Complete Feature Mapping: Palantir Foundry to Azure¶
Comparative positioning note
This document is written from the perspective of Microsoft Azure, Cloud Scale Analytics, and CSA Loom. Any description of third-party or competing products, services, pricing, or capabilities is derived from publicly available documentation and sources believed accurate at the time of writing, and is provided for general comparison only. We do not claim expertise in, or authority over, any non-Microsoft product or service; the respective vendor's official documentation is the authoritative source for their offerings, which may change over time. Nothing here is intended to disparage any vendor — where a competing product has genuine advantages, we aim to note them honestly. Verify all third-party details against the vendor's current official documentation before making decisions.
The definitive feature-by-feature reference for mapping every Palantir Foundry capability to its Microsoft Azure equivalent.
Audience: Platform architects, migration leads, and technical evaluators Last updated: 2026-04-30
Summary¶
This reference maps 65 Palantir Foundry features across 10 capability domains to their Azure equivalents. Each mapping includes migration complexity, the CSA-in-a-Box evidence path (where the pattern exists in the repository), and notes on gaps or limitations.
| Metric | Count |
|---|---|
| Total features mapped | 65 |
| Full parity (XS–M effort) | 48 |
| Partial parity (L effort) | 12 |
| Known gaps (XL or roadmap) | 7 |
Migration complexity key¶
| Rating | Description | Typical effort |
|---|---|---|
| XS | Drop-in replacement or native Microsoft capability | < 1 day |
| S | Minor configuration or adaptation required | 1–3 days |
| M | Moderate development; requires design decisions | 1–3 weeks |
| L | Significant development; architectural changes | 1–3 months |
| XL | Major initiative; phased delivery | 3+ months |
1. Data layer¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 1 | Datasets | Versioned, transactional file storage for structured/unstructured data | Delta Lake on ADLS Gen2 / OneLake | S | domains/shared/dbt/models/ | Delta provides ACID transactions, versioning, and time travel |
| 2 | Multimodal Data Plane (MMDP) | Open data architecture with Iceberg, virtual catalogs, multi-engine compute | OneLake + Fabric multi-engine (Spark, SQL, KQL, Python) | M | csa_platform/unity_catalog_pattern/ | OneLake is the unified storage layer; Fabric provides multi-engine compute |
| 3 | Virtual Tables | Zero-copy access to external data without ingestion | OneLake shortcuts + Fabric mirroring + Synapse serverless | S | N/A — use Azure native | OneLake shortcuts provide zero-copy access to S3, ADLS, GCS |
| 4 | Data Connection app | Central management of all data source connections | Azure Data Factory (ADF) management hub | S | domains/shared/pipelines/adf/ | ADF provides central linked service and integration runtime management |
| 5 | Magritte connectors | 200+ pre-built connectors (databases, APIs, cloud, SaaS) | ADF 100+ built-in connectors + Logic Apps 600+ connectors | S | docs/ADF_SETUP.md | Combined ADF + Logic Apps exceeds Foundry connector count |
| 6 | Agent worker/proxy | On-premises data access via installed agent software | Self-hosted Integration Runtime (SHIR) | S | docs/SELF_HOSTED_IR.md | SHIR provides same on-prem connectivity with Windows/Linux support |
| 7 | Batch syncs | Scheduled full or incremental data pulls | ADF Copy Activity with schedule triggers | S | domains/shared/pipelines/adf/ | ADF supports full and incremental copy with watermark patterns |
| 8 | CDC syncs | Change data capture from databases | ADF CDC connector / Fabric mirroring / Debezium + Event Hubs | M | docs/patterns/streaming-cdc.md | Fabric mirroring is the simplest path for supported sources |
| 9 | Streaming syncs | Real-time data ingestion | Event Hubs + Stream Analytics / Fabric Real-Time Intelligence | M | docs/guides/event-hubs.md | Event Hubs handles millions of events/second |
| 10 | Media syncs | File, image, and document ingestion | Azure Blob Storage + Azure AI Document Intelligence | S | N/A — use Azure native | AI Document Intelligence extracts structure from documents |
| 11 | Listeners | HTTPS, WebSocket, Email push-based ingestion | Event Grid + Azure Functions (HTTP trigger) + Logic Apps | M | csa_platform/functions/eventProcessing/ | Event Grid is the native Azure event routing service |
| 12 | REST API plugins | Custom connector framework for REST sources | ADF REST connector + custom ADF activities | S | N/A — use Azure native | ADF REST connector supports auth, pagination, and transformation |
| 13 | S3-compatible access | S3 API access to Foundry data (via Iceberg) | ADLS Gen2 REST API + OneLake REST API + Azure Storage S3 proxy | S | N/A — use Azure native | OneLake provides native REST and S3-compatible access |
| 14 | JDBC access | JDBC connectivity to Foundry data | Fabric SQL endpoint / Azure SQL / Synapse serverless SQL | XS | N/A — use Azure native | Standard JDBC/ODBC drivers available for all Azure SQL services |
2. Transform and compute¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 15 | Pipeline Builder | Visual ETL designer with drag-and-drop transforms | ADF visual pipeline designer / Fabric Data Factory | M | domains/shared/pipelines/adf/ | ADF provides visual design; dbt handles transformation logic |
| 16 | Code Repositories | Web IDE with Git, branching, PRs, CI/CD | GitHub + VS Code + GitHub Actions | S | .github/workflows/deploy.yml | Standard Git workflow with richer ecosystem |
| 17 | Python transforms | PySpark with @transform decorators | dbt Python models / Fabric notebooks / Databricks notebooks | M | domains/shared/dbt/models/, domains/shared/notebooks/ | Remove Foundry decorators; use standard PySpark |
| 18 | SQL transforms | Declarative SQL transforms | dbt SQL models | S | domains/shared/dbt/models/ | dbt is a direct replacement with better testing and documentation |
| 19 | Java transforms | Spark Java API transforms | Databricks Spark jobs (Java) | M | N/A — use Databricks native | Standard Spark Java; less common in modern stacks |
| 20 | Incremental computation | Process only changed rows/files since last run | dbt incremental models / ADF incremental copy | S | domains/shared/dbt/models/ | dbt incremental materialization with merge strategy |
| 21 | Streaming (Flink) | Low-latency Flink-based streaming | Spark Structured Streaming / Stream Analytics / Fabric RTI | M | docs/patterns/streaming-cdc.md | Multiple options depending on latency requirements |
| 22 | Single-node engines | DataFusion, Polars, DuckDB for small datasets | Fabric notebooks (Polars, DuckDB) / Azure Functions | S | N/A — use Azure native | Same open-source engines available in Fabric notebooks |
| 23 | Compute Modules | Containerized BYO compute | AKS / Azure Container Apps / Azure Container Instances | M | N/A — use Azure native | Full container orchestration with more flexibility |
| 24 | External Transforms | Pipeline connectivity to external systems | ADF custom activities + Azure Functions | M | csa_platform/functions/ | Azure Functions provide serverless external compute |
| 25 | Data Expectations | Assertion-based data quality checks | dbt tests + Great Expectations + dbt contracts | S | domains/finance/data-products/invoices/contract.yaml | dbt tests are more expressive; contracts enforce at build time |
| 26 | Health Checks | Monitoring views with alerts | Azure Monitor + dbt source freshness + Data Activator | M | Built: health-check (HealthCheckEditor) — see audit-T29 | Built Loom surface wires real Azure Monitor scheduledQueryRules over Log Analytics (/rule); see docs/fiab/parity/palantir-migration-surfaces.md |
| 27 | LLM pipeline transforms | Classification, sentiment, entity extraction via LLMs | Azure OpenAI in ADF custom activities / Fabric notebooks | M | csa_platform/ai_integration/enrichment/ | Azure OpenAI provides the same LLM capabilities via API |
3. Ontology and semantic layer¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 28 | Object Types | Schema definitions for real-world entities | Purview glossary terms + dbt models (gold layer) | L | csa_platform/csa_platform/governance/purview/purview_automation.py | Requires mapping each object type to glossary term + dbt model |
| 29 | Link Types | Relationship definitions with cardinality | Foreign keys in dbt + Power BI model relationships | M | domains/shared/dbt/models/ | Standard relational modeling patterns |
| 30 | Properties | Typed attributes with classifications | Column definitions + Purview classifications | M | csa_platform/csa_platform/governance/purview/classifications/ | Four classification taxonomies shipped (PII, PHI, Gov, Financial) |
| 31 | Interfaces | Abstract type definitions enabling polymorphism | dbt abstract/base models + Purview classification hierarchies | L | N/A — use dbt patterns | Polymorphism modeled through dbt macros and base models |
| 32 | Materialization | Datasets merging input data with user edits | dbt incremental models + SCD Type 2 snapshots | M | domains/shared/dbt/models/ | Standard dimensional modeling patterns |
| 33 | Scenarios | What-if branching of the ontology | Git branches + dbt environments + Fabric workspaces | M | N/A — use Git native | Git branching provides isolation; dbt targets switch environments |
| 34 | Ontology SQL | Read-only parameterized queries over objects | Fabric SQL endpoint / Azure SQL views / Power BI DAX | S | N/A — use Azure native | Standard SQL views provide equivalent read-only access |
| 35 | Object Views | UI components for embedding ontology objects | Power BI visuals + Power Apps components + PCF | M | portal/react-webapp/src/pages/ | Multiple embedding options depending on use case |
4. Functions and actions¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 36 | TypeScript functions | Server-side TypeScript with Ontology access | Azure Functions (Node.js) + Fabric user data functions | M | csa_platform/functions/ | Remove Foundry decorators; use standard Azure SDK |
| 37 | Python functions | Server-side Python with Ontology edits | Azure Functions (Python) + Fabric notebooks | M | csa_platform/functions/ | Remove Foundry decorators; use standard Azure SDK |
| 38 | Function-backed columns | Computed properties evaluated at runtime | Power BI DAX measures / Fabric computed columns | M | csa_platform/semantic_model/ | DAX measures provide same runtime computation |
| 39 | Function-backed actions | Ontology-editing functions for action logic | Event-driven Azure Functions + Power Automate | M | csa_platform/data_activator/functions/ | Event Grid triggers Azure Functions for complex logic |
| 40 | Actions | State-changing operations with rules and side effects | Data Activator rules + Event Grid + Power Automate | L | csa_platform/data_activator/rules/ | Data Activator handles rules; Event Grid fans out to compute |
| 41 | External Functions | Call external REST APIs from Foundry | Azure API Management + Azure Functions (HTTP trigger) | S | N/A — use Azure native | APIM provides governance; Functions provide compute |
| 42 | Webhooks | Receive inbound HTTP calls from external systems | Event Grid + Azure Functions (HTTP trigger) + Logic Apps | S | csa_platform/functions/eventProcessing/ | Event Grid is the native inbound event service |
| 43 | Automate | Trigger-based automation (time, data, combined) | Power Automate + Data Activator + Azure Functions (timer) | M | csa_platform/data_activator/ | Power Automate for workflow; Data Activator for data-driven triggers |
5. Applications¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 44 | Workshop | Low-code operational app builder (60+ widgets) | Azure Container Apps + Synapse + ontology binding | L | Built: workshop-app / Atelier (WorkshopAppEditor) — see audit-T29 | Built Loom surface binds an ontology (/bind-ontology), runs actions against Synapse SQL (/run-action), hosts on Container Apps — Azure-native (no Power Apps/Power BI workspace); see docs/fiab/parity/palantir-migration-surfaces.md |
| 45 | Slate | Custom HTML/CSS/JS application framework | Azure Static Web Apps (deterministic bundle codegen) | M | Built: slate-app (SlateAppEditor) — see audit-T29 | Built Loom surface emits a deterministic Azure Static Web Apps bundle (/generate) — Azure-native; see docs/fiab/parity/palantir-migration-surfaces.md |
| 46 | Object Explorer | Ontology search, browse, drill-down | Purview Data Catalog + CSA-in-a-Box portal marketplace | M | csa_platform/data_marketplace/ | Purview provides catalog; portal provides data product browse |
| 47 | Contour | Point-and-click dataset analysis tool | Power BI reports with Direct Lake semantic models | M | csa_platform/semantic_model/ | Power BI is the industry standard; Copilot adds NL capability |
| 48 | Quiver | Ontology-aware object analysis with charts | Power BI + Fabric Copilot + Fabric Data Agent | M | csa_platform/semantic_model/ | Power BI + Copilot provides NL querying over semantic models |
| 49 | Insight | Point-and-click analysis for modeled data | Power BI with relationships + Fabric SQL endpoint | M | N/A — use Azure native | Power BI relationships enable same drill-through patterns |
| 50 | Fusion | Spreadsheet with dataset writeback | Excel + Analyze in Excel (Power BI live connection) | XS | N/A — native Microsoft | Zero new work — native Microsoft capability |
| 51 | Notepad | Collaborative rich text with embedded charts | Microsoft Loop + OneNote with embedded Power BI visuals | S | N/A — native Microsoft | Loop is the modern equivalent with real-time collaboration |
| 52 | Code Workbook/Workspaces | Notebooks (JupyterLab, RStudio) | Fabric notebooks + Databricks notebooks | S | domains/shared/notebooks/ | Standard Jupyter/VS Code notebooks with richer ecosystem |
| 53 | Vertex | System graphs, process visualization, simulation | Azure Digital Twins + Power BI custom visuals | L | N/A — use Azure native | ADT for complex system-of-systems; Power BI for simpler cases |
| 54 | Pilot | AI app generator from natural language | Copilot Studio + Power Apps AI Builder + GitHub Copilot | M | N/A — use Azure native | Multiple AI-assisted app building tools available |
| 55 | Marketplace | Product discovery, installation, management | Power Platform Environment + AppSource + managed solutions | M | N/A — use Azure native | AppSource provides similar discovery and distribution |
6. AI and AIP¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 56 | AIP (Language Model Service) | Multi-provider LLM access with governance | Azure OpenAI Service + Azure AI Foundry model catalog | M | csa_platform/ai_integration/ | Azure OpenAI provides GPT-4o, GPT-4.1, o3, o4-mini + open models |
| 57 | AIP Chatbot Studio | Agent builder with retrieval context and tools | Copilot Studio + Microsoft 365 Agents SDK | L | Gap — see CSA-0008 | Copilot Studio provides agent building; CSA Copilot on roadmap |
| 58 | AIP Logic | No-code visual LLM function builder | Azure OpenAI (typed LLM function) | M | Built: aip-logic / Spindle (AipLogicEditor) — see audit-T29 | Built Loom surface invokes a typed LLM function against live Azure OpenAI (/invoke), not Power Automate/Semantic Kernel; see docs/fiab/parity/palantir-migration-surfaces.md |
| 59 | AIP Assist | In-platform AI assistant | Microsoft 365 Copilot + GitHub Copilot | XS | N/A — native Microsoft | Available across all Microsoft apps; no migration needed |
| 60 | AIP Evals | LLM evaluation, benchmarking, test generation | Azure AI Studio evaluations + Prompt Flow eval | M | N/A — use Azure native | Prompt Flow provides evaluation pipelines with custom metrics |
| 61 | BYOM | Bring your own model (registered models) | Azure ML model registry + AI Foundry model catalog | S | csa_platform/ai_integration/model_serving/ | Standard MLflow-compatible model registry |
| 62 | Model lifecycle | Training, deployment, serving, monitoring | Azure ML pipelines + MLflow on Databricks | M | csa_platform/ai_integration/model_serving/ | Full MLOps lifecycle with experiment tracking |
7. Developer tools¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 63 | OSDK | Auto-generated TypeScript/Python/Java SDKs | Microsoft Data API Builder (DAB) | M | Built: ontology-sdk (OntologySdkEditor) — see audit-T29 | Built Loom surface generates typed TS/Python SDKs + dab-config.json over an ontology (/generate); DAB on Container Apps + APIM — Azure-native (no Graph/Fabric REST dependency); see docs/fiab/parity/palantir-migration-surfaces.md |
| 64 | Developer Console | SDK generation, OAuth, app sharing | Azure Portal + Entra ID app registrations | S | N/A — use Azure native | Standard Azure identity and app management |
| 65 | REST APIs | Programmatic access to platform resources | Azure REST APIs + Fabric REST APIs + Power BI REST APIs | S | N/A — use Azure native | Comprehensive public REST APIs with OpenAPI specs |
| 66 | VS Code Integration | Palantir VS Code extension for local dev | VS Code + Azure extensions + GitHub Copilot | S | N/A — use VS Code native | Richer extension ecosystem with AI assistance |
| 67 | Continue | AI coding assistant in Code Repositories | GitHub Copilot + GitHub Copilot Workspace | XS | N/A — native GitHub | Industry-leading AI coding assistant |
| 68 | Palantir MCP | Model Context Protocol for builder access | GitHub Copilot + Azure DevOps extensions | M | N/A — emerging capability | MCP adoption growing across Azure and Fabric |
| 69 | Ontology MCP | MCP for consumer access to ontology data | Fabric MCP server + custom MCP implementations | M | N/A — emerging capability | Fabric MCP announced; see Agentic Fabric blog |
| 70 | Global Branching | Coordinated branching across resources | Git feature branches + GitHub Environments + PR workflows | M | .github/workflows/ | Standard Git workflow with environment-based deployment |
8. DevOps and deployment¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 71 | Apollo | Continuous delivery, zero-downtime upgrades | ARM deployment history + Azure Deployment Environments | M | Built: release-environment / Shuttle (ReleaseEnvironmentEditor) — see audit-T29 | Built Loom surface reads real ARM deployment history (/arm) + drives promotions (/promote); optional Azure Deployment Environments via LOOM_DEVCENTER_PROJECT + modules/admin-plane/devcenter.bicep; see docs/fiab/parity/palantir-migration-surfaces.md |
| 72 | Product packaging | Bundle resources into installable products | Bicep modules + Helm charts + Azure Artifacts | M | deploy/bicep/ | Bicep modules provide composable infrastructure packages |
| 73 | Upgrade Assistant | Platform upgrade management | Azure Advisor + Azure Resource Graph + Dependabot | S | N/A — use Azure native | Azure Advisor provides proactive recommendations |
| 74 | Environment management | Dev, staging, production environments | Azure subscriptions + resource groups + deployment slots | S | deploy/bicep/ | Standard Azure environment isolation patterns |
9. Security and governance¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 75 | Projects | Primary security boundary | Azure resource groups + Purview collections + Fabric workspaces | S | deploy/bicep/ | Standard Azure RBAC boundaries |
| 76 | Organizations | User silos for multi-tenant separation | Entra ID tenants / management groups | S | N/A — use Azure native | Standard Azure multi-tenant patterns |
| 77 | Markings | Mandatory access controls (PII, PHI) | Purview classifications + Microsoft Information Protection | M | csa_platform/csa_platform/governance/purview/classifications/ | Four classification taxonomies shipped |
| 78 | Encryption | In-transit (TLS) and at-rest (AES-256) | Azure encryption (platform-managed or CMK) + TLS 1.3 | XS | N/A — Azure default | Encryption is default on all Azure services |
| 79 | Audit logging | Comprehensive audit trail | Azure Monitor + Log Analytics + tamper-evident audit (CSA-0016) | M | Audit logger module (CSA-0016) | CSA-in-a-Box adds tamper-evident hash-chained audit |
| 80 | Data lineage | End-to-end lineage tracking | Purview lineage + dbt DAG + ADF lineage | M | csa_platform/csa_platform/governance/purview/purview_automation.py | Auto-capture from ADF, Fabric, and dbt |
| 81 | Sensitive data scanning | Automated PII/PHI detection | Purview automated scanning + sensitivity label auto-labeling | S | csa_platform/csa_platform/governance/purview/classifications/ | Purview provides same automated scanning capability |
| 82 | Retention policies | Configurable data retention | Azure Storage lifecycle management + Purview retention | S | N/A — use Azure native | Standard storage lifecycle policies |
| 83 | Row/column security | Fine-grained data access | Fabric RLS + Power BI RLS + dynamic data masking | M | N/A — use Azure native | RLS in Power BI; column masking in Fabric/SQL |
| 84 | SSO/SAML | Identity federation | Entra ID (SAML, OIDC, WS-Fed) | XS | N/A — use Azure native | Standard federation; likely already in place |
| 85 | Checkpoint justifications | Require justification for sensitive data access | Entra Privileged Identity Management (PIM) + access reviews | M | N/A — use Azure native | PIM provides just-in-time access with justification |
10. Monitoring and observability¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 86 | Data Health | Monitoring app for resource health/freshness | Azure Monitor + dbt source freshness + Data Activator | M | N/A — use Azure native | Richer alerting and dashboard capabilities |
| 87 | Metrics | Near-real-time metrics for functions/actions | Azure Monitor metrics + Application Insights | S | N/A — use Azure native | Standard APM with distributed tracing |
| 88 | Workflow Lineage | Execution history and filtering | ADF Monitor + Azure Monitor activity logs | S | N/A — use Azure native | ADF provides visual pipeline monitoring |
| 89 | Trace views | End-to-end tracing of functions/LLM calls | Application Insights distributed tracing + OpenTelemetry | M | docs/patterns/observability-otel.md | OpenTelemetry standard with Azure Monitor backend |
| 90 | Log export | Export logs for custom dashboards | Azure Monitor diagnostic settings + Log Analytics export | S | N/A — use Azure native | Export to storage, Event Hubs, or partner tools |
| 91 | Alerts | Email, PagerDuty, Slack, Foundry notifications | Azure Monitor alerts (email, SMS, Teams, PagerDuty, Slack, webhook) | S | N/A — use Azure native | Broader notification channel support |
11. Interoperability¶
| # | Foundry feature | Description | Azure equivalent | Complexity | CSA-in-a-Box evidence | Notes |
|---|---|---|---|---|---|---|
| 92 | Power BI connector | Connect Power BI to Foundry data | Direct Lake / DirectQuery / Import (native) | XS | csa_platform/semantic_model/ | Power BI connects natively to Azure data sources |
| 93 | Tableau connector | Connect Tableau to Foundry data | Tableau connector to Azure SQL / Fabric SQL endpoint | XS | N/A — use Azure native | Standard JDBC/ODBC connection |
| 94 | Jupyter/RStudio | Notebook integration | Fabric notebooks / Databricks notebooks (native) | XS | domains/shared/notebooks/ | Native notebook support in both Fabric and Databricks |
| 95 | Consumer mode | External-facing apps with limited permissions | Power Pages + Azure AD B2C | M | N/A — use Azure native | Power Pages is purpose-built for external-facing apps |
Gap summary¶
| Gap | Foundry feature | Status | Resolution |
|---|---|---|---|
| CSA Copilot | AIP Agents / Quiver deeper NL | CSA-0008 (roadmap) | Copilot Studio provides partial coverage today |
| Object Explorer UX | Pixel-perfect ontology drill UX | CSA-0129 (partial) | Purview Data Catalog + portal marketplace |
| IL6 coverage | Classified SCI workloads | Out of scope (audit-T35) | Recommend Foundry or bespoke Azure Top-Secret tenant; csa-inabox is not authorized to IL6 / Azure Government Secret — sponsor-specific deploys only (see ADR-0001) |
| Phonograph object store | Sub-100 ms transactional ontology object store | Out of scope / by design (audit-T35, PMF-GAP-1) | Loom's real-time path is an Azure analytics pipeline (Event Hubs → Stream Analytics 100ms–2s / Real-Time Intelligence sub-second over ADX, see benchmarks), not a sub-100 ms OLTP object backbone. For low-latency editable objects pair it with Cosmos DB / Azure SQL. Disclosed in the live Real-Time hub UI. |
| Ontology writeback | Live object writeback round-trip | Out of scope / by design (audit-T35, PMF-GAP-5) | No live object writeback in the streaming path; analyst edits use a separate Power Apps form + SQL-endpoint / Fabric-notebook path (analytics-migration §7) |
| Vertex full fidelity | Complex system-of-systems simulation | N/A | Azure Digital Twins for complex cases; Power BI for simple |
| MCP ecosystem | Palantir MCP / Ontology MCP maturity | Emerging | Fabric MCP announced; ecosystem maturing rapidly |
Related resources¶
- Migration Playbook — Phased project plan and worked example
- Ontology Migration — Deep dive on migrating the Ontology
- AI Migration — Deep dive on migrating AIP
- App Migration — Widget-by-widget Workshop mapping
- Benchmarks — Performance comparisons
- TCO Analysis — Cost comparisons
audit-T29 — built CSA Loom surfaces (supersedes the doc-only mappings above)¶
The six Palantir surfaces below are no longer doc-only Azure mappings: each is a built CSA Loom item type with a focused editor, real BFF routes, and an Azure-native backend (no Microsoft Fabric / Power BI workspace required — .claude/rules/no-fabric-dependency.md). See docs/fiab/parity/palantir-migration-surfaces.md for the per-control parity matrix.
| Foundry feature | Loom item type (slug) | Editor | Real backend |
|---|---|---|---|
| Workshop | workshop-app (Atelier) | lib/editors/palantir-editors.tsx → WorkshopAppEditor | Cosmos + ontology binding (/bind-ontology), Thread edge; hosts on Container Apps |
| Slate | slate-app | SlateAppEditor | Deterministic Azure Static Web Apps bundle codegen (/generate) |
| OSDK | ontology-sdk | OntologySdkEditor | Typed TS/Python + dab-config.json codegen over an ontology (/generate); DAB on Container Apps + APIM |
| Apollo | release-environment (Shuttle) | ReleaseEnvironmentEditor | Real ARM deployment history (/arm) + promotions (/promote); optional Azure Deployment Environments (LOOM_DEVCENTER_PROJECT, modules/admin-plane/devcenter.bicep) |
| Health Checks | health-check | HealthCheckEditor | Real Azure Monitor scheduledQueryRules (/rule) over Log Analytics |
| AIP Logic | aip-logic (Spindle) | AipLogicEditor | Typed LLM function invoked against live Azure OpenAI (/invoke) |
All six appear in the + New item catalog under Fabric IQ (preview). Each defaults Azure-native and shows an honest infra-gate (MessageBar naming the env var / RBAC grant) when the backing Azure resource is not yet provisioned.
Last updated: 2026-06-10 Maintainers: CSA-in-a-Box core team