Make protection part of the product.
Evaluate an embedded engine for records that must remain useful and confidential over a long lifetime.
Explore protection ↗Developers & integratorsBring the data system
Bring the data system
into your application.
Build around your data and your deployment. 8DB combines embedded storage, native search, governance and mesh coordination, with post-quantum protection in the supported data paths.
Spend less of your design on connecting separate systems.
An application that needs documents, graphs, vectors and controlled synchronization creates work at every boundary. 8DB brings those concerns into a common engine so you can evaluate the data model, permissions and operational behavior together.
Work close to the device.
Define the memory, storage, connectivity and power limits of the devices where your application runs.
Explore adaptive execution ↗Keep context attached.
Connect retrieved information to its sources, relationships and permitted uses, across native data structures.
Explore the data models ↗Start with one real workload.
Choose the data boundary.
Identify the records and operations 8DB would own, the surrounding systems and the migration path from your current store.
Choose the operating profile.
Define data schemas, node identities, access rules and the devices that must work together. The reviewed protected-node example starts with canonical lexical records; other schemas need explicit integration.
Run the acceptance workload.
Agree correct results, latency, storage, wire bytes and recovery behavior. Compare against your current approach with the same protection and durability requirements.
Inspect the part you need to rely on.
The public record includes algorithm implementation checks, controlled record-size measurements and two-host recovery evidence. Each result identifies its source and conditions, giving your team a concrete basis for choosing the next test.