- SAP Managed Tags
In case you missed the executive keynote by Philipp Herzig and Michael Ameling, find the replay, as well as the demo featuring some major SAP HANA Cloud announcements.
🔹Key Innovation Announcements
SAP HANA Cloud is our cloud-native database as a service, delivering in-memory performance, multi-model data processing capabilities and elastic scale for intelligent applications.
With our quarterly release cycles, SAP continuously enhances capabilities and developer tooling.
Let’s dive into the key innovation announcements from SAP TechEd 2025!
Fully Agentic Multi-Model database
As one of the most powerful multi-model database systems available today, SAP HANA Cloud is the foundation for mission critical systems and intelligent applications, unlocking hidden value from your data. With an enormous breadth of capabilities, SAP HANA Cloud can tackle an unlimited amount of use cases, from spatial and graph data analysis to applying machine learning on top of data, rapidly processing mass data, and providing a trusted foundation for generative AI scenarios.
To make these capabilities even more accessible, agents play a key role. Agents don’t only provide significant simplification for user interactions, they can also act as your companion to unlock value from powerful, domain specific tools. This is why we are happy to announce that SAP HANA Cloud goes agentic!
Agents enable everyone, from developers to administrators and beyond, to experience the full power of SAP HANA Cloud! That is possible without needing deep knowledge of the underlying data model or specialized expertise, as you’re tapping into the potential SAP HANA Cloud has to offer.
In early 2026, SAP HANA Cloud will introduce two new agents: the Discovery Agent and the Data Agent. The Discovery Agent is your companion to find and identify relevant tables, views, columns and user-defined functions for any business case. The Data Agent converts natural-language intent into executable queries (e.g., SQL) to retrieve your data of interest.
To achieve that, we are expanding the SAP HANA Cloud knowledge graph engine, with the ability to generate a custom database-objects knowledge graph on top of your individual data. Going forward, SAP HANA Cloud utilizes the knowledge graph technology to provide a solid foundation for the built-in agents. These consist of database metadata, relationship information, and details on data characteristics, so that discovery, execution, and development is accurate, context aware and seamless.
SAP HANA Cloud agents and the built-in knowledge graph, will help developers and business users find the right data through context and relationships. Enable conversational questions, and lets you derive data insights with ease. This combination turns metadata into a semantic layer for faster time-to-insight, easier data exploration, and AI-grounded analytics across SAP HANA Cloud. Quoting this year’s TechEd Keynote, SAP HANA Cloud is the Database AI was waiting for.
To get more details about SAP HANA Cloud as an agentic database, look at this blog post written by Shabana Samsudheen on “SAP HANA Cloud Becomes Agentic: Introducing Discovery Agent and Data Agent”.
Integration with Tabular AI and SAP RPT-1
In addition, SAP HANA Cloud introduces Tabular AI, a unified set of tabular‑AI services in SAP’s Generative AI Hub that can be invoked directly from the database via new SQL functions.
Key features include the support for classification, regression, forecasting and anomaly detection. It also provides SQL access to table‑native transformer models like the SAP RPT-1 for in‑context, on‑the‑fly predictions (no case‑specific retraining) - and existing SQL Vector_Embedding support to combine embeddings with tabular predictions.
Developers have the freedom of choice: Ranging from traditional database ML libraries (PAL/APL), a simple SQL prediction interface, to calling Tabular AI directly from the data layer - simplifying integration and accelerating time‑to‑value.
Tabular AI targets general availability in H2 2025 and aims to democratize predictive insights while preserving governance and scalability.
Memory for Agents
SAP HANA Cloud is not just turning into an agentic database. It is also offering foundational capabilities for modern agents and conversational interactions.
Looking ahead, SAP HANA Cloud is moving toward agentic capabilities where context and long-term memory let agents remember past queries, datasets, and results, to enable continuous, multi-turn, and more natural data conversations.
Built on SAP HANA Cloud’s trusted data management and governance, this Agentic Memory enables unified access to data and metadata, natural-language querying via MCP, context persistence across sessions, and AI-grounded, graph-enhanced exploration; positioning SAP HANA Cloud as the database for SAP’s AI-native architecture and developer workflows.
Stay tuned for more details on Memory for Agents, and how SAP HANA Cloud can extract valuable knowledge from real user interactions, to make your digital companions feel even more human!
Bi-directional integration with SAP Business Data Cloud
Also coming in 2025‑Q4, SAP HANA Cloud will be able to consume curated SAP BDC data products via joining formations with SAP Business Data Cloud (BDC) via the Unified Customer Landscape.
Installing a data product creates virtual tables in SAP HANA Cloud with SQL on Files access and embedded metadata, making datasets immediately available for advanced analytics or extension apps.
At the same time, existing SAP HANA calculation views can be imported (including semantics and model details) into the SAP BDC modelling environment for enrichment without re-development. Later on, your SAP BDC Data Product can be published, exposing a SQL port, by routing queries back to the standalone SAP HANA view.
Through that, we enable true two‑way integration. Fast access to governed SAP BDC data in SAP HANA, and a low‑risk, incremental path to publish, govern, and extend SAP HANA assets via SAP BDC, generating quick time‑to‑insight while preserving performance and control and safeguarding previous investments into SAP HANA Calculation Views.
🔹Innovation Highlights introduced since last year's SAP TechEd
The innovations announced at TechEd 2025 add to a series of major advancements delivered earlier this year. Included on this notable list of highlights are the Data Access Agent, SAP HANA Cloud on SAP Cloud Infrastructure, the Generative AI toolkit, the Knowledge Graph Engine and more.
Data Access Agent
Earlier this year, we introduced the Data Access Agent for SAP HANA Cloud strengthening our cloud-native data integration capabilities: a fully managed, cloud‑native service that extends smart data access (SDA) with JDBC‑based adapters to federate data from new sources like Azure SQL Database and Snowflake.
The agent runs separately from the SAP HANA Cloud main service, to ensure individual scalability and resilience, create virtual tables for direct SQL access, simplify operations, and enable broader in‑place analytics without moving data (federation only; no trigger‑based real‑time replication).
To learn more about the Data Access Agent, check out this blog post by Seungjoon Lee.
SAP HANA Cloud on SAP Cloud Infrastructure
Also, we announced that SAP HANA Cloud is now generally available on SAP BTP powered by SAP Cloud Infrastructure (SCI), providing an SAP‑operated deployment option alongside hyperscalers.
The first SCI region is SAP BTP Europe (Frankfurt) in EU‑Access mode. It offers in‑country hosting, enhanced data residency, and compliance, while maintaining core SAP HANA Cloud capabilities, SLAs and pricing.
To get further insights, read this blog post by Ileana Somesan.
Generative AI toolkit for SAP HANA Cloud
During last year’s executive keynote, Michael Ameling introduced the new Generative AI toolkit for SAP HANA Cloud.
Integrated into SAP Build Code, the toolkit enables SAP BTP developers to implement their business scenarios using Intelligent Data Applications. Thanks to the natural language interface, developers will find the process to create in-database machine learning models easily.
For instance, including advanced forecasts or adding additional insights to existing applications often required multi-team collaboration. Now, the toolkit’s use of automatic code generation – powered by the SAP HANA Cloud AI agent - helps casual data users benefit from SAP HANA's native ML capabilities and guides them on how to apply these powerful features themselves.
This video demonstrates how the Generative AI toolkit for SAP HANA Cloud in SAP Build can be used to create new intelligent data applications.
Knowledge Graph Engine
Let's talk about another key innovation, that we are very proud of:
In Q1 2025, we introduced the knowledge graph engine as part of SAP HANA Cloud, offering businesses a powerful tool to connect and analyze data through semantically connected relationships.
This addition to SAP HANA Cloud's multi-model data processing engines allows for smarter applications, by using data stored in knowledge graphs to answer complex questions, enhancing large language models (LLMs), and generative AI capabilities.
Key features include native RDF triple store support, interoperability between SQL and SPARQL, and the ability to create a unified view of data from scattered sources. With the new knowledge graph engine being present, our users will benefit from improved decision-making support, enhanced AI use cases, and the establishment of data fabrics for holistic data analysis.
In this blog post my dear colleague Shabana Samsudheen is giving more details about the Knowledge Graph Engine. In addition, learn how to choose between Knowledge Graphs and Property Graphs, and why both matter, in this blog post.
Elastic Compute Nodes (ECN)
Raising memory limits is only one way to support resource‑intensive intelligent workloads. As applications grow to meet business demands and handle more concurrent users and complex queries (including AI), you also need flexible compute to cope with peak workloads.
With that in mind, the Q4 2024 release of SAP HANA Cloud introduced Elastic Compute Nodes (ECNs) — a dynamic elasticity capability designed to optimize database performance by scaling compute independently of storage.
An ECN is a read‑only compute node that can be provisioned and deprovisioned on demand to match workload spikes. Typical use cases include heavy planning jobs or real‑time stock and pricing analyses during high‑traffic events like Black Friday. By adding ECNs only when needed, administrators can preserve optimal performance for average workloads while accommodating temporary bursts of activity.
ECNs are already deployed in solutions such as SAP IBP and SAP Datasphere to distribute workloads, accelerate queries with temporary tables, and reduce total cost of ownership by lowering high‑availability and disaster‑recovery overhead. Multiple ECNs can be added as required, giving teams greater flexibility in managing compute resources independently of database size.
For an overview of the concept, see the blog post by Seungjoon Lee, and for a step‑by‑step guide on getting started, refer to the in‑depth how‑to blog post.
Lightweight & Native Multitenancy
The Q4 2024 release of SAP HANA Cloud introduced native multitenancy at the database level, and is since then available for customers. This capability lets you host multiple, logically separate database tenants within a single SAP HANA Cloud instance, improving resource efficiency, while preserving strong data isolation. Each tenant is encrypted with customer-specific keys and supports tenant-level administration and lifecycle operations — including backup and recovery, tenant moves, and other management tasks — so teams can manage tenants securely and independently.
Additional features like workload management for resource contention, tenant data copy, online tenant move, and more, enable developers to build SaaS-style applications on a single SAP HANA Cloud database. This lets customers and partners deliver public-cloud application models that use infrastructure efficiently and maintain robust security controls.
For more details, see the blog post by product expert Rüdiger Karl.
File-based query processing using SQL on files
Since Q3 2024, the SAP HANA database in SAP HANA Cloud supports native SQL on Files, enabling direct SQL access to common file formats such as CSV, Parquet, Delta tables, and Apache Iceberg (Open Table Format). This lets teams run powerful analytical queries on structured data, without moving or loading it into the database, improving cost‑performance and operational flexibility.
Key features include one‑click linking to SAP HANA Cloud data lake files, creation of read‑only virtual tables for immediate querying, and table time‑travel queries to run analytics against specific versions or timestamps.
For deeper technical details, see the blog by my esteemed colleague Seungjoon Lee.
For more information on file-based architectures with SAP HANA Cloud, take a look at this blog post by my esteem colleague Seungjoon Lee.
🔹Replay our sessions and find the session slide decks
In case you have missed any TechEd 2025 sessions live, don't worry! You can meanwhile find the replays for our roadmap and strategy session online; just navigate to your content of interest via the session catalog.
Here, you can find the replays for our sessions related to SAP HANA Cloud:
ST115 | SAP HANA Cloud: The database for business AI (by Jinhee Jeong & Thomas Hammer)
Additionally, you can now also find the slide deck for download:
ST115 | SAP HANA Cloud: The database for business AI (by Jinhee Jeong & Thomas Hammer)
DA201 | Accelerating your AI strategy with SAP HANA Cloud (Christoph Morgen)
DA200 | Help future-proof your database landscape with SAP HANA Cloud (by Roman Belosludtsev)
🔹Stay connected with SAP HANA Cloud and the product team
Great innovation ahead — an agentic future is emerging for SAP HANA Cloud.
Follow the SAP HANA Cloud tag for the latest updates, and keep an eye on #whatsnewinsaphanacloud for new blog posts, deep diving into recent innovations, sharing more insights on the announced capabilities,
To dive deeper into recent innovations and latest webcasts, watch our curated YouTube playlist.
Don’t forget to join the SAP HANA Cloud Community. This is the best place to ask questions about SAP TechEd 2025 topics, explore SAP HANA Cloud more broadly, and discuss the new capabilities featured here.
Thanks for trusting SAP HANA Cloud with your data and mission-critical logic.
We’re excited to see what you build on your journey toward an agentic future! 🫶
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