Speeds time to deploy MySQL, MongoDB and PostgreSQL with flexibility and without lock-in

Percona, a leader in open source database software and services, today announced a preview of its 100% open source Database as a Service (DBaaS), which eliminates vendor lock-in and enables users to maintain control of their data.

As an alternative to public cloud and large enterprise database vendor DBaaS offerings, this on-demand self-service option provides users with a convenient and simple way to deploy databases quickly. Plus, using Percona Kubernetes Operators means it is possible to configure a database once, and deploy it anywhere.

“The future of databases is in the cloud, an approach confirmed by the market and validated by our own customer research,” said Peter Zaitsev, co-founder and CEO of Percona. “We’re taking this one step further by enabling open source databases to be deployed wherever the customer wants them to run - on-premises, in the cloud, or in a hybrid environment. Companies want the flexibility of DBaaS, but they don’t want to be tied to their original decision for all time - as they grow or circumstances change, they want to be able to migrate without lock-in or huge additional expenses.”

The DBaaS supports Percona open source versions of MySQL, MongoDB and PostgreSQL. Critical database management operations such as backup, recovery, and patching will be managed through the Percona Monitoring and Management (PMM) component of Percona DBaaS. PMM is completely open source and provides enhanced automation with monitoring and alerting to find, eliminate, and prevent outages, security issues, and slowdowns in performance across MySQL, MongoDB, PostgreSQL, and MariaDB databases.

Customer trials of Percona DBaaS will start this summer. Businesses interested in being part of this trial can register here.

Easy Deployment, and Management with Kubernetes Operators from Percona

The Kubernetes Operator for Percona Distribution of PostgreSQL is now available in technical preview, making it easier than ever to deploy. The Operator streamlines the process of creating a database so that developers can gain access to resources faster, as well as then ongoing lifecycle management.

There are also new capabilities available in the Kubernetes Operator for Percona Server for MongoDB, which support enterprise mission-critical deployments with features for advanced data recovery. It now includes support for multiple shards, which provides horizontal database scaling, and allows for distribution of data across multiple MongoDB Pods. This is useful for large data sets when a single machine’s overall processing speed or storage capacity is insufficient. The Operator also allows Point-in-Time Recovery, which enables users to roll back the cluster to a specific transaction and time, or even skip a specific transaction. This is important when data needs to be restored to reverse a problem transaction or ransomware attack.

These new product announcements will be discussed in more detail at the annual Percona Live ONLINE Open Source Database Conference 2021 taking place May 12-13.

About Percona

With more than 3,000 customers worldwide, Percona is the only company that delivers enterprise-class solutions for MySQL, MariaDB, MongoDB and PostgreSQL across traditional and cloud-based platforms. The company provides Software, Support, Consulting, and Managed Services to large, well-known global brands such as Cisco Systems, Time Warner Cable, Alcatel-Lucent, Rent the Runway and the BBC, as well as smaller enterprises looking to maximize application performance while streamlining database efficiencies. Well established as thought leaders, Percona experts author content for the Percona Database Performance Blog, and the Percona Live Open Source Database Conferences draw attendees and expert technical speakers from around the world. For more information, visit www.percona.com.

Percona is a registered trademark of Percona LLC. All other registered and unregistered trademarks in this document are the sole property of their respective owners.

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