Solution · 09
データと AI のモダナイゼーション
レガシースタックをひとつの統合プラットフォームに置き換えます。
断片化したデータと AI アーキテクチャをひとつのリアルタイム実行システムへとモダナイズします。
LEGACY DB
WAREHOUSE
VECTOR
STREAM
MONKDB
5×
Systems retired typically
70%
Pipeline glue removed
1 quarter
Time-to-ROI
0
Vendor lock-in
Why this matters
継ぎ接ぎのアーキテクチャから統合実行へ
レガシーアーキテクチャは複雑で高コスト、低速です。MonkDB はそれらをひとつの統合実行プラットフォームに集約します。
TCO 削減、出荷の高速化、抵抗の軽減。
What you get
What MonkDB makes possible for データと ai のモダナイゼーション
0101 / 04
Consolidation of multiple systems into one
Replace databases, pipelines, vector DBs, and AI layers with a single engine.
0202 / 04
Elimination of pipelines and redundant layers
No more brittle ETL maintenance.
0303 / 04
Real-time processing and AI integration
Streaming, vectors, and SQL operate in the same plane.
0404 / 04
Faster deployment and lower operational overhead
One binary. One contract. One ops surface.
How it works
Three steps, one continuous loop
ASSESS
1Map the legacy stack
Identify the 5–7 systems and ETL paths MonkDB can collapse into one engine.
MIGRATE
2Replace, do not retro-fit
Replatform onto a single binary. Open Iceberg formats keep your data portable.
OPERATE
3Run 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.
Outcome in numbers
- 4Systems retired
- 70%Less glue code
- <1 quarterReplatform window
Other solutions