Hybrid data tiers: the right engine and storage for each kind of data, run as one system.

Not every record needs the fastest, most expensive storage, and not every workload belongs in the same engine. We place data by how it is used, move it automatically as it ages, and keep one security model, one catalog, and one recovery plan across every tier.

HotTransactions

Data

Current records the mission system reads and writes all day

Engine

Oracle (RAC / Exadata), Aurora, or PostgreSQL

Storage

NVMe and flash, uncompressed or in-memory

WarmRecent history

Data

Closed cases and prior periods, queried for reporting and lookups

Engine

Same database, older partitions

Storage

Standard block storage, compressed

LakehouseAnalytics

Data

Dashboards, trend analysis, and data science across current and historical data

Engine

Apache Iceberg tables in Parquet, fed by change data capture and queried with Trino

Storage

Object storage, off the transactional path

ColdRetention

Data

Records kept to meet NARA retention schedules and audit needs

Engine

Parquet in Iceberg tables with snapshot history, queried through external tables

Storage

Low-cost object storage, immutable where required

data moves down the tiers automatically as it ages

What keeps it one system

Mixed underneath, cohesive on top

One logical model and catalogEvery dataset has a documented home, owner, and lineage, whichever tier it sits in. Iceberg tables are registered in a shared catalog so every engine sees the same definitions.
One security modelConsistent roles, encryption in transit and at rest, and auditing across all engines and storage.
Automated lifecyclePartitioning and policy-driven movement (such as Oracle Automatic Data Optimization) age data without manual jobs.
Federated queriesTrino, a distributed SQL engine, runs one analytical query across Oracle, Aurora, PostgreSQL, and Iceberg, joining tables from different engines without copying data first. It scales out across as many nodes as the query load requires. Views, external tables, and foreign data wrappers cover the rest, so applications never need to know where data lives.
One recovery and monitoring planBackup, DR targets, and baseline monitoring cover every tier, not just the primary database.

Have a requirement, an RFI, or a teaming opportunity?

Tell us the system, the deadline, and what “fixed” looks like.