

Devo and Palantir Foundry are competitors in the data analytics and integration software market. While both offer robust solutions, Devo holds an edge with its cloud-first architecture and real-time analytics specifically tailored for security operations.
Features: Devo offers advanced Activeboards, real-time analytics, and a seamless multi-tenant environment, providing advantages in security operations. Its cloud-first architecture ensures scalability and efficiency, while extended log retention enhances data management. Palantir Foundry excels in data integration and transformation with strong visualization capabilities and an end-to-end tech stack encompassing robust plugin connectors and comprehensive data lineage.
Room for Improvement: Devo can improve AI capabilities, customize features better, and address pricing unpredictability. Enhancements are also needed in browser-based searches and support for third-party integrations. Meanwhile, Palantir Foundry could benefit from simplifying its setup process and enhancing front-end capabilities. Better online documentation and cost efficiency would be advantageous as well.
Ease of Deployment and Customer Service: Devo provides flexibility with various deployment options, including hybrid cloud and on-premises, while striving for responsive customer service. However, users have pointed out the need for more technical support responsiveness. Palantir Foundry focuses on public cloud deployments and prioritizes customer support, though it can improve its escalation process.
Pricing and ROI: Devo's pricing model based on data ingestion, though potentially leading to higher costs, offers budgeting predictability, and users appreciate its infrastructure cost savings. Palantir Foundry's pricing is perceived as high, but the value from its integration capabilities can justify the expense. Both aim to optimize ROI by reducing mean time to remediation, with Devo's model offering notable flexibility and cost benefits for different organization sizes.
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.
I rate the customer support a nine out of ten because of their timely technical guidance and responsiveness during the deployment and troubleshooting periods.
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
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.
The support staff are extremely knowledgeable and good at what they are doing.
Devo is a unified SIEM solution designed to handle growing log volumes and enterprise-scale monitoring requirements.
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 scalability, I would rate it ten out of ten because you have a lot of flexibility.
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
It is stable and reliable for our security operations.
Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.
I get more technical support from Palantir.
Palantir Foundry has been a stable and reliable enterprise platform.
This is particularly evident when dealing with failed login attempts and determining true versus false positives.
UI improvements, a simplified dashboard, or an easier reporting workflow could further improve analyst productivity.
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.
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.
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.
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
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.
We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
When the analyst uses queries to search, it pulls the data quickly, in a second, which aids us greatly with the investigation.
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 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.
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.
| Product | Mindshare (%) |
|---|---|
| Palantir Foundry | 3.9% |
| Devo | 4.6% |
| Other | 91.5% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 49 |
Devo offers powerful visual analytics, real-time data querying, and log integration capabilities within a cloud-native, multi-tenant architecture, supporting extended data retention ideal for long-term analysis and compliance.
Devo is recognized for its Activeboards, which facilitate visual analytics. High-speed search capabilities and real-time analytics enable efficient data manipulation and querying. Its multi-tenant architecture supports effective data segregation and customization tailored to distinct business needs, enhancing its value for handling complex log integrations. With extended data retention of 400 days and a cloud-native architecture, Devo is a robust platform for long-term analysis and compliance requirements. Though opportunities exist to improve browser stability on large searches, SOAR integrations, and its parser capabilities, Devo remains essential for incident response and security monitoring, offering centralized data storage and analysis.
What are Devo's most important features?Devo is extensively used in industries focused on incident response and digital forensics, centralizing data for security monitoring across hybrid environments. Organizations benefit from its ability to store and analyze aggregated logs, creating alerts and dashboards to enhance visibility for network and endpoint activities in multi-domain settings.
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?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.
We monitor all IT Operations Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.