Palantir Data Mesh is the next evolution of modern data infrastructure — where storage is completely free.
01
Background
Gartner has recommended companies move from linear warehouses and lakes into a distributed data mesh framework in order to:
Serve data to those who need it most
Collect information from across the organization where decisions are made
Remain competitive in an increasingly complex world
02
Past Solutions
Alternative platforms charge customers to put their data in and get their data out — and the solutions themselves are insufficient.
Data warehouses
Data warehouses rely on known schema, neat hierarchies, and rigid formats to store structured data, leaving little room for flexibility.
Data lakes
Data lakes are designed for basic query and analysis — but data legibility and usability is crippled by exponential data volume.
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03
Data Mesh
Palantir Data Mesh can upgrade historical investments in data warehouses, data lakes, and other legacy infrastructure to unlock additional value. By meeting the enterprise wherever they may be along the digital modernization journey, Palantir Data Mesh seamlessly integrates the enterprise's legacy systems through its interoperable architecture and automated deployment.
Importantly, there is no charge for getting an enterprise's data into the Mesh or for getting it out. Pricing is based on flat-rate consumption — with no minimums and no extra fees.
Palantir Data Mesh turns theory into reality by embodying Gartner & Thoughtworks' four key requirements for a data mesh.
1
Domain ownership of data and architecture
Palantir Data Mesh comes with data connections to hundreds of source systems. It allows domains to combine this source data, along with models of the business, to form an operational digital twin of the enterprise. The Mesh automatically deploys and manages the infrastructure required to build and refresh these domain-produced data objects.
Palantir Data Mesh comes with data connections to hundreds of source systems. It allows domains to combine this source data, along with models of the business, to form an operational digital twin of the enterprise. The Mesh automatically deploys and manages the infrastructure required to build and refresh these domain-produced data objects.
2
Data as a product
Palantir Data Mesh automatically generates and stores pipeline code and lineage as an integrated part of each dataset — and automatically builds, deploys, and runs the code for data products. In addition, data objects contain instructions on how they are to be used and combined, enabling each domain to use data independently while all data in the Mesh remains wholly in control of the enterprise.
Palantir Data Mesh automatically generates and stores pipeline code and lineage as an integrated part of each dataset — and automatically builds, deploys, and runs the code for data products. In addition, data objects contain instructions on how they are to be used and combined, enabling each domain to use data independently while all data in the Mesh remains wholly in control of the enterprise.
3
Self-serve data infrastructure as a platform
Palantir Data Mesh provides multiple planes of infrastructure to support any type of user — including software-driven data integration, templates for common data pipeline workflows, auto-scaling of computation nodes, and more. The Mesh empowers data product developers to independently release and globally federate new data products. To keep this tightly organized and easily accessible, the Mesh also automatically forms a graph of globally connected data products, each still owned by individual domains.
Palantir Data Mesh provides multiple planes of infrastructure to support any type of user — including software-driven data integration, templates for common data pipeline workflows, auto-scaling of computation nodes, and more. The Mesh empowers data product developers to independently release and globally federate new data products. To keep this tightly organized and easily accessible, the Mesh also automatically forms a graph of globally connected data products, each still owned by individual domains.
4
Federated computational governance
Palantir Data Mesh automatically standardizes interoperability across domain objects, while also federating updates back to legacy / source systems. To address the automated decision execution requirement of this principle, the Mesh also enables ML, AI, or other logic-based decision automation that not only captures the full context surrounding those decisions, but also enables global scenario evaluation and cross-domain optimization.
Palantir Data Mesh automatically standardizes interoperability across domain objects, while also federating updates back to legacy / source systems. To address the automated decision execution requirement of this principle, the Mesh also enables ML, AI, or other logic-based decision automation that not only captures the full context surrounding those decisions, but also enables global scenario evaluation and cross-domain optimization.
04
Pricing
With Palantir Data Mesh, storage is completely free.
Palantir Data Mesh pricing is easy to understand, affordable, and completely transparent to users. There is no charge for putting data into the Mesh, and no charge for taking it out.
Flat-rate consumption
No minimums
No commitment
No extra fees
Pay only for what you use and value you create via:
Compute. Compute is the serverless fuel that drives your data connection, integration, analytical, machine learning, and operational workflows. Compute is measured as parallelized computational seconds performed in the platform by transformations, streaming jobs, live queries & models, or simulations.
Ontology volume. The ontology is the semantic backbone for your organization's end workflows. It translates data into operational outcomes, providing business-oriented data presentation layers, operational applications, scenario analysis, and closed-loop decision capture. Ontology volume, measured by GB-month, scales with the amount of data.
05
Contact
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