Modern Storage for Open Source Databases

Get a Modern Data Experience™ for open-source databases. Convert data into powerful outcomes with the multicloud mobility, container orchestration, and as-a-service flexibility your teams need.

Move Faster, More Simply, with Open Source

Improve application performance and optimize open-source database operations for MySQL, MongoDB, PostgreSQL, and others. Pure solutions help you easily store, safeguard, manage, access and scale your data. And you can avoid disruptions and eliminate hidden costs with our Evergreen™ program.

Fast, Simple, and Reliable

Deliver superior performance for open-source applications with low latency, 99.9999% FlashArray uptime, and an all-flash NVMe architecture. Protect business continuity and mission-critical data while overcoming the limits of DAS to improve outcomes, speed decisions, and reduce complexity.

Cloud Connected

Simplify moving to multicloud with flexible enterprise-grade storage for VM and Kubernetes open-source databases. Build seamless multicloud mobility with a unified data platform. Reliably deploy and operate with the Portworx® Kubernetes data services solution.

Flexible Consumption

Open-source databases provide flexibility and scalability for digital transformation. Match them with data storage that offers a flexible consumption model and total data mobility without big capital investments or risk of underprovisioning.

Optimal Outlook and Planning

Avoid common DAS overprovisioning issues for open-source projects. Right-size your storage capacity allocation with the Pure1 Meta® AI-driven workload planner. Improve planning and budgeting for growth by simulating changes to new and existing workloads.

What is an open source database?

An open source database is any database application with a codebase that is free to view, download, modify, distribute, and reuse. Open source licenses give developers the freedom to build new applications off of existing database technologies.

People also ask:

1. Relational vs. Non-relational (NoSQL) databases

Databases can be broadly categorized into two groups:

  • Relational databases: The traditional data storage architecture for storing structured data. Key value pairs are used to store information into tables consisting of columns and rows. Database queries are conducted using SQL.

  • Non-relational (NoSQL) databases: An alternative data storage architecture well suited to storing unstructured data. Document data stores, column-oriented databases, key-value stores and graph databases are all examples of NoSQL databases. While many of these NoSQL databases technically support SQL-compatible queries, the underlying query strategy is fundamentally different.

2. What are some examples of open-source relational databases?

Common examples of open-source relational databases include:

  • PostgreSQLMySQL

  • MySQL

  • MariaDB

  • SQLite

  • CockroachDB

3. What are some examples of open-source NoSQL databases?

Common examples of open-source NoSQL databases include:

  • MonboDB

  • CouchDB

  • Cassandra

  • Redis

  • Neo4j

Don't Take Our Word for It

We work with the best across all industries.

“The ability of FlashBlade to host such a wide variety of protocols and workloads is one of its most impressive features.”

Ed Hammond
Principal Solutions Architect, Cogo Labs

“It was obvious right away that the data-reduction was way more impactful. We actually got more storage than we expected, and won’t have to buy as much in the future.”

Tony Garza
Infrastructure Team Manager, Frost Bank
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