Cloudera Manager vs. Informatica PowerCenter

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Manager
Score 9.7 out of 10
N/A
Cloudera Manager is a management application for Apache Hadoop and the enterprise data hub, from Cloudera. Its automated wizards let users quickly deploy a cluster, no matter what the scale or the deployment environment, complete with intelligent, system-based default settings.
$0.07
per hour CCU
Informatica PowerCenter
Score 7.7 out of 10
N/A
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.N/A
Pricing
Cloudera ManagerInformatica PowerCenter
Editions & Modules
Data Hub
$0.04/CCU
Hourly rate
Data Engineering
$0.07/CCU
Hourly rate
Data Warehouse
$0.07/CCU
Hourly rate
Operational Database
$0.08/CCU
Hourly rate
Flow Management on Data Hub
$0.15/CCU
Hourly rate
Machine Learning
$0.17/CCU
Hourly rate
DataFlow
$0.30/CCU
Hourly rate
No answers on this topic
Offerings
Pricing Offerings
Cloudera ManagerInformatica PowerCenter
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing is per Cloudera Compute Unit (CCU) which is a combination of Core and Memory. CCU prices shown for each service are estimates and may vary depending on actual instance types. The prices reflected do not include infrastructure cost, networking costs, and other related costs which will vary depending on the services you choose and your cloud service provider.
More Pricing Information
Community Pulse
Cloudera ManagerInformatica PowerCenter
Top Pros
Top Cons
Features
Cloudera ManagerInformatica PowerCenter
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Cloudera Manager
-
Ratings
Informatica PowerCenter
8.5
18 Ratings
2% above category average
Connect to traditional data sources00 Ratings9.018 Ratings
Connecto to Big Data and NoSQL00 Ratings8.014 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Cloudera Manager
-
Ratings
Informatica PowerCenter
7.5
18 Ratings
10% below category average
Simple transformations00 Ratings8.018 Ratings
Complex transformations00 Ratings7.018 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Cloudera Manager
-
Ratings
Informatica PowerCenter
8.2
18 Ratings
2% above category average
Data model creation00 Ratings9.015 Ratings
Metadata management00 Ratings8.016 Ratings
Business rules and workflow00 Ratings9.018 Ratings
Collaboration00 Ratings6.116 Ratings
Testing and debugging00 Ratings9.017 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Cloudera Manager
-
Ratings
Informatica PowerCenter
9.0
15 Ratings
8% above category average
Integration with data quality tools00 Ratings9.015 Ratings
Integration with MDM tools00 Ratings9.013 Ratings
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Cloudera ManagerInformatica PowerCenter
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Score 9.7 out of 10
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User Ratings
Cloudera ManagerInformatica PowerCenter
Likelihood to Recommend
8.5
(2 ratings)
8.0
(21 ratings)
Likelihood to Renew
8.5
(2 ratings)
10.0
(4 ratings)
Usability
-
(0 ratings)
9.0
(3 ratings)
Performance
-
(0 ratings)
9.4
(2 ratings)
Support Rating
-
(0 ratings)
9.0
(2 ratings)
User Testimonials
Cloudera ManagerInformatica PowerCenter
Likelihood to Recommend
Cloudera
It would be suited for customers who feel more comfortable with using a GUI. It is less appropriate for developers or engineers who are comfortable with command line
Read full review
Informatica
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
Read full review
Pros
Cloudera
  • Graphical user interface
  • Management of third party applications start/stop/restart functionality through framework
  • Support of Apache Hadoop ecosystem
  • Ability to do "rolling restarts"
Read full review
Informatica
  • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
  • Great documentation and customer support.
  • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
Read full review
Cons
Cloudera
  • Cloudera Manager needs to be more agile with integrating other applications, such as Accumulo 1.7, to their software.
  • Cloudera Manager can do a better job at explaining why a node fails to add to a cluster using their assistant.
  • Cloudera Manager should show graphs only when there is data, instead of showing just an empty box.
Read full review
Informatica
  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
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Likelihood to Renew
Cloudera
It is a well developed product with a good user interface.
Read full review
Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
Read full review
Usability
Cloudera
No answers on this topic
Informatica
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
Read full review
Performance
Cloudera
No answers on this topic
Informatica
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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Support Rating
Cloudera
No answers on this topic
Informatica
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
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Alternatives Considered
Cloudera
I have not used any competitors, such as Hortonworks, because Cloudera Manager just works and meets all my customer's needs. I only have deployed Hadoop using command line, which is not easy to use and manage.
Read full review
Informatica
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
Read full review
Return on Investment
Cloudera
  • Cloudera Manager has allowed our organization to deploy Apache Hadoop to operations quicker and with less training versus using the command line exclusively.
  • Increased employee efficiency.
  • Increased product adoption.
Read full review
Informatica
  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
Read full review
ScreenShots