Open-Source Data Engines: The Cornerstone of Modern Data Workloads
Over the past decade, open-source data engines such as PostgreSQL®, MySQL®, RabbitMQ® and RedisTM have become integral to enterprise operations. Open-source seems to be the way to go, with preferred options for new in-house applications, driven by their flexibility, cost-effectiveness, and rich ecosystem. These engines now power critical workloads across industries, from banking to retail to SaaS applications.
Yet, the rise in adoption comes with a significant challenge: managing open-source databases effectively in increasingly complex infrastructure setups. Enterprises grapple with the balance of leveraging open-source freedom and ensuring enterprise-grade performance, security, and scalability.
The Challenges of Handling Open-Source Databases
Despite their benefits, open-source databases introduce operational complexity and risks, particularly for large-scale enterprise deployments. Here are the key hurdles organizations face:
- Lack of Expertise & Skills
Open-source databases demand expertise in deployment, configuration, and tuning. However, acquiring skilled professionals who understand diverse database engines is challenging. - Complexity in Packaging Dependencies
Creating robust packages with the correct configurations, extensions, and dependencies is arduous. This complexity increases with 35+ OSS PostgreSQL forks offering thousands of extensions, resulting in potential incompatibility and performance issues. - Patches and Vulnerabilities
The distributed and community-driven nature of open-source projects often results in a wide array of dependencies, extensions, and configurations. This makes it difficult for enterprises to stay on top of critical patches and security updates, potentially exposing them to risks like data breaches or system downtime. - Diverse Deployment Scenarios
Enterprises often deploy databases across diverse infrastructures: bare metal, Kubernetes, VMs, and cloud environments. Supporting seamless functionality across all platforms—public and private clouds—requires consistent and robust tooling, which many organizations lack.
Introducing Tanzu Data Services: Enterprise-Grade Open-Source Made Simple
VMware® Tanzu® Data Services transforms the way enterprises handle open-source databases. By combining validated open-source data engines with enterprise-grade features and automated management, it reduces complexity while increasing operational value.
Currently, Tanzu Data Services is comprised of:
- Tanzu RabbitMQ: Based on the world’s most popular message broker – RabbitMQ
- Tanzu for Postgres: Built around PostgreSQL, one of the most widely used open-source relational databases in the world.
- Tanzu for MySQL: Based on MySQL – lightweight, agile database optimized for application development.
- Tanzu for Valkey: A low-latency caching database designed to alleviate the load on operational databases.
What Tanzu Data Services Stands For
Tanzu Data Services supports the leading open-source engines with robust capabilities, including:
- Fleet Management: Automated lifecycle management, from provisioning to patching and backups.
- Enterprise-Grade Engines: Curated and validated distributions for consistency and security.
- Comprehensive Support: 24×7 support from open-source database experts.
- Deployment Flexibility: Operates seamlessly across VMs, Kubernetes, bare metal, and hybrid cloud setups.
- Cost Efficiency: Reduces proprietary licensing, offering significant savings.
Solving Key Challenges for Enterprise Personas
- For CIOs:
Challenge: Achieving agility without compromising governance and cost-efficiency.
Solution: Tanzu Data Services can accelerate database provisioning and simplify compliance with curated engines, delivering agility at a lower total cost of ownership. - For VPs of Infrastructure:
Challenge: Managing infrastructure diversity across multiple platforms.
Solution: With support for Bare Metal, VMs, Kubernetes, private clouds, Tanzu Data Services provides uniform deployment and management across all environments. - For Virtualization Leaders:
Challenge: Ensuring operational resilience with minimal downtime.
Solution: Automated HA clustering, backups, and seamless upgrades reduce risks while maintaining system reliability. - For Data Leaders:
Challenge: Meeting developer demands for rapid database provisioning.
Solution: Tanzu Data Services accelerates workflows with fast provisioning, API-driven automation, and seamless integration with CI/CD pipelines.
Key Features and Value Propositions
- Expert Support: 24×7 access to OSS engine specialists ensures reliability.
- Enterprise-Grade Validation: Curated distributions reduce compatibility issues.
- Cross-Platform Consistency: Uniform management across Kubernetes, bare metal, VMs, and clouds.
- Fleet-Level Management: Automated patching, backups, and upgrades across multiple clusters.
- Cost Efficiency: Reduces proprietary licenses, reducing operational costs.
- Developer Speed: Simplified provisioning empowers developers, accelerating innovation.
- Resilience and Compliance: Automated failover, enhanced security, and audit-ready configurations.
Empowering Enterprise Innovation
Tanzu Data Services is not just a data engine solution—it’s a catalyst for innovation. By addressing open-source complexity, it allows enterprises to focus on what matters: delivering better applications, faster. With expert support, enterprise-grade resilience, and reduced costs, Tanzu Data Services is a partner for organizations aiming to modernize their data strategy while staying agile.
As open-source databases continue to dominate the enterprise landscape, VMware Tanzu Data Services bridges the gap between OSS flexibility and enterprise needs. Whether you’re a CIO focused on agility, a VP aiming for operational efficiency, or a data leader pushing for faster innovation, Tanzu Data Services can simplify complexity and deliver value across the board. It’s time to embrace open-source database management made simple—it’s time for Tanzu Data Services.
Reach out to us to know more.
