Creators of8DB

Explore the models / 8DB

Hypergraphs

Give a shared event its full cast.

Represent a relationship that involves several participants and their roles, without reducing its meaning to a list of independent pairs.

Explore the capabilitiesSee a complete workload
Group · relate · intersect
Model / HypergraphsConceptual diagram
hypergraphs representation: conceptual diagramPARTICIPANTS + SHARED RELATIONSHIP
One relationship spans multiple participants. Overlapping groups show shared membership.

Start with the operations
your question needs.

  • Typed n-ary facts with participant roles
  • Participant lookup
  • Role and type intersections

Documented product scope, reviewed 17 September 2026. The underlying build and deployment must be qualified for your application.

Native n-ary representation does not imply a dedicated operator for every hypergraph pattern. A property graph can also model an observation as a node with role-labelled relationships.
Connected native models

Keep the next question within reach.

A native n-ary fact retains its own identity and participants. This can simplify asking about the whole observation and its evidence without rebuilding the intended grouping from unrelated pairwise edges.

tables representation: conceptual diagramIDOBSERVATIONSTATE01020304ROWS → FILTER → SELECTED FIELDS
Tables

Familiar rows. More context within reach.

Filter · sort · project

Explore model ↗
time series representation: conceptual diagramPOINTBOUNDGAPMEANING PRESERVED THROUGH TIME →
Time series

Keep the meaning in every observation.

Observe · window · analyze

Explore model ↗
documents representation: conceptual diagramSOURCECONTEXTDOCUMENT → PASSAGE → EVIDENCE
Documents

Keep the source behind the answer.

Structure · search · trace

Explore model ↗

These connections show the models involved in the application design. Compare the supported combination and full workflow with a realistic alternative.

Input → usable value / interactive design example

Explain which observations support a laboratory result

tables representation: conceptual diagramIDOBSERVATIONSTATE01020304ROWS → FILTER → SELECTED FIELDS
Step 1 / Tables

Receive an observation and its participant identities

Rows share a structure. A query selects the fields and records relevant to the question.

Next: Keep one fact

Conceptual application workflow. Qualify the supported operations, external tools, protection and persistence for the complete path. These diagrams are explanatory, not measured results.

Read the complete workflow and comparison scope
  1. Receive an observation and its participant identities
  2. Store the roles as one n-ary fact
  3. Find matching sample, method and instrument combinations
  4. Join the associated measurement and source document
  5. Return a result with its full observation context

Measure the work of creating, updating and recovering the same grouped fact, including role constraints and source retrieval. Avoid comparing one native lookup with an artificially inefficient graph query.

Compare a realistic alternative.

A property graph provides a realistic alternative through explicit observation nodes and relationships. Compare the representation, validation burden and query path rather than claiming that pairwise stores cannot express the fact.

Neo4j property graph model

Compare equivalent outputs and required guarantees, including the simplest single-product alternative where one exists. A specialist may remain the better fit when its operators, ecosystem or operational maturity are decisive. Combining native models becomes valuable when your actual question crosses them.

Modality performance / Evidence reviewed 18 September 2026

Define the useful result. Measure the complete job.

A modality-specific timing is not yet linked to this guide.

There may be supporting engineering measurements in the internal archive. We are reconciling their workload, result quality and comparison conditions before presenting a public chart. A benchmark for an adjacent model does not establish this model’s performance.

01Role-aware result correctness
02Membership / intersection latency
03Update amplification
Include memory, storage, energy and hardware writes

Record build-time and serving memory separately, original and derived stored bytes, measured joules per completed job, and physical writes including indexing, compaction and recovery. A smaller representation does not by itself prove lower energy or longer device life.

Match correctness, freshness, durability and protection across alternatives. Encryption, authorization, adapters, network setup and output delivery belong in the complete-job comparison wherever required. No universal zero-overhead claim follows from these results.

Choose the path that fits your deployment.

Verify the supported API/SDK, data format, persistence and indexing behaviour for the release you plan to use. Match the operation-by-modality protection profile and device qualification to the workload.

Post-quantum protection · Plan a workload evaluation

Related articles

Take the next step into the thinking.

Reference / Reviewed 17 September 2026

Readable, shareable and traceable.

This reference explains 8DB’s public modality description with an explicit workload and selection criteria. It is a documentary review, not fresh execution of every operator or platform.

Public sources: 8DB modality scope; Neo4j property graph model; the related articles above. Internal source leads and outstanding release checks remain in the editorial record.

Download this reference

Evaluate the question
your application needs to answer.

Bring the data shapes, input state, expected output and the systems you use today. Define a comparison around that complete job.

Discuss your workload