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AllCAPBTPUI5ABAP
ServiceServicetypeA BTP service you subscribe to and bind, rather than install. It has plans and regions, not versions, and may deliver a product that lives outside the atlas.See every one →What this type is →by SAPby SAPoriginPublished by SAP itself. A visible facet, never an input to a reading — a dormant official plugin reads exactly like a dormant independent one.See every one →

SAP HANA Cloud

The managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.

It is the least visible entry on this door and the one most things depend on. A CAP service deployed to BTP runs against it by default, which is why @cap-js/hana exists and why the choice of any other database is a decision worth naming. The documentation is organised by component rather than as one product, so what you provision is a set of parts and a plan.

Homepage
What’s New

Where it sits

Lives in
BTP/BAIP
Provides
Database connectorsBTPCAPDatabase connectorscapabilityConnecting an application’s data model and queries to a database, including the differences in supported queries, types and schema management between database implementations. Changing an existing schema belongs to [schema evolution](capability:schema-evolution).Retrieval-augmented generationBTPCAPRetrieval-augmented generationcapabilityGrounding a model's answer in data retrieved at question time: text split into chunks, each chunk embedded as a vector, and the chunks nearest to the question placed into the prompt. Semantic search is the same retrieval with a person reading the matches, and fine-tuning changes the model's weights, not its input.Database administrationBTPDatabase administrationcapabilityRunning the database a project uses once it exists: watching its health and performance, managing users and their access privileges, and keeping backups that a recovery can rest on. Connecting an application to the database is [database connectors](capability:database-connectors), moving files in and out of tables is [importing and exporting table data](capability:data-import-export), and what the instance costs is [consumption monitoring](capability:consumption-monitoring).
Serves
CAP
Designs
Agentic AI & AI AgentsAgentic AI & AI Agentsreference architectureVector Engine for semantic retrieval and RAG, Knowledge Graph Engine for reasoning over SAP business objectsAgentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP Extensionsreference architecturePersistenceGenerative AI on SAP BTPGenerative AI on SAP BTPreference architecturestores data and embeddings for similarity search through its Vector EngineMultitenant SaaS Application using CAPMultitenant SaaS Application using CAPreference architecturetenant data

Before choosing this

Conditions

PracticalFunctional boundary

Provisioned per plan and per component, so capacity and cost are decisions taken before any model exists. And it is the database, not a warehouse — modelling, loading and cataloguing are the products above it, and reaching it directly bypasses every semantic they add.

What it declares

Every artifact

Type
Service
Origin
By SAP

As a service

Plans
16
Regions
46
Support component
HAN-CLS-HC

Tasks this contributes to1Beta

Retrieval-augmented generation1
Answer a question from records in a CAP serviceA question asked in plain words is answered from rows the CAP model already holds: the records nearest to the question in meaning are found and put in front of a language model, so the answer rests on those records rather than on what the model remembers.Covers, under conditionsvector store and embedding function
What it does

Holds the vectors in the same database as the records: REAL_VECTOR is an SQL data type of the vector engine, and COSINE_SIMILARITY and L2DISTANCE are its functions, which is what the CDS Vector type and the CQL functions map to. capire adds where the embedding model itself comes from on this database, the NLP extension or an SAP AI Core remote source, so the text-to-vector step can run inside the database rather than in the application.

Conditions

The application's database is SAP HANA Cloud. On the CAP-native way that is the way itself. On the way through @saptarishi/cds-plugin-vector-hana it is the store's HANA backend rather than the SQLite fallback the README ships for a laptop, and that README says the HANA backend is verified against a mock client and not yet against a HANA Cloud instance.

Remaining work

Provision the database and, for vector_embedding, make an embedding model reachable from it. Nothing here retrieves for a question or writes a prompt.

All options on the Retrieval-augmented generation page →

Connections39

Download
SAP HANA Cloud connectionsSAP HANA CloudPROVIDES→ provides3provides stated Ships the administration tools for its own instances: SAP HANA Cloud Central to provision, monitor and manage them, and the SAP HANA Database Explorer for SQL, schemas and diagnostic queries, with backups taken automatically. SAP HANA Cloud, SAP HANA Database Administration Guide: https://help.sap.com/docs/hana-cloud-database/sap-hana-cloud-sap-hana-database-administration-guide/sap-hana-cloud-sap-hana-database-administration-guide SAP HANA Cloud, SAP HANA Database Administration Guide: https://help.sap.com/docs/hana-cloud-database/sap-hana-cloud-sap-hana-database-administration-guide/sap-hana-cloud-sap-hana-database-administration-guideDatabase administrationprovides authored Is the default a CAP model runs against on BTP, and the store the analytical products above it are built on — the option every other database choice is a departure from. SAP HANA Cloud — SAP Help Portal: https://help.sap.com/docs/hana-cloudDatabase connectorsprovides stated Supplies the vector half of the concern: the REAL_VECTOR column and the similarity search functions of its Vector Engine, inside the same database the records live in, so embeddings sit beside the rows they describe. SAP HANA Cloud — SAP BTP AI Best Practices, Technologies: https://btp-ai-bp.docs.sap/docs/technology/sap-hana-cloud SAP HANA Cloud — SAP BTP AI Best Practices, Technologies: https://btp-ai-bp.docs.sap/docs/technology/sap-hana-cloudRetrieval-augmented generationUSED BY← connected from7connected from derived If: @sap/hana-client is not added to the project's dependencies; added, it takes precedence over hdb. The application's reads and writes, through the hdb driver by default, with the credentials `cds watch`/`run` fetch from the binding at runtime. Through: inverted from its connects edge Using SAP HANA Cloud for Production — capire, other drivers: https://raw.githubusercontent.com/cap-js/docs/main/guides/databases/hana.md Using SAP HANA Cloud for Production — capire, cds deploy: https://raw.githubusercontent.com/cap-js/docs/main/guides/databases/hana.md Using SAP HANA Cloud for Production — capire, other drivers: https://raw.githubusercontent.com/cap-js/docs/main/guides/databases/hana.md@cap-js/hanaifconnected from derived writes the embedding of a Business Partner record and reads the nearest rows back for a question Through: inverted from its connects edge miyasuta/cap-bp-rag — README, ingestion flow: https://github.com/miyasuta/cap-bp-rag miyasuta/cap-bp-rag — README, query flow: https://github.com/miyasuta/cap-bp-ragcap-bp-ragconnected from derived copying the extracted SAP IQ data files into the data lake file store and loading the schema and data into the data lake Relational Engine. Through: inverted from its connects edge SAP-samples/iq-to-hdl-migration — README, Migration Folder: https://github.com/SAP-samples/iq-to-hdl-migration SAP-samples/iq-to-hdl-migration — README, Description: https://github.com/SAP-samples/iq-to-hdl-migrationiq-to-hdl-migrationconnected from derived The embeddings the service writes to the vector store, and the stored rows `scienceData` reads back. Through: inverted from its connects edge SAP-samples/sap-btp-ai-best-practices — vector-rag-embedding/cap/backend-sample README: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-embedding/cap/backend-sample/README.md SAP-samples/sap-btp-ai-best-practices — vector-rag-embedding/cap/backend-sample README, project structure: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-embedding/cap/backend-sample/README.mdSAP BTP AI Best Practice Demo - VectorEmbedding (RAG) - CAPconnected from derived The similarity search over the stored vectors, and the top-matching documents it returns. Through: inverted from its connects edge SAP-samples/sap-btp-ai-best-practices — vector-rag-query/cap/backend-sample README: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-query/cap/backend-sample/README.md SAP-samples/sap-btp-ai-best-practices — vector-rag-query/cap/backend-sample README, usage: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-query/cap/backend-sample/README.mdSAP BTP AI Best Practice Demo - VectorQuery (RAG) - CAPconnected from derived keeps tenant-isolated metadata and structured extraction results Through: inverted from its connects edge RA0030 readme.md in SAP/architecture-center: https://raw.githubusercontent.com/SAP/architecture-center/main/docs/ref-arch/RA0030/readme.mdSAP Document AIconnected from derived reading business data from an SAP HANA Cloud instance when it is the configured HANA source Through: inverted from its connects edge sap-knowledge-pipeline README: https://github.com/yassinbahri/sap-knowledge-pipelinesap-knowledge-pipeline← needed by12needed by derived The SAP HANA Cloud database bound to the target app, which every query runs against. Through: inverted from its requires edge dongitran/saptools — packages/cf-hana/README.md: https://github.com/dongitran/saptools/blob/main/packages/cf-hana/README.md@saptools/cf-hananeeded by derived The database whose service binding it converts; the parser reads bindings under the hana label only. Through: inverted from its requires edge dongitran/saptools — packages/sqltools/README.md: https://github.com/dongitran/saptools/blob/main/packages/sqltools/README.md@saptools/sqltoolsneeded by derived An instance in the source subaccount is one of the prerequisites the setup lists, before the tool is deployed. Through: inverted from its requires edge Transporting role collections between BTP subaccounts Part1 : Custom tool — SAP Community: https://community.sap.com/t5/technology-blog-posts-by-members/transporting-role-collections-between-btp-subaccounts-part1-custom-tool/ba-p/13538208auth-transportneeded by derived the vector store: the 1536-dimension embedding column sits there and the similarity search runs there, and the production profile binds the hana database kind Through: inverted from its requires edge miyasuta/cap-bp-rag — README: https://github.com/miyasuta/cap-bp-rag miyasuta/cap-bp-rag — package.json: https://raw.githubusercontent.com/miyasuta/cap-bp-rag/main/package.jsoncap-bp-ragneeded by derived Where the embeddings are computed and searched: `vector_embedding`, `to_real_vector` and `cosine_similarity` are the database's own functions, and the project pins `db` to `hana`. Through: inverted from its requires edge miyasuta/cap-embedding-function — srv/service.js: https://raw.githubusercontent.com/miyasuta/cap-embedding-function/main/srv/service.js miyasuta/cap-embedding-function — package.json, cds.requires: https://raw.githubusercontent.com/miyasuta/cap-embedding-function/main/package.jsoncap-embedding-functionneeded by derived Both applications must run on SAP HANA in the same instance, because the federation is a database synonym from one schema to another. Through: inverted from its requires edge cds-federation-synonyms — README: https://github.com/cap-js/cds-federation-synonyms#readmecds-federation-synonymsneeded by derived the database whose vector engine the notebook works with, reached from Python through hdbcli; the README asks for an Introduction Academy or Basic Trial registration. Through: inverted from its requires edge SAP-samples/sap-genai-hub-with-sap-hana-cloud-vector-engine — README, Requirements: https://github.com/SAP-samples/sap-genai-hub-with-sap-hana-cloud-vector-engine SAP-samples/sap-genai-hub-with-sap-hana-cloud-vector-engine — README, Description: https://github.com/SAP-samples/sap-genai-hub-with-sap-hana-cloud-vector-enginesap-genai-hub-with-sap-hana-cloud-vector-engineneeded by derived the HDI container the consumption records and the monthly history are stored in Through: inverted from its requires edge SAP-samples/btp-ai-core-consumption-monitor — README, Requirements: https://github.com/SAP-samples/btp-ai-core-consumption-monitorSAP-samples/btp-ai-core-consumption-monitorneeded by derived the database the consumption data is stored in, through the HDI container the backend deploys Through: inverted from its requires edge SAP-samples/btp-resource-consumption-monitor — README, Requirements: https://github.com/SAP-samples/btp-resource-consumption-monitor SAP-samples/btp-resource-consumption-monitor — README, Requirements: https://github.com/SAP-samples/btp-resource-consumption-monitorSAP-samples/btp-resource-consumption-monitorneeded by derived Where the database artifacts the tutorial creates are created; the trial account is the route to it. Through: inverted from its requires edge SAP-samples/hana-cf-get-started-trial — README, Description: https://github.com/SAP-samples/hana-cf-get-started-trialSAP-samples/hana-cf-get-started-trialneeded by derived The system the exercises are performed on, enrolled through SAP Education's Learning System offering as an HC300 system. Through: inverted from its requires edge SAP-samples/hana-cloud-modeling-learning-journey — README, Download and Installation: https://github.com/SAP-samples/hana-cloud-modeling-learning-journey SAP-samples/hana-cloud-modeling-learning-journey — README, Requirements: https://github.com/SAP-samples/hana-cloud-modeling-learning-journeySAP-samples/hana-cloud-modeling-learning-journeyneeded by derived The database the notebooks train and score against, as the repository states the CodeJams are about. Through: inverted from its requires edge SAP-samples/hana-ml-py-codejam — repository description: https://github.com/SAP-samples/hana-ml-py-codejamSAP-samples/hana-ml-py-codejam← optionally used by6optionally used by derived If: A HANA binding is available to the profile the server runs with, which `cds add hana --for hybrid` configures; in development SQLite is the default. The database this is the service for: capire's standard database for production, reached with the credentials `cds watch` or `cds run` fetch from the binding at runtime. Through: inverted from its requires edge Using SAP HANA Cloud for Production — capire, Prepare for Production: https://raw.githubusercontent.com/cap-js/docs/main/guides/databases/hana.md Using SAP HANA Cloud for Production — capire, cds deploy: https://raw.githubusercontent.com/cap-js/docs/main/guides/databases/hana.md Databases — capire, overview (the 2 is the page's footnote mark): https://cap.cloud.sap/docs/guides/databases@cap-js/hanaifoptionally used by derived If: The HanaVectorStore backend is used; the SQLite backend runs without it. Through: inverted from its requires edge kalyanjanumpally/sap-joule-ai-plugin — cds-plugin-vector-hana README: https://raw.githubusercontent.com/kalyanjanumpally/sap-joule-ai-plugin/main/cds-plugin-vector-hana/README.md kalyanjanumpally/sap-joule-ai-plugin — cds-plugin-vector-hana README: https://raw.githubusercontent.com/kalyanjanumpally/sap-joule-ai-plugin/main/cds-plugin-vector-hana/README.md@saptarishi/cds-plugin-vector-hanaifoptionally used by derived If: the requirement names SAP Datasphere or SAP HANA Cloud; this is the HANA Cloud half of that choice where the V_PAYMENT_DELAY_PREDICTION view and the staging table live, when the data sits in HANA Cloud Through: inverted from its requires edge SAP-samples/analytics-cloud-rpt15-prediction-demo — README, Requirements: https://github.com/SAP-samples/analytics-cloud-rpt15-prediction-demoanalytics-cloud-rpt15-prediction-demoifoptionally used by derived If: The similarity search, the single retrieval method or the anonymisation are used; all three are written against SAP HANA Cloud. The vector engine the similarity search runs in, and the database the anonymisation happens in before a prompt leaves. Through: inverted from its requires edge cap-llm-plugin 1.5.1 — README on unpkg: https://unpkg.com/cap-llm-plugin@1.5.1/README.mdcap-llm-pluginifoptionally used by derived If: A hana service binding is present in the runtime environment. Through: inverted from its requires edge Building Applications — capire: https://cap.cloud.sap/docs/java/developing-applications/building#stack-configurationcom.sap.cds:cds-feature-hanaifoptionally used by derived If: the hana-cloud-inspector companion server is selected during setup Read-only inspection of a bound HANA Cloud HDI schema's catalog and row data when the hana-cloud-inspector companion is selected. Through: inverted from its requires edge sap-ai-dev-toolkit README: https://github.com/grknylmz/sap-ai-dev-toolkitsap-ai-dev-toolkitif← used by11used by derived The target: an HDI container, which on Cloud Foundry is an `hdi-shared` service instance. The README names SAP HANA 1 SPS11/SPS12 and SAP HANA 2 as supported; SAP HANA Cloud appears in the changelog, which added its tenant credential format in 5.4.0. Through: inverted from its requires edge @sap/hdi-deploy 5.7.0 — README: https://unpkg.com/@sap/hdi-deploy@5.7.0/README.md @sap/hdi-deploy — CHANGELOG, 5.4.0: https://unpkg.com/@sap/hdi-deploy@5.7.0/CHANGELOG.md Using SAP HANA Cloud for Production — capire: https://cap.cloud.sap/docs/guides/databases/hana@sap/hdi-deployused by derived Running the SQL scripts and notebooks against a real graph, spatial and document engine. Through: inverted from its requires edge SAP-samples/hana-graph-examples — README: https://github.com/SAP-samples/hana-graph-exampleshana-graph-examplesused by derived Where the embeddings are stored: the sample's schema is built into an HDI container by its own `build:db` step before the service can read or write vectors. Through: inverted from its requires edge SAP-samples/sap-btp-ai-best-practices — vector-rag-embedding/cap/backend-sample README, local deployment: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-embedding/cap/backend-sample/README.mdSAP BTP AI Best Practice Demo - VectorEmbedding (RAG) - CAPused by derived Where the vectors are stored and searched: the sample's schema is built into an HDI container by its own `build:db` step before a query can run. Through: inverted from its requires edge SAP-samples/sap-btp-ai-best-practices — vector-rag-query/cap/backend-sample README, local deployment: https://raw.githubusercontent.com/SAP-samples/sap-btp-ai-best-practices/main/best-practices/generative-ai/vector-rag-query/cap/backend-sample/README.mdSAP BTP AI Best Practice Demo - VectorQuery (RAG) - CAPused by derived the instance the third exercise monitors and remediates; named among the BTP services the account must include. Through: inverted from its requires edge SAP-samples/teched2022-XP281 — README, Requirements: https://github.com/SAP-samples/teched2022-XP281SAP-samples/teched2022-XP281used by derived the cloud database the exercises' HDI artefacts deploy into; the README asks for a BTP development environment or a trial account from SAP for SAP HANA. Through: inverted from its requires edge SAP-samples/teched2023-DA263 — README, Requirements: https://github.com/SAP-samples/teched2023-DA263teched2023-DA263used by derived the database every exercise runs against; the notebooks generate SQL for execution in the connected instance. Through: inverted from its requires edge SAP-samples/teched2025-DA261 — README, Overview: https://github.com/SAP-samples/teched2025-DA261 SAP-samples/teched2025-DA261 — Exercise 2, Getting started: https://github.com/SAP-samples/teched2025-DA261/blob/main/exercises/ex2/README.mdteched2025-DA261used by derived the target of the migration: the HDI container the SAP HANA 2.0 container is migrated to and the CAP application is then bound to. Through: inverted from its requires edge SAP-samples/xsa-cap-migration — README, Requirements: https://github.com/SAP-samples/xsa-cap-migrationxsa-cap-migrationused by derived the database the migrated CAP application targets, and the HDI container the converted artefacts are deployed into. Through: inverted from its requires edge SAP-samples/xsa-cap-migration-using-basextn — README, Description: https://github.com/SAP-samples/xsa-cap-migration-using-basextnxsa-cap-migration-using-basextnused by derived the database the generated CAP project targets, and the HDI container the migrated artefacts are bound to and deployed into. Through: inverted from its requires edge SAP-samples/xsc-cap-migration — README, Description: https://github.com/SAP-samples/xsc-cap-migrationxsc-cap-migrationused by derived the database the generated SAP HANA Native project targets, and the HDI container the migrated artefacts are bound to and deployed into. Through: inverted from its requires edge SAP-samples/xsc-to-native-hana-cloud — README, Description: https://github.com/SAP-samples/xsc-to-native-hana-cloudxsc-to-native-hana-cloud

Learn more28

Readings
  1. CAP in the age of AI #7 - vector embeddings wrap-upDJ Adams, Johannes Vogt, YouTube — SAP Developers playlists
  2. CAP in the age of AI #6 - vector embeddingsDJ Adams, Johannes Vogt, Daniel Schlachter, YouTube — SAP Developers playlists
  3. SAP BDC in Business AI Platform: Contextualize and ReasonSAP Developers, YouTube — SAP Developers playlists
25 more
  1. Bring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsSAP Developers, YouTube — SAP Developers playlists
  2. Building your knowledge graph on SAP HANA CloudSAP Developers, YouTube — SAP Developers playlists
  3. Combining AI Agents with the power of SAP HANA embedded ML (part 1)Vitaliy Rudnytskiy, YouTube — SAP Developers playlists
  4. Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANAneilaspin, SAP Community
  5. Automate Recurring Data Updates in SAP HANA CloudJoni, SAP Community
  6. Accelerating Your Analytics with Delta Table Replication into SAP HANA CloudSeungjoonLee, SAP Community
  7. Medallion Reference Architecture for Big Data Processing in SAP HANA CloudSAP Architecture Center, SAP Architecture Center
  8. SAP HANA Cloud as an Esri GeodatabaseSAP Architecture Center, SAP Architecture Center
  9. SAP HANA Data Lake Files (HDLF) Basic FunctionalitiesSAP Developers, YouTube — SAP Developers playlists
  10. Talking to your database: The new data exploration tools in SAP HANA CloudSAP TechEd — session catalogue
  11. Stop guessing, start counting: How generative AI fixed an inventory messSAP TechEd — session catalogue
  12. SAP HANA Cloud as a self-managed database: Advisors and automationSAP TechEd — session catalogue
  13. Build AI agents and applications natively on SAP HANA CloudSAP TechEd — session catalogue
  14. Modernize your database landscape with SAP HANA CloudSAP TechEd — session catalogue
  15. SAP HANA Cloud advisors and automationSAP TechEd — session catalogue
  16. Building agentic applications with SAP HANA CloudSAP TechEd — session catalogue
  17. Unlock predictive and generative AI with your data in SAP HANA CloudSAP TechEd — session catalogue
  18. Agentic memory: Knowledge graph engine and recall in SAP HANA CloudMarkus Fath, SAP TechEd — session catalogue
  19. Get hands on with tabular AI and forecasting models in SAP HANA CloudMarkus Fath, SAP TechEd — session catalogue
  20. Knowledge graph and agent memory: Build an agent that remembersMarkus Fath, Thomas Hammer, SAP TechEd — session catalogue
  21. Flexible analytics at speed: Calculation views in SAP Business Data CloudThomas Hammer, SAP TechEd — session catalogue
  22. Road map for SAP HANA Cloud: What’s next for the AI databaseThomas Hammer, SAP TechEd — session catalogue
  23. SAP HANA Cloud: The data foundation for contextualizing and reasoningSAP TechEd — session catalogue
  24. SAP HANA Cloud as the AI database for SAP Business Data CloudThomas Hammer, SAP TechEd — session catalogue
  25. Build your custom knowledge layer with SAP HANA CloudSebastian Schmidt, SAP TechEd — session catalogue

What’s New21

from SAP Help Portal, read
help.sap.com/whats-new, SAP HANA CloudOn SAP Help Portal
21entries since , per month

  1. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2026-09-18

  2. New component version available

    NewGeneral AvailabilityInfo onlyCloud Foundry, Kyma, Otherrevised 2026-06-24

  3. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Other

  4. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Other

  5. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2025-11-04

  6. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Other

  7. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2025-03-25

  8. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2025-01-08

  9. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2024-09-25

  10. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Otherrevised 2024-06-25

  11. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry, Kyma, Other

  12. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry

  13. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry

  14. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry

  15. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry

  16. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundry

  17. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundryrevised 2024-01-01

  18. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundryrevised 2024-01-01

  19. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundryrevised 2024-01-01

  20. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundryrevised 2024-01-01

  21. New component version available

    NewGeneral AvailabilityRecommendedCloud Foundryrevised 2024-01-01

titles and labels, read

Others providing35

Database connectors
  1. SAP ASE ServiceManaged SAP ASE databases on BTP for Java applicationsfrom BTP/BAIP
  2. SAP HANA Service (SAP Regions) for SAP BTPManaged SAP HANA 2.0 databases in fixed sizes on SAP BTPfrom BTP/BAIP
  3. PostgreSQL on SAP BTP, hyperscaler optionManaged PostgreSQL from the hyperscaler via a BTP service bindingfrom BTP/BAIP
  4. com.sap.cds:cds-feature-hanaSAP HANA Cloud datasource for CAP Java applicationsfrom CAP
  5. com.sap.cds:cds-feature-jdbcJDBC runtime for H2 and SQLite in CAP Javafrom CAP
  6. com.sap.cds:cds-feature-postgresqlPostgreSQL datasource for CAP Java applicationsfrom CAP
  7. com.sap.cds:cds-services-bomMaven bill of materials pinning CAP Java module versionsfrom CAP
  8. @cap-js/db-serviceBase service shared by CAP's SQLite, PostgreSQL and HANA servicesfrom CAP
  9. @cap-js/hanaSAP HANA database service for CAPfrom CAP
  10. @cap-js/postgresPostgreSQL database service for CAPfrom CAP
  11. @cap-js/sqliteSQLite database service for CAP, in memory during developmentfrom CAP
  12. cap-postgres-btp-connectivityTunnels CAP Node.js to a private PostgreSQL via Cloud Connectorfrom CAP
  13. cds-mongodbMongoDB as a CAP database service through Mongoosefrom CAP
  14. @cds-pgroll/postgresCLI for DROP and RENAME schema changes beside @cap-js/postgresfrom CAP
  15. hdbPure JavaScript SAP HANA driver for Node.jsfrom BTP/BAIP
  16. @neoimpulse/cap-js-restore-model-defined-typesCAP plugin casting read values back to CDS model typesfrom CAP
  17. @quadrio/cds-db2DB2 adapter for CDSfrom CAP
  18. @sap/cds-hanaDatabase adapter for SAP HANA in CAPfrom CAP
  19. @sap/cdsCAP Node.js runtimefrom CAP
  20. @sap/hana-clientSAP's Node.js driver for SAP HANAfrom BTP/BAIP
  21. SAP HANASAP's relational database platform, on-premise and in HANA Cloudfrom BTP/BAIP
  22. SAP-samples/hana-hdbext-promisfied-examplePromise-based wrappers around the SAP HANA client librariesfrom BTP/BAIP
  23. cds-pgPostgreSQL adapter for SAP CDS from the SAP Mentors communityfrom CAP
  24. cap-snowflakeCAP database adapter for Snowflake with OData V4 supportfrom CAP
  25. cds-mysqlMySQL and MariaDB database adapter for CAPfrom CAP
Retrieval-augmented generation
  1. SAP AI CoreAI runtime on BTP with the Generative AI Hubfrom BTP/BAIP
  2. @cap-js/aiValue-help recommendations and SAP AI Core as a CAP servicefrom CAP
  3. cap-llm-pluginGenerative AI in CAP with fields anonymised through SAP HANAfrom CAP
  4. @mi8y/cap-agents-aicore-vectorstoreLangChain vector store on SAP AI Core Document Groundingfrom CAP
  5. @mi8y/cap-agents-cds-vectorstoreLangChain vector store with CDS entities for embeddingsfrom CAP
  6. zvdbVector database implemented in ABAP for document chunk retrievalfrom ABAP
  7. @sap/cdsCAP Node.js runtimefrom CAP
  8. @saptarishi/cds-plugin-llmCAP service kind putting eleven model providers behind one APIfrom CAP
  9. @saptarishi/cds-plugin-vector-hanaVector storage and similarity search on SAP HANA from CAPfrom CAP
  10. sap-knowledge-pipelinePython library turning OData or HANA records into chunked documentsfrom BTP/BAIP
Database administration
  1. SAP-samples/hana-developer-cli-tool-exampleDeveloper-centric command line for SAP HANAfrom BTP/BAIP

Details

Sources1
SAP Help Portaldiscovered herechecked

Sources are graph entities: the same page may back several entries, and an unreachable source flags every row that rests on it.

Compatibility and provenance
discovered viaSAP Help Portal
first seen in the atlas
ecosystem and domainbtp, data-and-persistence
History in the atlas5
  1. provides capability:database-administration
  2. capability:database-connectors, capability:retrieval-augmented-generation
  3. Entered so the data and analytics capabilities have SAP's answer as an artifact rather than as a paragraph with a citation — the asymmetry every one of those three coverage notes admitted to. Written from SAP Help, read today, which is what the checked date means.
  4. Added by me the day it was entered, and it did not hold: an ABAP developer does not choose the database — S/4 runs on HANA — so database-connectors is not a decision made on the ABAP door.
  5. First seen.
For your agent
Ref
artifact:btp-hana-cloud
JSON
/artifacts/btp-hana-cloud.json
MCP
Connecting an agent