Get more value from your data with an easy-to-deploy,
high-performance, agile data experience for the delivery of real-time, modern analytics and AI.
Pure delivers a modern experience to turn bottlenecks into breakthroughs. Pure’s analytics and AI solutions simplify operations, power analytics, and transform legacy infrastructure for agile delivery with modern structured and unstructured data.
Simplify operations, so you can focus on insights. Own efficient, disaggregated storage that’s easy to install and upgrade, and requires no performance tuning. Plan for capacity and performance with Pure1® management and run Kubernetes hassle-free with Portworx.
Speed analytics at any scale with consistent, predictable performance. Supercharge data operations and search. Optimize bursty indexers. Ingest more data with high throughput or use low-latency all-flash systems to speed time to insight.
Adapt to any workload and power every analytics tool with agile infrastructure. Gain hybrid-cloud agility with unified fast file and object support, Kubernetes-anywhere deployment with Portworx, and Pure as-a-Service™ for cloud-like consumption on premises.
for Distributed File Systems & Object Storage
Find out what’s driving the exponential growth in data in this four-part series and learn how Pure Storage can help you uncover the valuable insights that organizations now need to achieve success.
Data analytics is the process of extracting actionable insights from raw data. For companies, it’s about applying the right analytical techniques to identify hidden patterns and trends that you can leverage to improve your business.
The four main types of data analytics are:
Descriptive analytics: Used to characterize what has happened over time (e.g., tracking the mileage on your car)
Diagnostic analytics: Used to determine why something has happened or is occurring (e.g., leveraging event log files to determine the root cause of a crash)
Predictive analytics: Used to predict or forecast future events (e.g., predicting bottlenecks in your data storage needs)
Measurement is the key to improvement, which is why everything from apps and IoT devices to servers and cloud services automatically generate log files containing useful metrics that report on the operational status of the machine or program’s behavior during runtime. Log analytics is the practice of analyzing these log files to extract actionable insights.
The benefits of monitoring and analyzing your data storage system include:
Improved decision-making: Predictive analytics can help you make better decisions for improvements and upgrades, preventing storage issues before they occur.
Enhanced security: Granular visibility of the health and performance of your data storage system can help you improve security.
No hardware, no setup, no cost—no problem. Experience a self-service instance of Pure1® and see how easy it is to scale every tool from ingest to visualization.
We work with the best across all industries.
“Pure is a huge win for us because it keeps us ahead of the competition.”
“Our data works as hard as our delivery drivers. It’s all about speed—the ability to ingest data, analyze it, and feed it back into actionable channels.”
