Hadoop and Netezza Comparison – Netezza vs Hadoop

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  • Post last modified:February 27, 2018
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Hadoop and Netezza are basically used with the Bigdata i.e. huge volume of the data. Netezza is used for analytics purpose i.e. OLAP application and Hadoop is used in batch processing. In this article, we will check Hadoop and Netezza Comparison – Netezza vs Hadoop.

Hadoop and Netezza Comparison - Netezza vs Hadoop

These two systems have their own advantages and disadvantages. We will try to compare the features and difference between Hadoop and Netezza.

Read: Netezza and Redshift Comparison – Netezza vs Redshift

Hadoop Features

Following are some of the feature on Hadoop ecosystem:

  • In the Hadoop ecosystem you can process unstructured, structured or semi structured data.
  • Hadoop ecosystem is built on the commodity hardware. Commodity hardware is used to store and process the data. This reduces the cost of hardware.
  • Huge volume of data can be stored into the Hadoop distributed file system.
  • Supports multiple file formats such as Parquet, Json, text etc.
  • Hadoop supports data warehouse framework such as Hive, Impala etc.
  • You can use the HBASE framework to store the transaction data.
  • Hadoop cluster administration is not easy as compared to Netezza or Redshift.
  • The Hadoop ecosystem is not suited for the small amount of data.
  • Hadoop ecosystem is for Bigdata i.e. huge volume of data. And you can scale the system to petabytes by adding more nodes to the system as and when required.
  • The Hadoop clusters are highly scalable. It can be horizontally or vertically scaled by adding more commodity hardware and nodes that are not expensive.
  • The Hadoop ecosystem can handle streaming data, collect data from sensors, store the streaming data etc. Storm is the framework on the top of Hadoop ecosystem to process the streaming data.
  • Data redundancy is built into the Hadoop cluster.
  • Data is replicated to multiple nodes in the cluster. This enables system to recover data in case of commodity hardware failure.
  • Hadoop ecosystem can communicate with various RDBMS using Sqoop tool.

Netezza Data Warehouse Appliance Features

Following are some of the feature on Netezza data warehouse appliance:

Read: Netezza TwinFin Architecture

  • IBM Netezza is a data warehouse appliance that is built on MPP technology.
  • IBM Netezza is a traditional data warehouse appliance that supports traditional SQL statements such as DML, DDL statements. i.e. Inserts, updates, ACID properties.
  • Netezza is based on the MPP technology and is a gigabyte scale data warehousing appliance.
  • System scalability is difficult task. That involves adding more disks and snippet blades.
  • Hardware upgrade is very expensive compared to Hadoop ecosystem.
  • Make use of the proprietary FPGA tool to filter out unwanted data while reading from disk.
  • Depending on the number of SPUs or S-blades, Netezza can handle gigabytes of data and process it at super-fast speed.
  • Netezza supports distribution on column(s) or randomly. The data is distributed on multiple SPUs and they all work together to achieve the high speed data processing.
  • Netezza system will also replicate data to different disks. That enables another disk to take over processing in case of disk failure.
  • Netezza System Administration overhead is very less compared to other RDBMS such as oracle, DB2 etc.
  • IBM provides the Emulator to learn and study the Netezza data warehouse appliance.
  • Netezza is mainly used to analytics purpose that involves the structured data.
  • Netezza will not work best with semi-structured or un-structured data.

This Post Has 2 Comments

  1. nick

    loved it

  2. nick

    useful article

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