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Informatica PowerCenter vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica PowerCenter
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
80
Ranking in other categories
Data Visualization (8th)
Toad Data Point
Ranking in Data Integration
52nd
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Data Preparation Tools (7th)
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Informatica PowerCenter is 10.9%, up from 10.1% compared to the previous year. The mindshare of Toad Data Point is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Lars Borchers - PeerSpot reviewer
A stable and reliable product that provides a variety of features for data integration
The solution is not for newcomers. It has an old touch. The solution must improve the integration with new services. It was part of the program at Informatica when they moved to their cloud platform. It is integrated. However, from an on-premise perspective, we need to buy licenses for PowerExchange. If we want a native driver to access a special service, we need to extend our license to those services. It is expensive. I don't like that it's not all included in the solution.
Steven Scarver - PeerSpot reviewer
Easy to scale, useful auto-formatting, and powerful features
Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently.

Quotes from Members

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

Pros

"It reduces a lot of legacy coding."
"It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use."
"I like the completeness of the way I can build ETL workflows."
"The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."
"In the end, you have structured, proper data for use in an integrated BI solution."
"Can manage a huge quantity of data and provide reliability."
"It's very easy to use it to develop mappings and workflows."
"The ability to scale through partitions helped us to improve the performance."
"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."
"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."
 

Cons

"I would like to see an improvement in the digital adoption."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"They should release new versions for the solution's on-premises setup."
"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."
"It should be more cloud-centric than on-prem-centric."
"Integrating new tools can be tricky and challenging."
"Informatica are very rigid when it comes to cloud migrations which discourages customers in moving their solution to the cloud."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."
"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."
 

Pricing and Cost Advice

"Our customers pay a licensing fee yearly."
"The solution is in the middle price range compared to other solutions."
"I consider this to be an expensive product."
"Pricing for Informatica PowerCenter isn't cheap, but if I compare it with IBM, it's as expensive as IBM, however, Informatica PowerCenter is more innovative, especially when compared to a giant company such as IBM that has thousands of products. Informatica PowerCenter is limited only to data management, but it has new features that come out every quarter. Points for ease of use and flexibility go to Informatica PowerCenter, but price-wise, IBM and Informatica are equal because they're both expensive."
"The pricing for Informatica PowerCenter is expensive. Some clients have simple needs and only want to integrate and store data. Some clients have small needs, while some clients have bigger needs and focus more on performance and time. The licensing cost for Informatica PowerCenter isn't good. In my project, if I remember correctly, the company pays €20,000 per year for the Informatica PowerCenter license. I'm not aware of additional costs that you need to pay for some features of the solution. On a scale of one to five, I'm rating its price a three."
"Licensing costs are excessive and pose an obstacle to someone who lacks familiarity with the solution and wishes to have a proper understanding of it."
"The license model is CPU based."
"I am not sure about the most recent price, but I think it should be $100,000 or more."
"The cost of this product is reasonable."
"The price of Toad Data Point was approximately $500 annually."
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
13%
Manufacturing Company
7%
Insurance Company
7%
Financial Services Firm
37%
Healthcare Company
13%
Government
9%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
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Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Concordia University
Find out what your peers are saying about Informatica PowerCenter vs. Toad Data Point and other solutions. Updated: November 2024.
816,406 professionals have used our research since 2012.