- Recent report by AWS.
- Why AWS & Palantir are not in competition, however are instead in collaboration.
- Explanation of how Palantir & AWS work in conjunction.
- Recent report by AWS.
Within a recent research report by AWS, Palantir was mentioned within an optimistic light. AWS mentioned how: “It’s no secret that data is the most important resource available to modern institutions. Many have it in spades: structured, unstructured, transactional, geospatial, to name a few.”
In consideration of the challenges that organisations face within the context of data, Palantir Foundry not only enables generation, cataloguing and storing data, however most importantly – operationalisation of that data. Unlike Snowflake, and DataWalk, Palantir offers a holistic software solution, in comparison to individualistic one-off tools within the context of data. AWS mentioned, within their initiation note that Foundry fuses analytics with operations, leveraging write-back and learning loops to create compounding value over time.
Garner recently mentioned within a report that organisations spend over 60% of their time working on data preparation. However, with Palantir’s HyperAuto, this product can enable automate, and overall cut down the time relating towards this area, in order to move towards problem solving and empowering within the most efficient manner.
“Palantir Foundry deployed on AWS leverages core services such as Amazon Simple Storage Service (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), Amazon EC2 Auto Scaling, Elastic Load Balancing (ELB), Amazon Relational Database Service (Amazon RDS), and AWS Key Management Service (AWS KMS) to provide a scalable and cost-effective platform. AWS is also the platform of choice and innovation for 5,000+ SAP customers and hundreds of partners.”
- Why AWS & Palantir are not in competition, however are instead in collaboration.
Whilst many individuals often posit the argument forward that Palantir is within direct competition with companies such as AWS, in reality, this is misleading. Palantir through their Operating System status, enables interoperability of other solutions, such as AWS, Azure, and Snowflake. To explain with more fluency, one can “drag & drop” certain tools, features, & partnered applications onto the project. This can be done easily, meaning that the tools, features & applications communicate & work in conjunction with each other. As well as Palantir having innate tools (data visualization, AI, ML, ontology) within their platform, one can also leverage these innate tools, & use them in conjunction with partnered features & tools in order to derive the most value.
One system in which is found within large organisations is an EPR system. Organisations often have many ERP systems running on various versions due to previous merger and acquisitions. An ERP is a software solution that manages a companies financials, supply chain operations, commerce, reporting, manufacturing, and human resources activities. When an organisation undergoes various merger and acquisition procedures, often these ERP systems are meshed together in an attempt to derive value.
- Explanation of how Palantir & AWS work in conjunction.
There are 5 main layers within Palantir Foundry.
- First layer is a data integration layer. This layer integrates and collects all of the data within an organization.
- The second layer is a model integration layer. This layer enables data sets to define relationships between one another.
- Third layer, is the ontology. An ontology refers to the links and relationships between data sets within a contextualised manner.
- Fourth layer is the application building layer: this is empowered through a low/no/pro code solution. Individuals can build applications to empower the collected data.
- The final layer is the data orchestration layer in which, data can be managed, and can be used to real analysis.
Due to the innate interoperability of Palantir’s software solution, this enables individualistic tools and features from partners such as AWS, to become integrated within the OS, in order to derive the most value.
To read the full report, click here: https://aws.amazon.com/blogs/apn/scalable-and-rapid-erp-analytics-with-palantir-hyperauto-on-aws/
