Data and AI Modernization
Replace legacy stacks with one unified platform.
Modernize fragmented data and AI architectures into a single, real-time execution system.
From stitched architecture to unified execution
Legacy architectures are complex, costly, and slow. MonkDB consolidates them into one unified execution platform.
What MonkDB makes possible for data and ai modernization
Consolidation of multiple systems into one
Replace databases, pipelines, vector DBs, and AI layers with a single engine.
Elimination of pipelines and redundant layers
No more brittle ETL maintenance.
Real-time processing and AI integration
Streaming, vectors, and SQL operate in the same plane.
Faster deployment and lower operational overhead
One binary. One contract. One ops surface.
Three steps, one continuous loop
Map the legacy stack
Identify the 5–7 systems and ETL paths MonkDB can collapse into one engine.
Replace, do not retro-fit
Replatform onto a single binary. Open Iceberg formats keep your data portable.
Run on one plane
Operational, analytical, vector, and streaming workloads share one engine and one SLA.
We retired four systems and a CDC layer in one quarter. Latency dropped, on-call burden dropped, cost dropped. The team is shipping product, not maintaining glue.
- 4Systems retired
- 70%Less glue code
- <1 quarterReplatform window
More ways to put MonkDB to work, in your domain
Modernize without rebuilding from scratch.
Schauen Sie sich an, wie MonkDB Ihre Dateninfrastruktur vereinheitlichen kann, ohne Kompromisse in Bezug auf Souveränität, Leistung oder Skala.
Buchen Sie eine Demo