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.

If document versions are required, [@cap-js/sdm](artifact:cap-js-sdm) excludes versioned repositories in its [documented restrictions](https://raw.githubusercontent.com/cap-js/sdm/ad13b61f21816ebead2d08264a74521cfb75846c/README.md).

Not where the UI library itself is expected to bind data: the documentation leaves binding a component's content and events to the host framework. Not from a CDN script tag: the project publishes none, so it assumes a build step.

For deployed environments, the [README](https://raw.githubusercontent.com/cap-java/cds-feature-attachments/302f61c8bb76a0f54f43482ad91d89bf7dc5540f/README.md) excludes the cds-feature-attachments-fs file-system target, which is intended only for local development and testing.

If document versions are required, the [documented restrictions](https://raw.githubusercontent.com/cap-java/sdm/673769f24ef66fd97daa6a6be41262d45065d3fe/README.md) exclude versioned repositories.

It is a bundle, not a plugin with one job. Depending on it for one feature brings the rest.

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.

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.

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.

It is a bundle, not a plugin with one job. Depending on it for one feature brings the rest.

When your adoption policy excludes experimental dependencies: the [maintainer’s README](https://github.com/cap-js/cds-federation-synonyms#about-this-project) explicitly labels this plugin experimental.

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.

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.

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.

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

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.

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`.

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.

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.

When your adoption policy excludes experimental dependencies: the [maintainer’s README](https://github.com/cap-js/cds-federation-synonyms#about-this-project) explicitly labels this plugin experimental.

It is a bundle, not a plugin with one job. Depending on it for one feature brings the rest.