The problems DBOps
solves
This product was built to solve the recurring operational and development challenges found in real environments like the ones below.
A web-based ETL console that manages the entire lifecycle of your data pipeline on one screen — from source connection to mart loading, quality, anomaly detection, and cost. An information-dense data operations console in the style of Notion / Retool. Existing solutions were either not operator-friendly or built in a way that piled up maintenance costs. UNISYS redesigned this into a product that's owned all the way through operations.
Key Features
The core features DBOps provides. Every feature is delivered in an operable form.
Operations dashboard · Real-time monitoring
Monitor pipeline health, throughput, and system status on one screen. Provides a Dashboard (6 KPIs · sparklines · ingestion line chart · day×hour heatmap), a live running-job stream (rows/sec · progress bar), CDC monitoring (lag · throughput, 1.5s refresh), and real-time log streaming of job run history.
Visual ETL builder
Connect the full source → staging → mart path node-by-node, no code. An 8-step pipeline Wizard, node-based Table Mapping / Column Mapping (ReactFlow), 22 transform functions + 8 table operations (30+ transforms), and per-step YAML/SQL preview with Dry Run.
Data governance
Manage the meaning, owner, sensitivity, and contracts of data assets and block changes upfront. Includes a data catalog (PII · sensitivity labels), Schema Diff (auto migration SQL), Schema Contract (automatic breaking-change detection), an immutable audit log (before/after diff · 24-month retention), and an RBAC permission matrix.
Data quality · Anomaly detection
Catch issues statistically before data breaks. 9 quality rules (not_null · unique · min/max · accepted_values · row_count · freshness · referential · custom_sql), a rule builder (auto SQL generation), and anomaly detection with 3 statistical methods (z-score · EWMA · PSI) plus incident tracking.
Operations · Cost optimization
Go beyond observation to control and cost. Cost tracking (rows · bytes · CPU · storage) with savings recommendations, safe historical reprocessing (Backfill · impact estimation · Dry Run), freshness SLA & violation heatmap, Incidents (MTTA/MTTR · postmortems), and GitOps/PR-based change tracking.
Multi-environment · Localization · Command palette
A console with built-in safeguards for global teams. An environment switcher (prod / stg / dev, color guards to prevent destructive actions), a command palette (⌘K) for unified search/navigation, localization (Korean · 日本語 · English), and full token-based light/dark themes.
Technical Architecture
An overview of the technologies DBOps runs on.
Frequently Asked Questions
The questions we hear most often when evaluating adoption.