As the year draws to a close and the holiday season is approaching, we’re excited to share one more set of updates before 2025 wraps up. The Q4 release of SAP HANA Cloud delivers a focused set of innovations designed to further improve operational efficiency, resilience, developer productivity, and more.

Let’s deep dive into key innovations included in the December 2025 release:

SQL Tools for Administration in SAP HANA Cloud Central

Property Graph Viewer in Database Administration Tooling

With the Q4 release, SAP HANA Cloud Central introduces a property graph viewer directly within the database administration tooling. This viewer allows you to visually explore property graphs, where entities are represented as vertices and relationships as edges. A common example is modeling airports as vertices and flight routes as directed edges, including properties such as distance. You can apply filters to vertices and edges and enhance their analysis by applying built-in graph algorithms like neighborhood exploration, shortest path, or Cypher-based filtering.

The main value of the property graph viewer is faster understanding of complex relationships stored in graph structures. Instead of relying on raw query results, you can visually explore how entities are connected and quickly identify patterns, dependencies, or anomalies. This makes graph data more accessible not only to technical experts but also to solution architects and analysts who benefit from an intuitive, visual representation of relationships.

SQL Console Background Activities

SQL console background activities enable long-running SQL statements to continue executing independently of the browser session. You can now start a statement, close the browser, and return later to review the results without interrupting execution. This capability is fully integrated into the database administration tooling in SAP HANA Cloud Central.

This feature removes a long-standing friction point when working with complex or time-consuming SQL workloads. Administrators and developers no longer need to keep browser sessions open or worry about accidental disconnects. As a result, productivity increases, and operational tasks such as data preparation, analysis, or maintenance queries become more reliable and less disruptive.

Automatic Saving and Loading of SQL Statements

The SQL console now automatically saves its contents and connection details and restores them when you return. This behavior can be configured in the settings, allowing you to decide how persistent their SQL console sessions should be.

This enhancement provides continuity when switching tasks or sessions. You can pick up exactly where you left off, without re-establishing connections or recovering lost SQL statements. It improves day-to-day efficiency and reduces context switching, especially for administrators and developers working across multiple systems.

Application for Schemas and Deployment Infrastructure Containers

A new application in the database administration tooling provides a consolidated view of schemas and SAP HANA deployment infrastructure (HDI) containers within a subaccount. These can optionally be grouped by their associated SAP HANA database instance. You can examine detailed metadata, including Cloud Foundry organization and space information, instance IDs, and links to the associated database. From there, you can directly navigate to the database instance or open a SQL Console or database explorer connection.

This application simplifies landscape transparency for administrators. Instead of piecing together information across tools, you can quickly identify where schemas and containers live, understand their context, and jump directly into analysis or troubleshooting. This is especially valuable in larger environments with many applications and database instances.

Multi-Model and Machine Learning Updates

With the Q4 2025 release of SAP HANA Cloud, we continue to strengthen embedded Machine Learning and AI capabilities across the Predictive Analysis Library (PAL), the Automated Predictive Library (APL), and the Natural Language Processing (NLP) Services. These enhancements focus on making advanced analytics easier to use, more consistent across scenarios, and better suited for real-world business data.

Key highlights of this release are:

A new unified time series procedure, serving developers to utilize the same interface across different times series algorithmstext embedding model enhancements, supporting output vector dimensionality reduction, while maintaining retrieval accuracya new cross encoder model with the NLP services, for accurately re-ranking search resultstext column input, text embedding operators with AutoML classification and regression modelstext tokenization enhancements supporting regular expression token filtering and a new text log parsing function for detecting and determining new log patternthe HANA ML experiment monitor UI now supports visual model monitoring and drift analysis

To learn more about the new Multi-Model and Machine Learning updates, check out @ChristophMorgen‘s blogpost here.

Transforming Property Graphs into Knowledge Graphs

With the Q4 2025 release, SAP HANA Cloud introduces the ability to transform property graphs into knowledge graphs. This capability allows you to convert existing graph structures into a semantic, knowledge-graph representation without redesigning your data models from scratch. It enables you to work with different graph paradigms on top of the same underlying data.

This innovation helps you maximize data utility by seamlessly switching between property graph and knowledge graph models depending on your needs. You are no longer restricted to a single data representation and can choose the most appropriate graph model for analytics, reasoning, or integration scenarios. As a result, you gain greater operational efficiency, improved interoperability between graph models, and more flexibility in how you explore and reuse graph-based data.

Learn more about transforming property graphs into knowledge graphs on this blogpost by @shabana .

Calculation View Modeling Updates

Column Lineage Insights for Graphical Calculation Views

SAP HANA Cloud now allows you to gain column lineage insights for graphically modeled calculation views by calling an SQL table function. This capability provides transparency into how output columns are derived from underlying sources, with lineage tracked across graphical modeling steps and stopping at functions or procedures.

By making lineage information easily accessible, this feature improves model quality and trust. Developers can better understand complex models, speed up enhancements, and reduce errors during refactoring. For architects and analysts, clearer lineage increases confidence in the data and supports governance and audit requirements.

Input Parameters for Currency and Unit Conversion in MDS Cubes

Input parameters can now be used to specify client values for currency and unit conversion when working with multidimensional services (MDS) cubes. These values no longer need to be materialized, and conversions can be defined dynamically at query runtime.

This enhancement increases flexibility in analytical scenarios. You can adapt conversions based on runtime context without redesigning models or creating additional persisted data. It enables more dynamic reporting and simplifies scenarios where conversion logic depends on user input or business context.

Restricted Columns in MDS Cubes

With Q4, restricted columns can be added to MDS cubes and evaluated at query execution time. If runtime evaluation is not possible, deployment fails with a clear notification. This approach avoids mandatory materialization of input parameters while still ensuring correctness.

The key value lies in greater runtime control and reduced data preparation overhead. You can now influence how restricted columns are processed without forcing early decisions during modeling, leading to more flexible cubes and more efficient execution.

Visibility of Key Columns When Modeling Joins

When defining joins in calculation views, key columns are now visually indicated. This makes it easier to understand join semantics and identify important relationships directly in the modeling UI.

By highlighting key columns, this feature helps you create star joins with greater confidence and accuracy. It reduces modeling errors, improves data consistency, and ultimately results in higher-quality analytical models.

Left Outer Joins in Star Joins of MDS Cubes

SAP HANA Cloud now supports left outer joins in star joins for MDS cubes. This expands the range of scenarios that can be modeled using multidimensional services.

The benefit is faster adoption of MDS cubes in additional analytical use cases. You gain more flexibility in how dimensions and facts are combined, without having to fall back to alternative modeling approaches.

If you are interested in discovering more about Calculation View modeling updates, check out this blogpost by @JanZwickel.

Cloud Reliability and Total Cost of Ownership

The Q4 release of SAP HANA Cloud is also introducing significant enhancements to strengthen the service’s reliability while reduction the overal total cost of ownership at the same time.

Multi-Region Disaster Recovery

In early Q4 we extended disaster recovery capabilities beyond multiple availability zones within a single region to selected, distant regions. The initial scope focused on North America, using Amazon Web Services with a pairing between US East (VA) and US West (Oregon). Support includes SAP HANA Cloud Data Lake Files, while multi-tenancy is excluded in the initial phase.

This innovation significantly improves resilience against regional outages. By maintaining a secondary system in a distant region, customers can better protect critical workloads and ensure business continuity. The offering starts with a defined scope and will expand stepwise to additional regions, cloud providers, and features.

Synchronous replicas in a “high availability” configuration ensure increased reliability via autonomous failover capabilities to standby systems, in case of outages or other incidents.
But, such high availability setups require redundant resources, which traditionally remain idle during normal operations. With the new active/active read-enabled option, SAP HANA Cloud allows these secondary systems to actively handle read-intensive analytical workloads. In the initial scope, client-side statement routing enables applications to direct analytical queries to these replicas.

This approach improves cost efficiency and performance at the same time. You can offload analytical workloads from the primary system while still preserving full high-availability readiness. The same resources that ensure resilience now also deliver day-to-day business value.

Automatic Up-Scaling Storage

SAP HANA Cloud now supports automatic storage upscaling to prevent disk-full situations. When enabled by administrators, the system can double the initially provisioned storage size – up to a customer-defined maximum – once usage reaches 98%. Alerts notify administrators, and a minimum cycle time of six hours applies between scaling events.

This capability helps avoid critical outages caused by full disks while still keeping costs under control. Administrators gain more time to react to growing storage needs and can define clear boundaries for automatic scaling, balancing safety and predictability.

Seamless Integration with  SAP Business Data Cloud

As announced at SAP TechEd 2025, SAP HANA Cloud will integrate in a bi-directional manner with SAP Business Data Cloud, to consume and produce data products and thereby combine the best out of two solutions. While the production of data products will become available in early 2026, the consumption is now possible with our latest release.

Native Consumption of Data Products

SAP HANA Cloud can now directly consume data products from SAP Business Data Cloud. Virtual table connections are created automatically, enabling seamless access from SAP HANA Cloud to the data product source.

This integration allows customers to extend SAP line-of-business applications with custom logic while relying on governed, reusable data products. It reduces integration effort and accelerates innovation by making enterprise data easier to access and combine.

Enhancements to SQL on Files

Delta Table Replication

Direct read-only access to Delta tables in the object storage or through Delta Sharing, which has been introduced since QRC 04/2024, has offered real-time analytics on the vast volume of data in files, without moving them into SAP HANA Cloud. With QRC 04/2025, it evolves further by offering replication capability for critical datasets, enabling faster queries with greater flexibility and robust data management.

This new Delta table-to-HANA replication offers granular controls, such as chunk-based initial load, which allows splitting the data into multiple chunks and loading them separately to make the initial load more manageable. Furthermore, when it comes to Change Data Capture (CDC), it allows either user-driven, version-based CDC or system-driven, scheduled CDC for full automation. 

To learn more about SAP HANA Cloud’s new Delta table-to-HANA replication, take a look at @SeungjoonLee‘s blog post here.

Smart Data Access: Support for two new remote sources through Data Access Agent

Additionally, based on the newly introduced Smart Data Access (SDA) Data Access Agent from the last QRC 03/2025, read-only access to two new remote sources, Google Sheets and Oracle Database in the cloud, will be available from QRC 04/2025. 

The way of configuring and using them remains the same as for other previously supported remote sources, and for newly provisioned Data Access Agents, all new adapters are activated by default. To activate new adapters for a Data Access Agent that has already been provisioned and is currently in use, please refer to SAP Note 2600176 – SAP HANA Smart Data Access Supported Remote Sources for further details on how to activate them, as well as additional information on support. 

Datacenter Updates

In Q4 2025, we are announcing the availability of SAP HANA Cloud in these new BTP regions:

Italy (Milan) on AWS Germany (St. Leon-Rot) on SCI United Arab Emirates (Dubai) on SCI US West (Colorado) on SCI* Australia (Sydney) on SCI* 

* General availability is expected by the end of Q4 2025, when the respective BTP regions are planned to go live. See SAP Roadmap Explorer for details.

We continue our journey to give customers the freedom to choose their preferred infrastructure cloud provider by investing in regions on both hyperscalers and SAP Cloud Infrastructure (SCI). 

On AWS, we are announcing the availability of SAP HANA Cloud in a second European region: Italy (Milan). This establishes the technical foundation for multi-region disaster recovery within European borders. 

The first SCI region — Germany (Frankfurt) — was announced in Q3 2025, see blog post. Now, we are making SAP HANA Cloud available globally on SCI, by offering a second SCI region in Germany (with EU Access), as well as SCI regions in the U.S., Australia, and the UAE.

Further Updates

Native Multi-Tenancy: Tenant Move with Reduced Downtime

The enhanced tenant move process for SAP HANA Cloud native multi-tenancy splits the operation into a preparation phase and a short cutover phase. During preparation, tenant data is copied while the source tenant remains fully operational. Only during the final cutover is brief downtime required to apply delta changes and switch over.

This significantly reduces business downtime and gives you control over scheduling the cutover in low-impact time windows. It improves operational flexibility and minimizes risk during tenant reorganization.

Selective, Incremental Migration to SAP HANA Cloud

Selective, incremental migration allows you to migrate chosen parts of an SAP HANA 2.0 database to SAP HANA Cloud instead of moving everything at once. Migrations can be performed in smaller, manageable steps based on schemas or deployment infrastructure containers.

This approach reduces downtime, avoids migrating unused components, and makes large migrations more predictable. It allows you to better plan the transition to the cloud, while minimizing disruption.

Rule-Based Index Advisor

The new rule-based Index Advisor analyzes query usage patterns to identify index optimization opportunities. It recommends creating or dropping indexes for single-table filter queries and provides ready-to-execute SQL statements.

By automating index analysis, this feature improves performance while helping control costs. Administrators gain actionable insights without deep manual analysis, making database tuning more accessible and efficient.

Thanks for taking the time to explore the What’s New in SAP HANA Cloud on Q4 2025 innovations!

If you’d like to go deeper into the technical details of the December 2025 release, we recommend visiting the What’s New Viewer in the technical documentation. It provides a comprehensive overview of the full release scope. To stay informed about upcoming innovations, announcements, and best practices, follow the SAP HANA Cloud tag.

You can also find our latest blog posts by searching for the #whatsnewinsaphanacloud hashtag.

If you missed earlier What’s New webinars, you’ll find recordings of past sessions and upcoming events in our YouTube playlist. Our What’s New webinar covering the Q4 2025 innovations will be posted on this playlist very soon.

Do you have questions about SAP HANA Cloud or want to share your thoughts on the new features?
Join the conversation in the SAP HANA Cloud Community Q&A or leave a comment below. We’d love to hear from you!

Enjoy the holidays and have a great start into 2026!

​  As the year draws to a close and the holiday season is approaching, we’re excited to share one more set of updates before 2025 wraps up. The Q4 release of SAP HANA Cloud delivers a focused set of innovations designed to further improve operational efficiency, resilience, developer productivity, and more.Let’s deep dive into key innovations included in the December 2025 release: SQL Tools for Administration in SAP HANA Cloud CentralProperty Graph Viewer in Database Administration ToolingWith the Q4 release, SAP HANA Cloud Central introduces a property graph viewer directly within the database administration tooling. This viewer allows you to visually explore property graphs, where entities are represented as vertices and relationships as edges. A common example is modeling airports as vertices and flight routes as directed edges, including properties such as distance. You can apply filters to vertices and edges and enhance their analysis by applying built-in graph algorithms like neighborhood exploration, shortest path, or Cypher-based filtering.The main value of the property graph viewer is faster understanding of complex relationships stored in graph structures. Instead of relying on raw query results, you can visually explore how entities are connected and quickly identify patterns, dependencies, or anomalies. This makes graph data more accessible not only to technical experts but also to solution architects and analysts who benefit from an intuitive, visual representation of relationships.SQL Console Background ActivitiesSQL console background activities enable long-running SQL statements to continue executing independently of the browser session. You can now start a statement, close the browser, and return later to review the results without interrupting execution. This capability is fully integrated into the database administration tooling in SAP HANA Cloud Central.This feature removes a long-standing friction point when working with complex or time-consuming SQL workloads. Administrators and developers no longer need to keep browser sessions open or worry about accidental disconnects. As a result, productivity increases, and operational tasks such as data preparation, analysis, or maintenance queries become more reliable and less disruptive.Automatic Saving and Loading of SQL StatementsThe SQL console now automatically saves its contents and connection details and restores them when you return. This behavior can be configured in the settings, allowing you to decide how persistent their SQL console sessions should be.This enhancement provides continuity when switching tasks or sessions. You can pick up exactly where you left off, without re-establishing connections or recovering lost SQL statements. It improves day-to-day efficiency and reduces context switching, especially for administrators and developers working across multiple systems.Application for Schemas and Deployment Infrastructure ContainersA new application in the database administration tooling provides a consolidated view of schemas and SAP HANA deployment infrastructure (HDI) containers within a subaccount. These can optionally be grouped by their associated SAP HANA database instance. You can examine detailed metadata, including Cloud Foundry organization and space information, instance IDs, and links to the associated database. From there, you can directly navigate to the database instance or open a SQL Console or database explorer connection.This application simplifies landscape transparency for administrators. Instead of piecing together information across tools, you can quickly identify where schemas and containers live, understand their context, and jump directly into analysis or troubleshooting. This is especially valuable in larger environments with many applications and database instances. Multi-Model and Machine Learning UpdatesWith the Q4 2025 release of SAP HANA Cloud, we continue to strengthen embedded Machine Learning and AI capabilities across the Predictive Analysis Library (PAL), the Automated Predictive Library (APL), and the Natural Language Processing (NLP) Services. These enhancements focus on making advanced analytics easier to use, more consistent across scenarios, and better suited for real-world business data.Key highlights of this release are:A new unified time series procedure, serving developers to utilize the same interface across different times series algorithmstext embedding model enhancements, supporting output vector dimensionality reduction, while maintaining retrieval accuracya new cross encoder model with the NLP services, for accurately re-ranking search resultstext column input, text embedding operators with AutoML classification and regression modelstext tokenization enhancements supporting regular expression token filtering and a new text log parsing function for detecting and determining new log patternthe HANA ML experiment monitor UI now supports visual model monitoring and drift analysisTo learn more about the new Multi-Model and Machine Learning updates, check out @ChristophMorgen‘s blogpost here.Transforming Property Graphs into Knowledge GraphsWith the Q4 2025 release, SAP HANA Cloud introduces the ability to transform property graphs into knowledge graphs. This capability allows you to convert existing graph structures into a semantic, knowledge-graph representation without redesigning your data models from scratch. It enables you to work with different graph paradigms on top of the same underlying data.This innovation helps you maximize data utility by seamlessly switching between property graph and knowledge graph models depending on your needs. You are no longer restricted to a single data representation and can choose the most appropriate graph model for analytics, reasoning, or integration scenarios. As a result, you gain greater operational efficiency, improved interoperability between graph models, and more flexibility in how you explore and reuse graph-based data.Learn more about transforming property graphs into knowledge graphs on this blogpost by @shabana . Calculation View Modeling UpdatesColumn Lineage Insights for Graphical Calculation ViewsSAP HANA Cloud now allows you to gain column lineage insights for graphically modeled calculation views by calling an SQL table function. This capability provides transparency into how output columns are derived from underlying sources, with lineage tracked across graphical modeling steps and stopping at functions or procedures.By making lineage information easily accessible, this feature improves model quality and trust. Developers can better understand complex models, speed up enhancements, and reduce errors during refactoring. For architects and analysts, clearer lineage increases confidence in the data and supports governance and audit requirements.Input Parameters for Currency and Unit Conversion in MDS CubesInput parameters can now be used to specify client values for currency and unit conversion when working with multidimensional services (MDS) cubes. These values no longer need to be materialized, and conversions can be defined dynamically at query runtime.This enhancement increases flexibility in analytical scenarios. You can adapt conversions based on runtime context without redesigning models or creating additional persisted data. It enables more dynamic reporting and simplifies scenarios where conversion logic depends on user input or business context.Restricted Columns in MDS CubesWith Q4, restricted columns can be added to MDS cubes and evaluated at query execution time. If runtime evaluation is not possible, deployment fails with a clear notification. This approach avoids mandatory materialization of input parameters while still ensuring correctness.The key value lies in greater runtime control and reduced data preparation overhead. You can now influence how restricted columns are processed without forcing early decisions during modeling, leading to more flexible cubes and more efficient execution.Visibility of Key Columns When Modeling JoinsWhen defining joins in calculation views, key columns are now visually indicated. This makes it easier to understand join semantics and identify important relationships directly in the modeling UI.By highlighting key columns, this feature helps you create star joins with greater confidence and accuracy. It reduces modeling errors, improves data consistency, and ultimately results in higher-quality analytical models.Left Outer Joins in Star Joins of MDS CubesSAP HANA Cloud now supports left outer joins in star joins for MDS cubes. This expands the range of scenarios that can be modeled using multidimensional services.The benefit is faster adoption of MDS cubes in additional analytical use cases. You gain more flexibility in how dimensions and facts are combined, without having to fall back to alternative modeling approaches.If you are interested in discovering more about Calculation View modeling updates, check out this blogpost by @JanZwickel. Cloud Reliability and Total Cost of OwnershipThe Q4 release of SAP HANA Cloud is also introducing significant enhancements to strengthen the service’s reliability while reduction the overal total cost of ownership at the same time.Multi-Region Disaster RecoveryIn early Q4 we extended disaster recovery capabilities beyond multiple availability zones within a single region to selected, distant regions. The initial scope focused on North America, using Amazon Web Services with a pairing between US East (VA) and US West (Oregon). Support includes SAP HANA Cloud Data Lake Files, while multi-tenancy is excluded in the initial phase.This innovation significantly improves resilience against regional outages. By maintaining a secondary system in a distant region, customers can better protect critical workloads and ensure business continuity. The offering starts with a defined scope and will expand stepwise to additional regions, cloud providers, and features.We’re happy to share, that we will be extending our offering to Europe, early in January 2026. Customers will then be able to protect SAP HANA Cloud workloads across EU Central (Frankfurt) and EU South (Milan), improving resilience against regional outages with a secondary system in a predefined, geographically distant region. This expansion will help EU-based and global customers strengthen business continuity while meeting regional availability and data residency needs, with additional regions and enhancements planned based on demand.Active/Active Read-Enabled High AvailabilitySynchronous replicas in a “high availability” configuration ensure increased reliability via autonomous failover capabilities to standby systems, in case of outages or other incidents.But, such high availability setups require redundant resources, which traditionally remain idle during normal operations. With the new active/active read-enabled option, SAP HANA Cloud allows these secondary systems to actively handle read-intensive analytical workloads. In the initial scope, client-side statement routing enables applications to direct analytical queries to these replicas.This approach improves cost efficiency and performance at the same time. You can offload analytical workloads from the primary system while still preserving full high-availability readiness. The same resources that ensure resilience now also deliver day-to-day business value.Automatic Up-Scaling StorageSAP HANA Cloud now supports automatic storage upscaling to prevent disk-full situations. When enabled by administrators, the system can double the initially provisioned storage size – up to a customer-defined maximum – once usage reaches 98%. Alerts notify administrators, and a minimum cycle time of six hours applies between scaling events.This capability helps avoid critical outages caused by full disks while still keeping costs under control. Administrators gain more time to react to growing storage needs and can define clear boundaries for automatic scaling, balancing safety and predictability. Seamless Integration with  SAP Business Data CloudAs announced at SAP TechEd 2025, SAP HANA Cloud will integrate in a bi-directional manner with SAP Business Data Cloud, to consume and produce data products and thereby combine the best out of two solutions. While the production of data products will become available in early 2026, the consumption is now possible with our latest release.Native Consumption of Data ProductsSAP HANA Cloud can now directly consume data products from SAP Business Data Cloud. Virtual table connections are created automatically, enabling seamless access from SAP HANA Cloud to the data product source.This integration allows customers to extend SAP line-of-business applications with custom logic while relying on governed, reusable data products. It reduces integration effort and accelerates innovation by making enterprise data easier to access and combine. Enhancements to SQL on FilesDelta Table ReplicationDirect read-only access to Delta tables in the object storage or through Delta Sharing, which has been introduced since QRC 04/2024, has offered real-time analytics on the vast volume of data in files, without moving them into SAP HANA Cloud. With QRC 04/2025, it evolves further by offering replication capability for critical datasets, enabling faster queries with greater flexibility and robust data management.This new Delta table-to-HANA replication offers granular controls, such as chunk-based initial load, which allows splitting the data into multiple chunks and loading them separately to make the initial load more manageable. Furthermore, when it comes to Change Data Capture (CDC), it allows either user-driven, version-based CDC or system-driven, scheduled CDC for full automation. To learn more about SAP HANA Cloud’s new Delta table-to-HANA replication, take a look at @SeungjoonLee’s blog post here.Smart Data Access: Support for two new remote sources through Data Access AgentAdditionally, based on the newly introduced Smart Data Access (SDA) Data Access Agent from the last QRC 03/2025, read-only access to two new remote sources, Google Sheets and Oracle Database in the cloud, will be available from QRC 04/2025. The way of configuring and using them remains the same as for other previously supported remote sources, and for newly provisioned Data Access Agents, all new adapters are activated by default. To activate new adapters for a Data Access Agent that has already been provisioned and is currently in use, please refer to SAP Note 2600176 – SAP HANA Smart Data Access Supported Remote Sources for further details on how to activate them, as well as additional information on support.  Datacenter UpdatesIn Q4 2025, we are announcing the availability of SAP HANA Cloud in these new BTP regions:Italy (Milan) on AWS Germany (St. Leon-Rot) on SCI United Arab Emirates (Dubai) on SCI US West (Colorado) on SCI* Australia (Sydney) on SCI* * General availability is expected by the end of Q4 2025, when the respective BTP regions are planned to go live. See SAP Roadmap Explorer for details.We continue our journey to give customers the freedom to choose their preferred infrastructure cloud provider by investing in regions on both hyperscalers and SAP Cloud Infrastructure (SCI). On AWS, we are announcing the availability of SAP HANA Cloud in a second European region: Italy (Milan). This establishes the technical foundation for multi-region disaster recovery within European borders. The first SCI region — Germany (Frankfurt) — was announced in Q3 2025, see blog post. Now, we are making SAP HANA Cloud available globally on SCI, by offering a second SCI region in Germany (with EU Access), as well as SCI regions in the U.S., Australia, and the UAE. Further UpdatesNative Multi-Tenancy: Tenant Move with Reduced DowntimeThe enhanced tenant move process for SAP HANA Cloud native multi-tenancy splits the operation into a preparation phase and a short cutover phase. During preparation, tenant data is copied while the source tenant remains fully operational. Only during the final cutover is brief downtime required to apply delta changes and switch over.This significantly reduces business downtime and gives you control over scheduling the cutover in low-impact time windows. It improves operational flexibility and minimizes risk during tenant reorganization.Selective, Incremental Migration to SAP HANA CloudSelective, incremental migration allows you to migrate chosen parts of an SAP HANA 2.0 database to SAP HANA Cloud instead of moving everything at once. Migrations can be performed in smaller, manageable steps based on schemas or deployment infrastructure containers.This approach reduces downtime, avoids migrating unused components, and makes large migrations more predictable. It allows you to better plan the transition to the cloud, while minimizing disruption.Rule-Based Index AdvisorThe new rule-based Index Advisor analyzes query usage patterns to identify index optimization opportunities. It recommends creating or dropping indexes for single-table filter queries and provides ready-to-execute SQL statements.By automating index analysis, this feature improves performance while helping control costs. Administrators gain actionable insights without deep manual analysis, making database tuning more accessible and efficient.Thanks for taking the time to explore the What’s New in SAP HANA Cloud on Q4 2025 innovations!If you’d like to go deeper into the technical details of the December 2025 release, we recommend visiting the What’s New Viewer in the technical documentation. It provides a comprehensive overview of the full release scope. To stay informed about upcoming innovations, announcements, and best practices, follow the SAP HANA Cloud tag.You can also find our latest blog posts by searching for the #whatsnewinsaphanacloud hashtag.If you missed earlier What’s New webinars, you’ll find recordings of past sessions and upcoming events in our YouTube playlist. Our What’s New webinar covering the Q4 2025 innovations will be posted on this playlist very soon.Do you have questions about SAP HANA Cloud or want to share your thoughts on the new features?Join the conversation in the SAP HANA Cloud Community Q&A or leave a comment below. We’d love to hear from you!Enjoy the holidays and have a great start into 2026!   Read More Technology Blog Posts by SAP articles 

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