easier to manage and scale.
Version Control: Integrates with version control systems to track changes and collaborate effectively.
Testing Framework: Ensures data quality through automated tests, increasing trust in data outputs.

What benefits should you expect from using dbt?

Efficiency: Cuts down data processing times, allowing faster access to insights.
Collaboration: Promotes teamwork through shared data models and a common working language.
Scalability: Supports growing data demands by transforming complex data more flexibly and modularly.
Transparency: Provides clear documentation and lineage tracking, aiding in troubleshooting and understanding.

In the finance industry, dbt helps in cleansing and preparing transactional data for analysis, leading to more accurate financial reporting. In e-commerce, it empowers teams to rapidly integrate and analyze customer behavior data, optimizing marketing strategies and improving user experience.

dbt Labs

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

Sample Customers

Information Not Available

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

Buyer's Guide

Palantir Foundry vs. dbt

February 2026

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