More Data, Faster, More Users, More Profitable

HP Vertica allows organizations to store data efficiently and cost-effectively, explore it quickly, and leverage SQL tools to uncover hidden insights within the data.

The Database Evolves into a Big Data Analytics Platform
Databases have always been part of every IT infrastructure. For over three decades, database technologies have evolved into three primary branches:

Mainframes: Organizations that started in this branch were government, financial services, and telecommunications. They thrived as they processed what seemed like large volumes of data and business transactions at the time.
Online Transaction Processing (OLTP) Databases: The client/server model offered affordable computing with the advent of relational OLTP databases. These databases brought consumers and providers closer through the internet in the form of Web applications, CRM/ERP systems, and e-commerce platforms.
Data Warehouses (OLAP): The next branch consolidated all transactional data (HR, Sales, Finance, and more) into operational software that enabled faster analysis. Many database vendors became prominent during this era. Some were new, while others were mere extensions of old OLTP databases. A complete industry of BI and ETL tools emerged.

Big Data Analytics Platforms: Big Data analytics has the potential to far surpass previous generations of database systems. Market leaders recognize that data is their most strategic asset and seek to offer a unique competitive advantage. However, technological evolution alone is not enough. Managing the volume, variety, and velocity of Big Data, as described by Gartner, goes beyond what traditional Data Warehouses can handle. Today, organizations need to analyze massive volumes of structured, semi-structured, and unstructured data at unprecedented speeds with an advanced analytical approach.

The complexity of Big Data lies in how the company manages large volumes of information with great diversity and complexity. The goals are to accelerate innovation and create new business opportunities with a deeper understanding of customers. Faced with this challenge, current data warehousing systems and analytics platforms do not provide the performance or functionality required for today’s needs.

Conceived by legendary database guru Michael Stonebraker, the HP Vertica analytics platform was designed from the ground up to work exclusively with Big Data analytics. Why? Because it’s clear that traditional Data Warehouse practices in business are limiting technologies that result in painful compromises.
HP Vertica provides unmatched elasticity, scalability, performance, and simplicity, delivering performance 50 to 1,000 times faster than traditional solutions and at 30% of the total cost of ownership.

HP Vertica Features and Benefits:

Massive parallel processing for extreme scalability.
Columnar data and optimized storage for incredibly fast query responses.
Standard and advanced SQL for power and familiarity.
High availability with no single point of failure.
HP Vertica Flex Zone for quick exploration of semi-structured data.
Advanced analytics, including predictive analytics, geospatial analysis, and market sentiment analysis.