The Evolution of the Database to a Big Data Analytics Platform
Databases are a staple of IT infrastructure. For more than three decades, databases technologies have evolved in three primary waves:
Organizations that caught this first wave, including government, financial services, and telecommunications, flourished as they processed, at the time, seemingly high volumes of business transactions.
Online Transactional Processing (OLTP) Databases
The client/server model offered affordable computing with the birth of relational, OLTP databases. These databases became even more widely accessible to consumers and suppliers through the Internet in the form of dynamic Web applications, CRM/ERP, and e-commerce systems.
The next wave brought all of this transactional data — HR, Sales, Finance and more — together with operational software for analytical insight. Several database vendors came to prominence during this era. Some were new and some were extensions of old OLTP databases. In addition, an entire industry of BI and ETL tools rose to prominence.
The Fourth Wave: Big Data Analytics Platforms
Big Data Analytics has the potential to crest all preceding waves. Market leaders recognize that data is their most strategic asset and offers unique competitive advantage. But technology evolution is not enough. Handling the volume, variety and velocity of Big Data, as Gartner describes it, goes far beyond what traditional data warehouses were ever designed to handle.
Today, organizations need to analyze massive volumes of data — structured, semi-structured, and unstructured — at unprecedented speed and with a more advanced analytics approach.
HP Vertica Analytics Platform: No Limits, No Compromises
Conceived by legendary database guru Michael Stonebraker, the HP Vertica Analytics Platform was purpose built from the first line of code for Big Data Analytics. Why? Because it was clear that data warehouses and “business-as-usual” practices were limiting technologies, causing businesses to make painful compromises.
The HP Vertica Analytics Platform was consciously designed with speed, scalability, simplicity, and openness at its core and architected to handle analytical workloads via a distributed compressed columnar architecture. HP Vertica provides blazing-fast speed (queries run 50-1,000x faster), petabyte-scale (store 10-30x more data per server), and openness and simplicity (use any BI/ETL tools, Hadoop, etc.) — all at 30% of the cost of traditional data warehouse solutions.
queries run 50-1,000x faster
store 10-30x more data per server
use any BI/ETL tools, Hadoop, etc.