Hadoop VS Vertica - Big Data Webinar

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Vertica Ranked #1 based on Big Data Revenues. Please check webinar on Hadoop VS RDBMS for Big Data Analytics. Captured are notes from the Webinar.

• Big Data volumes Projected growth by 2020 is 35 ZB

Hadoop Overview

• Support unstructured data processing
• Hadoop / Map reduce programming
• Different type of computations possible 
• Low cost Infrastructure
• Batch Processing based not real time

Survey of Big Data Tools based on Parameters (Deep Analytics not just aggregating Data, Real Time Analytics, Volume of Data)

• Hadoop
• CEP Engines (Complex Event Processing) - Nice Lecture on CEP
• Stats Programs

Veritca seems to succeed in terms of all above parameters. Vertica features listed below

• RDBMS  compliant
• Elastic, Scalable
• Auto tuning feature
• Built in Analytics
• Based on MPP Architecture
• Real time Analytics Support

Vertica Product Details

• Column based Storage Overview (Key differentiator is I/O savings compared to traditional Row based access)
• Support for Column Based Compression
• High Availability Support
• Less storage space required to store data in Vertica compared for Hadoop for same amount of Data

Summary

• Hadoop is good for Exploratory Analysis
• Vertica recommended for Real time /Interactive Analytics. Vertica also provides Hadoop Connector to pull data from Hadoop

Happy Learning!!!