Simplified Database Management

Unified Control and Visibility

Deliver enterprise-hardened database services through a purpose-built solution for VMware Cloud Foundation with high availability, performance, backup, and monitoring.

Automated Management

Reduce cost & complexity with pre-built automation to deploy and manage data services at scale.

Developer-Ready

Accelerate application innovation with self-service, rich APIs & a range of certified data services offerings.

Key Features

One-Stop Deployment

Start quickly managing databases after installing a single Data Services Manager appliance (OVA)

Static IP Address Pool

Provision new databases with designated IPs from the pool, ensuring compliance with IT network and security policies.

Easy Upgrade and Patching

High availability clusters upgrade non-disruptively, while single server instances evaluate upgrade impact from release notes.

Developer-Friendly Kubernetes API

New Kubernetes-style declarative API for smoother database management workflows.

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Database Insights

Access built-in database-centric information for databases managed by Data Services Manager to ensure optimal performance.

Database Configurations Customization

Customize all viable database configuration options, ensuring easy and compliant database provisioning.

Self-Healing for Database High Availability

In the event of a node failure, the system will automatically attempt to bring it back up and synchronize it with the primary node.

Template-Based Resource Control

Leverage the new Infrastructure Policy concept to pool and abstract compute, storage, and network resources into a single construct.

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Database-Level Authentication

Active Directory (LDAP) authentication and integration at per database level basis. 

Integration with Self-Service Tools

Ability to integrate easily with your self-service tools of choice starting with Aria Automation and Kubernetes.

VMware Cloud Foundation

A full-stack, private cloud solution that enables you to accelerate developer productivity, embracing cloud native and AI technologies to deliver apps and services faster to market.

Use Cases for Data Services Manager

Productivity-Database

Application Modernization

With the significant growth in open-source database instances and types due to app modernization, IT teams must modernize their data infrastructure with more automation and practices that ensure reliable, high-quality, and secure data. At the same time, they need to ensure database licensing optimization to control the costs.

Research-Development-Developers

Database-as-a-Service

Ensure that developers can deliver apps with high velocity by providing a self-service solution that allows them to request and start using databases in minutes while ensuring IT compliance.

Research-Development-Security-Streamline-Compliance

Data Privacy and Regulatory Compliance at Scale

Strengthen the privacy and compliance of all your data stored in databases running on vSphere from a single pane of glass.

Technology-Devices-Server

Database Virtualization and Consolidation

Get VMware Cloud Foundation benefits such resource optimization, avoid DB sprawls, standardized life cycle management applied to your databases.

Private AI

Vector databases have become very important for RAG workflows. They enable fast querying of data and real-time updates to enhance the outputs of the LLMs without requiring retraining of those LLMs, which can be very costly and time-consuming. These have become the de facto standard for GenAI and RAG workloads. Data services Manager delivers and manages vector databases by leveraging pgvector on PostgreSQL. Read the Reference Architecture

Modernize
Productivity-Database

Application Modernization

With the significant growth in open-source database instances and types due to app modernization, IT teams must modernize their data infrastructure with more automation and practices that ensure reliable, high-quality, and secure data. At the same time, they need to ensure database licensing optimization to control the costs.

Accelerate
Research-Development-Developers

Database-as-a-Service

Ensure that developers can deliver apps with high velocity by providing a self-service solution that allows them to request and start using databases in minutes while ensuring IT compliance.

Privacy & Compliance
Research-Development-Security-Streamline-Compliance

Data Privacy and Regulatory Compliance at Scale

Strengthen the privacy and compliance of all your data stored in databases running on vSphere from a single pane of glass.

Virtualization and Consolidation
Technology-Devices-Server

Database Virtualization and Consolidation

Get VMware Cloud Foundation benefits such resource optimization, avoid DB sprawls, standardized life cycle management applied to your databases.

Private AI

Private AI

Vector databases have become very important for RAG workflows. They enable fast querying of data and real-time updates to enhance the outputs of the LLMs without requiring retraining of those LLMs, which can be very costly and time-consuming. These have become the de facto standard for GenAI and RAG workloads. Data services Manager delivers and manages vector databases by leveraging pgvector on PostgreSQL. Read the Reference Architecture

Learn, Evaluate, Implement

Resources

Explore technical documentation, reports, trial, communities and more.

Partners

Find trusted partners who can expertly deliver and extend the value of your investment.

Documentation

Explore Data Services Manager documentation for information on setup, user roles, console management and more.

Ready to Get Started?