Data Warehouse

Power Data Warehouse and Streaming Analytics Pipelines

Power high speed, data-driven decisions by running data pipelines for modern data warehouses, data lakes and real-time streaming analytics. Get cloud-scale benefits and economics with on-prem control and consistency.

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Data Warehouse Solutions

Overview

Benefits

Customer Stories

Partnerships

Resources

FAQ

Data Warehouse Solutions

Overview

Benefits

Customer Stories

Partnerships

Resources

FAQ

A New Approach to Analytic Engines

Ongoing growth in data is driving the need for a fresh approach to analytics pipelines by disaggregating compute and storage. Scale analytics deployments without compromising performance to power business intelligence and real-time analytics.

Containerize Modern Data Pipelines

Accelerate Time to Insight

Deploying fast object storage on-premises increases choice and reduces risk via a cloud-native architecture. Pure Storage accelerates time to insight with fast “time to first byte” and high throughput, while uncomplicating storage operations for easy deployments.

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Consolidate and Scale Workloads

Enterprise workloads demand flexibility. Say goodbye to data silos. Disaggregated storage from Pure Storage scales elastically as a single high-performance source of data. Run multiple isolated workloads and leverage on-demand compute for faster insights.

Simplify Your Workflows

Focus more on results and applications, not on complex management of infrastructure. Start quickly, provision infrastructure with ease as you scale, and upgrade non-disruptively with a cloud-like experience.

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“With Vertica on Pure Storage, we have a 360-degree view of customers and fast, sophisticated analytics to provide all sorts of insights to the business – fueling customer success.”

Chris "CB" Bohn

Principal Data Engineer, Micro Focus

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“In the era of intelligence, data is our most critical asset, providing us with a competitive edge. With Pure Storage FlashBlade®, we have a reliable and fast storage system that is easy to manage..”

Calvin Cheng

Head of Information Technology, KGI Asia Limited

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Expand your ability to manage workloads dynamically and simplify operations beyond public clouds.

Increase data accessibility and unlock the value of your on-prem data.

Drive real-time intelligence with the first-ever, on-premises tiered storage solution for streaming data.

Data Warehouse Resources

Featured Infographic

Vertica in Eon Mode for Pure Storage

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Featured Solution Brief

Modernize Analytics with Vertica and Pure

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Featured Solution Brief

Enhance Data Lakehouse Infrastructure

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What is a data warehouse?

A data warehouse is a storage system optimised for storing structured data to perform the high-speed SQL queries needed to deliver timely business intelligence (BI). From processing high-speed transactions to predictive analytics, data warehouses have a decades-long history as the de facto storage standard used by enterprises to power their BI.

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1. What are the benefits of data warehouses?

Benefits of data warehouses include:

Consolidation of structured data from multiple disparate sources
Fast analytical queries from relational databases
A dedicated storage solution for cheaper queries and quicker reporting

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2. Data warehouse vs. data lake vs. data hub. What’s the difference?

The differences between data warehouses, data lakes, and data hubs are as follows:

Data warehouse: A single repository for integrating and storing structured data pulled from multiple unstructured data sources across your organisation.
Data lake: A single unrefined repository of all the structured and unstructured raw data sources within an organisation (including data warehouses). Data must still be processed to extract BI insights.
Data hub: A single interface that consolidates all data—both structured and unstructured—into a central accessible data layer. It differs from a data warehouse in that it can also handle operational data and it differs from a data lake by possessing the ability to serve data in multiple formats.

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3. Why consolidate your data warehouses into a data hub?

Data hubs provide the data governance needed to streamline data sharing between a diverse collection of endpoints. In this way, data hubs consolidate data lakes and data warehouses into a single access layer. Data processing is abstracted away behind the data hub, giving your organisation a centralized place to extract BI insights.

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