Palantir AIP (Artificial Intelligence Platform) interoperates with the full expanse of data systems. This includes tools and technologies that span traditional data, analytics, governance, and operational domains—including edge devices and rugged environments. Removing traditional tradeoffs often found with full-spectrum platforms, Palantir provides a coherent and complete experience while each capability remains a discrete service intended to connect with existing or future technology investments.
Each facet of the platform maintains a firm commitment to open data formats. All data is stored in its original format, and accessible through standard interfaces—such as REST, JDBC, and secure filesystem access. Moreover, all transformed data is, by default, accessible in open formats, such as parquet. This allows for deep connectivity with existing data platforms, systems of record, and other services within existing data architectures.
Beyond integration, Virtual Tables connect to data at rest in an existing data system allowing flexible, blended approaches to managing the complex enterprise data landscape.
Learn more about this interoperable approach to data integration:
The Palantir platform provides rich integration patterns with both mandatory (e.g. attribution, lineage) and discretionary (e.g. tags, enrichments) metadata. Metadata services securely expose all metadata attributes that exist across projects, datasets, models, analyses, applications, pipeline orchestrations, resource health, and much more. This allows for deep connectivity with existing data catalogs, metadata management tools, master data management tools, and other services within existing governance architectures.
Learn more about the various types of metadata:
The Palantir Ontology pushes beyond traditional semantic definitions, and includes granular definitions for the objects, links, actions, and functions that drive complex operations. All elements in an organization’s Ontology can be accessed through REST APIs and configured through JSON-driven authoring paradigms. This allows for bidirectional synchronization with existing semantic modeling tools, ontologies resident within data catalogs, and domain-specific modeling tools.
Learn more about creating and integrating with the Ontology:
Palantir's commitment to open software standards applies across data engineering, data science, and all other code-driven authoring paradigms. All data transformation, by default, uses open languages (e.g. Python, Java, SparkSQL) that have bindings for the open runtimes (e.g. Spark, Flink) that are bundled with the platform. Moreover, all data science workflows leverage open languages (e.g. Python, R) that leverage the same open runtimes, and are designed to leverage common open formats (e.g. ONNX). Code Repositories are stored within a highly-available git service, and can be securely accessed both through UI-driven exports, and API/programmatic interactions.
Learn more about interfacing with code and logic:
The Palantir platform provides a full range of analytical tools to empower users but can also seamlessly interoperate with existing investments such as BI and data science tools. Out-of-the-box connectors are available for common systems such as Power BI®, Tableau, Jupyter, and RStudio®. These connectors enable a broad range of users to tap into integrated data, while taking advantage of best-in-class data management, model management, and governance.
In addition to data connectors, Code Workspaces provides a seamless experience working natively in Jupyter® and RStudio® inside the platform.
Learn about analytics connectors:
The platform provides robust, transparent controls across all resources in the platform. Security services are designed to leverage existing authentication systems (e.g. via SAML) for identity, and existing authorization systems (e.g. Active Directory) for permissions that can span role-based, classification-based, and purpose-based regimes. Through the Ontology SDK, permissions can be extended and managed flexibly for third-party and custom application development. Dynamic and retrospective access to all security information is possible through the platform’s REST APIs.
Learn more about interfacing with Palantir security services:
Visit the Ontology SDK and API documentation to learn more about what’s possible across the full range of integration patterns.
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