## Performance evidence update / 18 September 2026

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.

01
Resolution & band fidelity
02
Window / region latency
03
Decode & storage cost
Include memory, storage, energy and hardware writes



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# Raster fields | 8DB

Product reference. Reviewed 18 September 2026. Implementation and evaluation scope are stated below.

Explore the models

(https://8braid.com/modalities)

/ 8DB

Raster fields

Read the pattern across a field.

Represent values on a grid and connect their spatial meaning with time, source material and related observations.

Explore the capabilities

See a complete workload

Grid · sample · compare

Model /

Raster fields

Conceptual diagram

[Diagram: raster representation: conceptual diagram]

A regular grid carries values across space. The color pattern is illustrative, not measured data.

Capabilities

What changes

Input to value

Alternatives

Performance

Adoption

Related articles

Reference

Start with the operations

your question needs.

Typed scalar raster/grid representation

Preserved regular layout and values

Source and related-record context

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

Raster typing does not prove support for every geospatial file format, reprojection or analysis operation. Check NoData, units, resolution, georeferencing and import/export behaviour explicitly.

Connected native models

Keep the next question within reach.

The useful addition is context around the cells: a field can be inspected beside the capture event and associated observations. A grid’s shape and value semantics remain explicit.

[Diagram: spatial representation: conceptual diagram]

Spatial data

Put the question in its place.

Locate · measure · query

Explore model ↗

(https://8braid.com/modalities/spatial)

[Diagram: time series representation: conceptual diagram]

Time series

Keep the meaning in every observation.

Observe · window · analyze

Explore model ↗

(https://8braid.com/modalities/time-series)

[Diagram: documents representation: conceptual diagram]

Documents

Keep the source behind the answer.

Structure · search · trace

Explore model ↗

(https://8braid.com/modalities/documents)

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

Review a changing environmental field

0

1

Receive a field

→

0

2

Preserve meaning

→

0

3

Select a region

→

0

4

Connect observations

→

0

5

Review the field

→

[Diagram: raster representation: conceptual diagram]

Step

1

/

Raster fields

Receive a supported grid and capture metadata

A regular grid carries values across space. The color pattern is illustrative, not measured data.

Next: Preserve meaning

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

Receive a supported grid and capture metadata

Preserve layout, units and missing-value meaning

Select the relevant region and observation period

Relate cell values to ground observations and source records

Present a field view with its supporting context

Include decoding, georeferencing, any reprojection, loading and result assembly. A file-size comparison alone does not establish a faster or more accurate field-analysis workflow.

Compare a realistic alternative.

GDAL documents a broad raster driver ecosystem. It is an interoperability/processing baseline, not a competing database with identical responsibilities. Avoid implying that a typed grid replaces that entire ecosystem.

GDAL raster drivers

(https://8braid.com/modalities/https://gdal.org/en/stable/drivers/raster/index)

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.

Performance & resources

Measure the work that delivers the answer.

Cell/layout and NoData fidelity; supported formats; region-read latency; input preparation; bytes transferred/stored; complete map freshness.

This draft does not assign a new speed ratio or score to this modality. Existing measurements and source leads are retained in the evidence programme; a qualified public result must identify the particular operation and path tested.

Explore the published benchmark evidence

(https://8braid.com/benchmarks)

What belongs inside the timer and resource budget?

For input-to-value testing, declare the input state and the consumer-ready output first. Include parsing, derivation, storage/protection, index readiness, querying, result assembly and delivery as applicable. Identify amortized setup and any work deferred past the finish line.

Report database-stage and full-job results separately. Do not add unrelated medians or p95 values, or multiply component speedups into a claimed workflow result. Energy needs measured joules; reduced handoffs alone do not establish a saving.

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

(https://8braid.com/pqc)

·

Plan a workload evaluation

(https://8braid.com/build)

Related articles

Take the next step into the thinking.

Mechanism & application

8DB | Native Multimodal Data: Connect the Dots Across Graphs, Maps and Time Series

(https://8braid.com/journal/modality-is-a-projection)

Explore the ideas and implementation context behind this capability.

Mechanism & application

Show Your Work: Provenance as a Query, Not a Forensic Reconstruction

(https://8braid.com/journal/show-your-work-provenance-as-a-query)

Explore the ideas and implementation context behind this capability.

Reference / Reviewed 17 September 2026

Readable, shareable and traceable.

This reference explains

8DB’s public modality description

(https://8braid.com/modalities#explore)

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

(https://8braid.com/modalities)

;

GDAL raster drivers

(https://8braid.com/modalities/https://gdal.org/en/stable/drivers/raster/index)

; the related articles above. Internal source leads and outstanding release checks remain in the editorial record.

Download this reference

(https://8braid.com/modality-reference/raster.md)

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

(https://8braid.com/build)
