Patterns, not case studies.

These are workloads rather than industries: what a developer is actually doing with the data, and which PLOMID data models carry it. Each pattern has its own page, with the architecture behind it and the industries where the same shapes appear.

Explore the architecture Browse by industry

Solutions

Four families of workload.

Each solution names the models it depends on and the industries that run it. Nothing is listed here that does not have a page of its own.

Data foundation

5 solutions

Records, documents and events in one layer.

Intelligence

6 solutions

Retrieval, search and AI over the same data.

Industrial & operational

4 solutions

Physical systems, equipment and their history.

Trust & deployment

3 solutions

Risk decisions, device fleets and where it runs.

See the same set from the industry side

Workload patterns

What could PLOMID solve?

Each pattern names the models it leans on. A model still being built keeps the dashed frame, which is the treatment the capability map uses for the same thing.

Application data

Records that are structured, plus the fields that never quite fit a column.

One request reads rows, keys and joins alongside nested documents, instead of loading one side into the other.

Rows for core records
Documents for changing shape
One statement across both

SQL + JSON Models in play

Data Infrastructure

Real-time data

What is happening now, and what led here.

Telemetry and events are stored with the application data, so history and current state are read from the same layer.

Events and measurements
Windowed reads
No export between systems

Time series Models in play

Real-time Analytics

Operational reporting

Answers asked of live data rather than a nightly copy.

Aggregates run over the operational tables, so the numbers you report and the numbers you serve come from one place.

Aggregates in place
Document fields filterable
One copy of the truth

SQL + JSON Models in play

Operational Analytics

Search and retrieval

Find what is similar, not only what matches.

Retrieval over the same layer avoids shipping documents into a second store to be searched: similarity becomes an access path over the data that already serves the application.

Similarity search path
Documents stay queryable
One layer to keep in step

Vector Models in play

AI Retrieval

Connected data

What is reachable, and what depends on what.

Questions about relationships rather than records: expressing edges directly removes the reconstruction at query time.

Nodes and edges as structures
Traversal without rebuild
Over data already in the layer

Graph Models in play

Knowledge Systems

Large objects

Files, media and artifacts that need to be found by query.

Objects are usually stored somewhere and described somewhere else. Keeping both in the layer means an asset is found by a query, not a convention.

Big immutable objects
Queryable metadata
No separate catalogue

Blobs Models in play

Document Intelligence

How to read this A solid frame is a model the layer holds today; a dashed frame is a model still being built. Every pattern links to the page that explains it.

How to choose

Three things hold across every pattern.

Whatever you are building, the same three properties decide whether one layer makes it simpler.

Start from the workload: Each pattern names the work being done — the writes, the reads, the questions — and the data models that carry it, so the first decision is about the workload, not the tooling.
One layer, several shapes: Records, documents and time-ordered data live in one system, which is what removes the copies between them and the jobs that keep copies honest.
Architecture you can read: Every pattern links to the layer underneath it: the data models, the path a request takes, and the industry settings where the same shapes appear.

Describe your workload Every model on the platform

Industries The operational settings where these workloads actually run. Data Sovereignty Deployment, residency and who operates the system. Roadmap Status of every capability referenced on this page.