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ETL TOOLs

ETL Tools are meant to extract, transform and load the data into Data Warehouse for decision making. Before the evolution of ETL Tools, the above mentioned ETL process was done manually by using SQL code created by programmers. This task was tedious and cumbersome in many cases since it involved many resources, complex coding and more work hours. On top of it, maintaining the code placed a great challenge among the programmers.

These difficulties are eliminated by ETL Tools since they are very powerful and they offer many advantages in all stages of ETL process starting from extraction, data cleansing, data profiling, transformation, debuggging and loading into data warehouse when compared to the old method.

There are a number of ETL tools available in the market to do ETL process the data according to business/technical requirements. Following are some those.

Pentaho Kettle

Informatica PowerCenter

Inaplex Inaport

Talend

Parameters:

Some are the parameters to compare etl tools

Total Cost of Ownership

Total Cost of Ownership means the over all cost for a certain product.This can mean initia ordering, licensing servicing, support, training, consulting,and any other additional payments that need to be made before the product is in full use.Commercial Open Source products are typically free to use, but the support,training and consulting are what companies need to pay for.

Risk

There are always risks with projects, especially big projects.

The risks for projects failing are:

Going over budget Going over schedule Not completing the requirements or expectations of the customers

Open Source products have much lower risk then Commercial ones since they do not restrict the use of their products by pricey licenses.

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Comparison of ETL Tools

Parameters Pentaho kettle Informatica power center

Inaplx inaport Talend

Ease of use Most easy GUI require little training

Easy GUI,require appropriate training

Not well GUI Does have GUI as an add-on

Data quality has DQ features in its GUI, also has some additional modules after subscribing

Its product Informatica Data Quality has many DQ features.

does have DQ features.

has DQ features in its GUI,

Speed Java-connector slows it down. requires manual tweaking. Can be clustered by placed on many machines to reduce network traffic.

It is the fastest tool. It has an advanced “PushDown” option that localizes transformation tasks depending on how busy the machine is.

does not use any special techniques to improve speed

It requires manual tweaking and prior knowledge of the specific data source to reduce network traffic and processing.

Connectivity Can connect to all the current databases, flat files,xml files, excel files and web services.

mainframes, flat files, excel files and web services. It can also export as a web service.

Can connect to any(windows) connection. usually gets its data from outlook, ACT and excel files.

flat files, xml files, excel files and webservices, but is reliant on Java drivers to connect to those data sources.

Support offers support from UK ,US and consultancy partner in Hongkong

World wide support

Mainly resides in UK

Offers support but mainly resides in US

Space required one 1Ghz CPU and 512mbs ram

two CPUs with 1Gb ram for Standard Edition Server

one CPU with 50mbs ram. I

one 1Ghz CPU and 512mbs ram

Platform required

Is a stand-alone java engine that can run on any machine that can run java.

Windows, Solaris, HP-UX, IBM-UX, Redhat, SUSE linux

Can run on any windows platform that has .NET 2.0 installed

Creates a java file or perl file that can be run on any machine with very little resource

Risk Low risk High risk Medium risk Low riskCost effectively Medium High cost then

other toolsmedium medium

Type commercial open-source BI suite

commercial data integration suite

open-source data integration tool

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Ease of Use

All of the ETL tools, apart from Inaport, have GUI to simplify the development process. Having a good GUI also reduces the time to train and use the tools.

Support

Nowadays, all software products have support and all of the ETL tool providers offer support.

Speed

The speed of ETL tools depends largely on the data that needs to be transferred over the network and the processing power involved in transforming the data.

Data Quality

Data Quality is fast becoming the most important feature in any data integration tool.

Connectivity

In most cases, ETL tools transfer data from legacy systems. Their connectivity is very important to the usefulness of the ETL tools.

Conclusion:

By the comparing some of etl tools it is concluded that informatica and pentaho are good enough then other tools nd have wide vriety of products.informatica has larg vriety of products handling bussines processes and commercially have a place at market but its expensive then pentaho and have more risk in failing projects then pentaho.

It is proved by MySQL and many of companies by their case studies that pentaho can handle small to large scale systems.Pentaho is gaining fast momentum with businesses that would not have considered using open source products before.