Hadoop vs IBM InfoSphere DataStage | TrustRadius

What users are saying about

Score 8.4 out of 10

Based on 245 reviews and ratings

Score 8.2 out of 10

Based on 16 reviews and ratings

Feature Rating Comparison

Hadoop

IBM InfoSphere DataStage

Connect to traditional data sources

Connecto to Big Data and NoSQL

Hadoop

IBM InfoSphere DataStage

Simple transformations

Complex transformations

Hadoop

IBM InfoSphere DataStage

Data model creation

Metadata management

Business rules and workflow

Collaboration

Testing and debugging

feature 1

Hadoop

IBM InfoSphere DataStage

Integration with data quality tools

Integration with MDM tools

Pros

HDFS is reliable and solid, and in my experience with it, there are very few problems using it
Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
It provides High Scalability and Redundancy
Horizontal scaling and distributed architecture

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Bharadwaj (Brad) Chivukula

Sr. Engineering Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

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Very reliable in handling data extraction, data transformation and loading
Flexibility in connecting to different type of databases, relational or non-relational
Great features such as parallel processing, hash handling, etc.
You can also take advantage of its FTP functions, and scheduling features if you need to.

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Verified User

Manager in Information Technology

Financial Services Company, 51-200 employees

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Cons

Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
Hadoop cannot be used for running interactive jobs or analytics.

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Mrugen Deshmukh

Senior Software Engineer

San Jose State UniversityComputer Software, 51-200 employees

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You must understand and know the algorithms, since the wrong use of them generates more time in processing.
Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.

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Verified User

Team Lead in Customer Service

Logistics and Supply Chain Company, 201-500 employees

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Likelihood to Renew

Hadoop 9.6

Based on 8 answers

Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free

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Senior Vice President

IpsosInformation Technology and Services, 10,001+ employees

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No score

No answers yet

No answers on this topic

Usability

Hadoop 8.5

Based on 5 answers

Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.

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Senior Financial Analyst

Lowe's Companies, Inc.Retail, 10,001+ employees

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IBM InfoSphere DataStage 9.0

Based on 2 answers

Our development teams in the company can easily achieve and develop any ETL scripts that are needed to massage and move the data as needed. The company has also maintain this tool for a very long time making it automatic when it comes to ETL needs. We are currently trying to make DataStage our main and probably unique ETL tool

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Herber Gonzalez

Lead Developer

Office DepotRetail, 10,001+ employees

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Performance

Hadoop 8.0

Based on 2 answers

No answer on this topic is available.

IBM InfoSphere DataStage 9.0

Based on 1 answer

It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records.It is necessary to have people with experience to be able to determine which algorithm to use and understand why.

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Verified User

Team Lead in Customer Service

Logistics and Supply Chain Company, 201-500 employees

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Support Rating

Hadoop 6.9

Based on 6 answers

We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.

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Vice President, Chief Architect, Development Manager and Software Engineer

WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees

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IBM InfoSphere DataStage 5.6

Based on 4 answers

I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.

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Filippo Orlando

Data Analyst | Data Developer - Advanced Analytics

Unieuro S.p.A.Retail, 1001-5000 employees

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Online Training

Hadoop 6.1

Based on 2 answers

Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.

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Senior Vice President

IpsosInformation Technology and Services, 10,001+ employees

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No score

No answers yet

No answers on this topic

Alternatives Considered

Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.

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Verified User

Engineer in Engineering

Computer Software Company, 51-200 employees

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DataStage offers better integration capabilities without the need to write code manually. It also has a native ETL engine whereas MSIS requires a SQL Server. It has better integration capabilities with data quality, data profiling and data governance tools. The main drawback of DataStage vs. MSIS is pricing.

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Gonzalo Angeleri

Regional Product & Solution Architect Manager

GRUPO DATCOInformation Technology and Services, 501-1000 employees

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Return on Investment

Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.

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Senior Network Administrator

Vizient, Inc.Hospital & Health Care, 1001-5000 employees

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Provides us an excellent ETL application
Made our data handling easy
Provide the business with high quality reports

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Verified User

Manager in Information Technology

Financial Services Company, 51-200 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

Yes

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

Hadoop

IBM InfoSphere DataStage

Hadoop

IBM InfoSphere DataStage

Hadoop

IBM InfoSphere DataStage

Hadoop

IBM InfoSphere DataStage

Hadoop

IBM InfoSphere DataStage

Hadoop

IBM InfoSphere DataStage

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