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.
Improve application performance and optimise open-source database operations for MySQL, MariaDB, 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//Forever™ program.
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.
Get enterprise-grade cloud storage for open source databases. Pure Cloud Block Store™ provides seamless data mobility with simple, efficient replication. Accelerate digital transformation with Portworx®, the most complete Kubernetes data-services platform.
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.
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.
Pure Storage is positioned as A Leader once again in the 2022 Gartner® Magic Quadrant™ for Primary Storage.
Discover how to overcome today’s database challenges and transform how your data is used with Pure’s accelerated data solutions.
Explore features that optimise database operations, simplify data management, and protect your data.
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.
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.
Common examples of open-source relational databases include:
PostGreSQL
MySQL
MariaDB
SQLite
CockroachDB
Common examples of open-source NoSQL databases include:
MongoDB
CouchDB
Cassandra
Redis
Neo4j
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.”
“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.”
Let’s talk. Book a 1:1 meeting with one of our experts to discuss your specific needs.
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