Compare Google Cloud Datalab vs. Informatica PowerCenter

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Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"All of the features of this product are quite good."

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"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better.""The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage.""In the end, you have structured, proper data for use in an integrated BI solution.""The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand.""Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical.""The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution.""The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed.""The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."

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Cons
"The interface should be more user-friendly."

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"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better.""As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good.""Integration with Artificial Intelligence would benefit this solution.""I would like to see an improvement in the digital adoption.""The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica.""Include more instruments for LOGs analysis, interpretation, and job corrections.""I found it is kind of weird that not all of the mapping changes are treated as true changes.""The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer."

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Pricing and Cost Advice
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"Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis.""Its maintenance is expensive.""It's much more expensive, almost three times more expensive than most other solutions.""We are satisfied with the pricing.""I consider this to be an expensive product.""It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise.""The price of this solution is high.""Our client has purchased the license, and we are using it."

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Top Answer: Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target,… more »
Top Answer: Our client has purchased the license, and we are using it.
Top Answer: Its scalability can be improved. It is not scalable.
Ranking
9th
out of 59 in Data Visualization
Views
3,034
Comparisons
2,669
Reviews
1
Average Words per Review
303
Rating
8.0
2nd
out of 59 in Data Visualization
Views
38,534
Comparisons
31,492
Reviews
21
Average Words per Review
417
Rating
8.2
Popular Comparisons
Also Known As
PowerCenter
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Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.

Offer
Learn more about Google Cloud Datalab
Learn more about Informatica PowerCenter
Sample Customers
Information Not Available
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Top Industries
VISITORS READING REVIEWS
Comms Service Provider25%
Computer Software Company22%
Financial Services Firm11%
Retailer7%
REVIEWERS
Computer Software Company19%
Financial Services Firm15%
Retailer11%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider13%
Financial Services Firm8%
Insurance Company6%
Company Size
No Data Available
REVIEWERS
Small Business14%
Midsize Enterprise10%
Large Enterprise76%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise20%
Large Enterprise61%
Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: June 2021.
509,570 professionals have used our research since 2012.

Google Cloud Datalab is ranked 9th in Data Visualization with 1 review while Informatica PowerCenter is ranked 2nd in Data Visualization with 22 reviews. Google Cloud Datalab is rated 8.0, while Informatica PowerCenter is rated 8.2. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". On the other hand, the top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and MathWorks Matlab, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Azure Data Factory, Oracle Data Integrator (ODI) and Informatica PowerExchange.

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