What users are saying about
245 Ratings
245 Ratings
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Score 8.4 out of 100
16 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

Hadoop

Apache Hadoop (and its subsequent add-ons) are well-suited to larger, unstructured data flows, such as aggregation of web traffic or advertising. Geospatial algorithms and their outputs are well-suited for this kind of aggregation as structuring that data is challenging, but leaving it unstructured and performing queries as-needed is a better fit for most business models. With the advent of data science, I would expect Hadoop fits a LOT of their initial outputs quite well.
Joe Hughes | TrustRadius Reviewer

IBM InfoSphere DataStage

DataStage is well suited for any size of company that's looking to move, transform, clean data and easily create data-warehouses that would help to make data ready to be presented for decision making. Data Stage would easily integrate with companies that use IBM DB2 as their main RDBMS.A scenario where it less suited could be cost. I have noticed IBM tools tend to be a little more costly than average.
Herber Gonzalez | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Hadoop
IBM InfoSphere DataStage
6.6
Connect to traditional data sources
Hadoop
IBM InfoSphere DataStage
8.9
Connecto to Big Data and NoSQL
Hadoop
IBM InfoSphere DataStage
4.3

Data Transformations

Hadoop
IBM InfoSphere DataStage
8.9
Simple transformations
Hadoop
IBM InfoSphere DataStage
9.3
Complex transformations
Hadoop
IBM InfoSphere DataStage
8.4

Data Modeling

Hadoop
IBM InfoSphere DataStage
6.8
Data model creation
Hadoop
IBM InfoSphere DataStage
5.9
Metadata management
Hadoop
IBM InfoSphere DataStage
6.2
Business rules and workflow
Hadoop
IBM InfoSphere DataStage
8.3
Collaboration
Hadoop
IBM InfoSphere DataStage
5.2
Testing and debugging
Hadoop
IBM InfoSphere DataStage
7.1
feature 1
Hadoop
IBM InfoSphere DataStage
8.0

Data Governance

Hadoop
IBM InfoSphere DataStage
6.3
Integration with data quality tools
Hadoop
IBM InfoSphere DataStage
7.3
Integration with MDM tools
Hadoop
IBM InfoSphere DataStage
5.2

Pros

Hadoop

  • 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
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

IBM InfoSphere DataStage

  • 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.
Anonymous | TrustRadius Reviewer

Cons

Hadoop

  • 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.
Mrugen Deshmukh | TrustRadius Reviewer

IBM InfoSphere DataStage

  • 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.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Hadoop

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
Bhushan Lakhe | TrustRadius Reviewer

IBM InfoSphere DataStage

No score
No answers yet
No answers on this topic

Usability

Hadoop

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.
Blake Baron | TrustRadius Reviewer

IBM InfoSphere DataStage

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
Herber Gonzalez | TrustRadius Reviewer

Performance

Hadoop

Hadoop 8.0
Based on 2 answers
No answer on this topic is available.

IBM InfoSphere DataStage

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.
Anonymous | TrustRadius Reviewer

Support Rating

Hadoop

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.
Gene Baker | TrustRadius Reviewer

IBM InfoSphere DataStage

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.
Filippo Orlando | TrustRadius Reviewer

Online Training

Hadoop

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.
Bhushan Lakhe | TrustRadius Reviewer

IBM InfoSphere DataStage

No score
No answers yet
No answers on this topic

Alternatives Considered

Hadoop

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.
Anonymous | TrustRadius Reviewer

IBM InfoSphere DataStage

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.
Gonzalo Angeleri | TrustRadius Reviewer

Return on Investment

Hadoop

  • 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.
Mark McCully | TrustRadius Reviewer

IBM InfoSphere DataStage

  • Provides us an excellent ETL application
  • Made our data handling easy
  • Provide the business with high quality reports
Anonymous | TrustRadius Reviewer

Pricing Details

Hadoop

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM InfoSphere DataStage

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Hadoop
8.2
IBM InfoSphere DataStage
8.1

Likelihood to Renew

Hadoop
9.6
IBM InfoSphere DataStage

Usability

Hadoop
8.5
IBM InfoSphere DataStage
9.0

Performance

Hadoop
8.0
IBM InfoSphere DataStage
9.0

Support Rating

Hadoop
6.9
IBM InfoSphere DataStage
5.6

Online Training

Hadoop
6.1
IBM InfoSphere DataStage

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