Explore the models / 8DB

Topological braids

Keep the order of an interaction.

Represent crossing order in interacting histories so a relationship pattern can retain how it unfolded.

Order · encode · compare
Model / BraidsConceptual diagram
braids representation: conceptual diagramSTRANDS + CROSSINGS + SEQUENCE
Strands change relative order over time. Crossings retain sequence as well as connection.

The decision / Specialist context

Remember how the interaction unfolded.

Two histories can connect the same entities and still tell different stories. Crossing order gives the application another structure to inspect.

WHEN TO CONSIDER 8DB

When the job crosses models.

Consider 8DB when the mapping from real events to strands and crossings preserves a distinction your workload needs. Keep that representation connected to source events and ordinary records.

Explore the connected workflow ↗
Alternative to evaluate

Braidlab

Specialist mathematical software for braid representations and analysis.

Read the source ↗
Alternative to evaluate

Temporal graphs and event records

Practical alternative encodings when timestamps and explicit dependencies answer the question.

Read the source ↗
WHAT THE WORK REQUIRES

Provenance guidance motivates preserving the origin and derivation of a result. Braid-specific customer demand is a hypothesis to validate; mathematical expressiveness alone does not establish commercial value.

W3C PROV ↗

Start with the operations
your question needs.

  • Braid encoding and strand operations
  • Topology matching on supported paths
  • Declared graph, hypergraph, vector and timeline projections

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

Not every BraidQL operator is released. Durable semantic-identity ingestion remains gated while its encoding profile is corrected. Fingerprints summarize a representation; projections need not reconstruct the original braid.
Connected native models

Keep the next question within reach.

For a group of time series, rank crossings describe the pattern of co-movement. Braid representations can support topology-based comparison and declared projections into other structures.

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

Compare the interaction pattern of related signals

time series representation: conceptual diagramPOINTBOUNDGAPMEANING PRESERVED THROUGH TIME →
Step 1 / Time series

Read a bundle of source-backed time series

Measured points, an interval bound and a visible gap retain different meanings along the same timeline.

Next: Define crossings

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. Read a bundle of source-backed time series
  2. Declare how series become strands and crossings
  3. Encode the rank-crossing pattern
  4. Compare topology and inspect the source intervals
  5. Return a pattern match with its interpretation and limits

A static graph and an ordered interaction history preserve different information. Temporal graphs or application-side encodings are legitimate alternatives; compare the exact invariant, query semantics and data preparation.

Compare a realistic alternative.

A property graph can store events and ordering relationships. 8DB’s case is the implemented braid algebra and its composition paths, not an assertion that another database cannot store ordered data.

Neo4j graph concepts

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.

The comparison to make: Compare interaction histories while retaining the events behind the pattern.

A reviewed timing for this specific job is not yet published here. The evaluation below defines the useful result and the measures that matter. Supporting measurements must match this model, its quality target and the required operating conditions.

01Crossing-order fidelity
02Encode & comparison latency
03Retained history bytes
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.

Evaluate the result you need

Compare interaction histories while retaining the events behind the pattern.

Illustrative evaluation workflow · qualify the required operations and deployment

  1. 01Source events
  2. 02Declared strand mapping
  3. 03Pattern comparison
  4. 04Original evidence

Order fidelity

Verify the distinctions preserved by the chosen encoding.

False equivalence

Test histories that must remain distinguishable.

Encoding and query cost

Include conversion, persistence and source lookup.

Bring the workload that matters to you.

We’ll use its output, quality and operating requirements to define a useful comparison.

Discuss an evaluation ↗
Comparison scope, sources and next evidence

Validate one customer workload and the exact operators/invariants; compare Braidlab plus persistence and a temporal-graph baseline. Do not conflate topology with erasure or encryption guarantees.

Match the required correctness, freshness, durability and protection. Include ingestion, transformation, indexing and delivery in a complete-job result. Measure memory, stored bytes, energy and physical writes separately. Vendor descriptions establish offers, not independent rankings or 8DB compatibility.

Market review: 20 September 2026 · Reference revision 3.0. Linked benchmark results retain their own dates and scope. Standards are evaluation context, not an 8DB certification.

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 graph concepts; 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