Everything in the atlas

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.

Ninety tools is a large surface to put in front of a model at once, and client-credentials OAuth means the tenant sees one identity rather than the person asking. Content transport and user management sit in the same tool list as reading a story.

No published releases; repository quiet for 66 months.

No published releases; repository quiet for 26 months.

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Business Source License 1.1, which is source-available rather than open source: reading and evaluating are fine, and production use is restricted until the licence's change date. That is a procurement question, not a technical one, and it is the thing to settle first. Read-only also means read-only — no modelling, no loads.

It presumes the estate it governs: intelligent content is installed and viewed rather than authored, and the catalog is only as useful as what has been published into it. The Databricks path is a direction data goes, which is a decision about where analytics happens and not only about a tool.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.

Business Source License 1.1: source-available, with production use restricted until the change date — settle that before anything technical. And the governed execution path in v0.2 does act on data, which is a different grant from the discovery the v0.1 baseline offered.

Where the release and programming model offer durable locks, as RAP draft handling does, the README states that those solve the problem at the kernel level and the lock manager is for where that is not an option. A running handler occupies one background work process for as long as any lock is held, and only generated `ENQUEUE_*` modules can be locked.

Nothing to choose here and nothing to install: it is what an ABAP Cloud system gives you. It shares a name and a lineage with CAP's CDS but is a different language in a different runtime, and a model does not move between them.

No license Neither the package manifest nor the repository tree declares a licence.

Functional boundary Marked BETA and called a first prototype on its own page, which names where it is wrong: when fields are mapped with CAST, CASE, ABS and other CDS functions there may still be errors in the fields, so a mapping that goes through one of those needs checking against the view it came from.

Not on the [SAP BTP ABAP environment](artifact:btp-abap-environment) or another cloud ABAP system: the maintainer states the tool is not cloud ready, because the data sources and system tables it reads CDS metadata from are not released for cloud development. It is designed for SAP S/4HANA on-premise or private cloud, and the shipped Fiori application is configured for A4H and developer systems.

Neither the package manifest nor the repository tree declares a licence.

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.

Its own feature comparison marks connection pooling, automatic reconnect, active-active reads, client-side data encryption, statement distribution, Kerberos authentication, the hdbuserstore, promises and TypeScript types as [@sap/hana-client](https://www.npmjs.com/package/@sap/hana-client) only, so a service that wants a pool or a promise API writes both itself over a callback interface. OpenSSL is its one security provider where the other driver lists SAP CommonCryptoLib, OpenSSL and MSCrypto, and it runs on Node.js 18 or later.

For provisioning a managed database on BTP, see [SAP HANA Cloud](artifact:btp-hana-cloud). Features differ between HANA versions; an on-premise deployment and a cloud instance are not interchangeable without compatibility checks.

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.

Not an end-user app: it reads from any table the user names and writes into tables of the Z/Y namespace, with no authorisation check of its own, so the README asks a project to add its own checks on `S_TABU_DIS`/`S_TABU_NAM` and to restrict who may run it before it is used beyond a development system. XLSX upload and download are not ready for ABAP Cloud yet, and of the upload apps only the JSON one writes the file's rows back to the database.

No published releases; repository quiet for 81 months.

Not where SAP's own Google Workspace integration already applies: the README opens by announcing a native integration between Google Workspace and [SAP S/4HANA](external:sap-s4hana), whose first set of features is included in SAP S/4HANA Cloud 2208 and SAP S/4HANA 2022 and needs an additional licence for the SAP Document Management Service. Not where end users cannot each hold a regular Google account, since there is no way to use an enterprise account or to log on to Google Drive through single sign-on, and not where the redirect URL Google calls cannot reach a public top-level domain server. No SAP standard support is provided for it.

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

DataZoo GmbH calls the extension experimental and states that minimal testing and benchmarking were done. The Business Source License 1.1 it carries restricts offering the software to third parties on a hosted or embedded basis, so an embedding product needs a commercial licence. Telemetry is on by default and is switched off per session with `SET erpl_telemetry_enabled = false` or for the machine with `DATAZOO_DISABLE_TELEMETRY=1`.

No published releases; repository quiet for 24 months.

No published releases; repository quiet for 72 months.

A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

Ninety tools is a large surface to put in front of a model at once, and client-credentials OAuth means the tenant sees one identity rather than the person asking. Content transport and user management sit in the same tool list as reading a story.

Release and repository quiet for 80 months.

Not for a table whose contents matter, and not for one chosen at run time: the name of the table is fixed in the calling code, and the maintainer's own warning is "only hardcode the table name, don't use with important tables, use at own risk!"

The app writes to whatever table is passed in the URL parameter `table` and carries no authorisation check of its own, so past a development system it needs authorisation checks added and a restriction on who may run it.

Neither the package manifest nor the repository tree declares a licence.

Neither the package manifest nor the repository tree declares a licence.