Databricks vs SAP

AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.

AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.

A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.

Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.

Lakehouse platform for storing, governing, querying and sharing enterprise data.

Enterprise AI gateway providing centralized cost tracking/budgets, model access (Claude, GPT, Gemini, Grok and others), security/governance (access policies, PII/PHI filtering, audit trails), smart routing and observability across an organization's AI systems.

A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.

Natural-language generative-AI copilot embedded across SAP's cloud applications, answering questions and taking actions across HR, finance, supply chain, procurement and customer-experience data.

Embedded machine learning that automates matching of incoming payments to open invoices in accounts receivable, learning continuously from accountants' correction behaviour.

End-to-end intelligent document processing for structured and unstructured business documents, using OCR, pretrained transformers and LLMs to extract and validate data, embedded across SAP applications such as Ariba, S/4HANA Cloud and Concur.

AI assistance for consultants working on SAP implementation and cloud-transformation projects, grounded in a knowledge base of SAP-focused content.

SAP's AI-first development environment for building custom AI agents, apps and workflows with low-code and pro-code tools, powered by the SAP Business AI Platform.

Embedded AI capabilities in SAP Build and ABAP Cloud that generate application code, data models, tests and UI from natural-language prompts, including an SAP-trained ABAP large language model.

Vendor-agnostic command center for discovering, inventorying, governing and evaluating AI agents, LLMs and MCP servers across SAP, Microsoft, Google, AWS, Databricks and ServiceNow, with observability, identity/access control and agent mining.

Centralized AI lifecycle management across multiple SAP AI Core runtime instances -- resource groups, generative AI prompt lifecycle, model training/deployment and consumption analytics for SAP BTP.

Unifies and governs SAP and third-party data via a business data fabric, providing the trusted data foundation for agentic AI (Joule Agents); bundles SAP Analytics Cloud, Datasphere, Business Warehouse, Databricks, HANA Cloud and Master Data Governance under one data platform.

Centralized platform for accessing SAP and third-party generative AI models through SAP AI Core, with prompt experimentation, orchestration and inference observability for building enterprise AI applications.

Sovereign cloud environment giving European enterprises and German public-sector organizations governed access to auditable LLMs from SAP and partners (including Cohere and Mistral AI), built on SAP Cloud Infrastructure to meet EU AI Act and GDPR requirements.

Connects a company's SAP data fabric to AI for grounded, hallucination-resistant answers; grounds Joule and other AI services in customer business context, with pre-populated knowledge graphs for SAP solutions.