dZ db OPS
In a world where systems and applications depend on databases while they run mission-critical workloads, the demand for self-healing, self-tuning, self-patching, and self-monitoring without human involvement is high. Embrace dZ DB Ops to run them as-is without human intervention.
As more than 60% rely on database systems to run their workloads without compromising on performance and speed, dZ DB Ops brings agentic intelligence directly to database management. Where traditional database platforms depend on skilled DBAs responding to emerging problems, our platform replaces the reactive cycle of continuous, self-directed intelligence that monitors, tunes, patches, and heals every database under its management.
60%-70% reduction in DBA workload for routine maintenance operations across all managed services
Oracle, PostgreSQL, MySQL, and SQL Server are managed through a unified operational platform
On-premise, cloud, and hybrid database estates can be handled from one consistent interface and policy layer
Purpose-built for operational realities of enterprise database systems that demand high availability, security and compliance, and automated workloads
Governance visibility and compliance standards are built into operations by default
DB Ops increase the efficiency of databases by bringing automation, AI capabilities, continuous integration and deployment, and cross-team collaboration for data-driven organizations. With our platform, organizations can identify problems before they become incidents, resolve issues before they disrupt business scenarios, and prevent recurring through operational intelligence. All these capabilities are delivered across six dimensions, covering the entire scope of enterprise database operational requirements.







Enable reliable, production-ready releases with self-service environment cloning, real-time health checks, and pre-deployment impact analysis, ensuring your databases evolve as fast and confidently as your code.

Leverage proactive performance excellence with dZ DB Ops. By continuously analysing query patterns, resource utilisation, and system health, it identifies and resolves issues for uninterrupted, high-performance database operations.

Built for dynamic, multi-cloud environments, it delivers autonomous operations across hundreds of databases. With cloud-native flexibility, intelligent resource scaling, and migration-ready insights, our platform empowers your database estate to expand, modernise, and adapt without any operational complexity.

By embedding security and compliance into daily operations, it ensures every database stays protected, up-to-date, and audit-ready as threats evolve. From automated patching and access control audits to encryption monitoring and real-time compliance tracking, strengthen your security posture.
When performance degradation compromises entire business and unplanned downtimes lead to severe losses for your enterprise, embed the autonomous capabilities of our platform that are designed to meet enterprise reliability, security, and governance standards without the operational burden, at scale. Each automation reduces the volume of routine work reaching long DBA queues, freeing capacity for the database architecture, data modeling, and performance engineering excellence.
The query optimisation engine is the most immediately impactful capability dZdbOps delivers. Identify expensive queries continuously, analyze their execution plans against current table statistics, evaluate missing index candidates and query rewrite opportunities, and surface recommendations for DBA review or execute approved change types automatically in defined maintenance windows.
The platform automates the complete backup lifecycle including the restore testing that most backup systems never perform. It will power the backup systems to recover databases and protect them continuously. RPO and RTO are derived from real test data.
Resource constraints that emerge as emergencies are almost always predictable weeks in advance. dZ DB Ops surfaces storage growth trends, connection pool utilisation trends, and compute resource forecasts with enough lead time for planned remediation. Automated expansion policies can act on forecasts without requiring manual DBA scheduling.
Security patches scheduled, applied, validated, and rolled back automatically across the entire database estate. Maintenance windows are respected. Rollback is automatic when post-patch tests fail. The patch backlog that accumulates when manual processes cannot keep pace with the volume of patches required is eliminated structurally.
Databases drift from their optimal configuration continuously. This platform monitors every significant configuration parameter against its defined baseline, detects drift as it occurs, and restores optimal settings automatically. Configuration version history maintains a complete record of every change for audit and troubleshooting purposes.
Continuous monitoring across performance, availability, replication lag, lock contention, and resource utilisation metrics. Anomaly detection that distinguishes genuine performance problems from expected variability, reducing alert noise while ensuring genuine issues surface immediately with enough context for rapid diagnosis.
dZdbOps manages Oracle, PostgreSQL, MySQL, and SQL Server databases within a single operational platform. Each database engine’s specific optimisation parameters, patching mechanisms, and backup procedures are handled natively. DBAs managing heterogeneous estates gain a unified view without sacrificing database-specific operational intelligence.
Implement approval workflows for changes that exceed defined autonomy boundaries, ensure that changes requiring human sign-off are routed to the right stakeholders, and maintain the complete audit trail that regulated industries require. Autonomy and accountability are integrated deeply and enabled for your enterprise as you embed our DB Ops platform.
Purpose-built self-healing databases become core part of your infrastructure to deal with the evolving complexities, increasing workloads, and growing data that deliver:



