Boomi vs. Informatica Cloud Data Quality

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Boomi
Score 7.9 out of 10
N/A
Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code interface with the capacity for API and EDI connections for integrating with external organizations and systems, as well as compliance with data protection regulations.
$550
per month
Informatica Cloud Data Quality
Score 6.6 out of 10
N/A
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
Pricing
BoomiInformatica Cloud Data Quality
Editions & Modules
Boomi
$550
per month
No answers on this topic
Offerings
Pricing Offerings
BoomiInformatica Cloud Data Quality
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
BoomiInformatica Cloud Data Quality
Features
BoomiInformatica Cloud Data Quality
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Boomi
8.0
33 Ratings
1% below category average
Informatica Cloud Data Quality
-
Ratings
Pre-built connectors10.032 Ratings00 Ratings
Connector modification5.129 Ratings00 Ratings
Support for real-time and batch integration10.031 Ratings00 Ratings
Data quality services10.029 Ratings00 Ratings
Data security features5.231 Ratings00 Ratings
Monitoring console7.933 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
Boomi
-
Ratings
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
Data source connectivity00 Ratings8.94 Ratings
Data profiling00 Ratings8.74 Ratings
Master data management (MDM) integration00 Ratings8.24 Ratings
Data element standardization00 Ratings7.14 Ratings
Match and merge00 Ratings7.94 Ratings
Address verification00 Ratings8.44 Ratings
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BoomiInformatica Cloud Data Quality
Small Businesses
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Score 9.3 out of 10
HubSpot Data Hub
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Score 8.1 out of 10
Medium-sized Companies
IBM App Connect
IBM App Connect
Score 9.3 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM App Connect
IBM App Connect
Score 9.3 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
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User Ratings
BoomiInformatica Cloud Data Quality
Likelihood to Recommend
9.0
(41 ratings)
9.0
(19 ratings)
Likelihood to Renew
10.0
(9 ratings)
6.6
(14 ratings)
Usability
8.0
(6 ratings)
8.0
(1 ratings)
Availability
-
(0 ratings)
9.0
(2 ratings)
Performance
7.9
(5 ratings)
9.0
(1 ratings)
Support Rating
6.0
(2 ratings)
-
(0 ratings)
Online Training
-
(0 ratings)
10.0
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
BoomiInformatica Cloud Data Quality
Likelihood to Recommend
Boomi
Legacy systems often need to be replaced or integrated with new applications in order to modernize businesses. A strong API strategy that avoids custom coding and third-party programs is essential to enable this integration. Boomi's new-age connectivity and integration solutions ensure safe, secure, and robust integration. In the age of information, businesses are under more pressure than ever to be able to collect and manage large amounts of data. This data comes in from a variety of sources, including personalized devices such as voice assistants and wearable tech. While this data can be immensely valuable to businesses, they often lack the infrastructure necessary to handle it effectively. This can lead to data build-up in databases or silos, and can eventually lead to problems with integration and security.
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Informatica
For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
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Pros
Boomi
  • Pre-built connectors to almost anything which greatly reduce time to release of your integration needs.
  • Easy to use development platform with drag&drop features. Non-technical people could build simple integration processes in no time.
  • Great user community where you can get quick help if needed. Boomi people hang around there a lot.
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Informatica
  • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
  • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
  • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
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Cons
Boomi
  • More from a development perspective. It is always difficult to use the properties features. It takes a while to understand how the data/variables can be used across an integration.
  • Dell Boomi should also invest more on API Management and not just seen as a ETL,ESB tool.
  • Should roll out features more often based on users reviews.
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Informatica
  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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Likelihood to Renew
Boomi
Dell Boomi has provided us with the ability to connect our campus together using our various existing platforms. There are many supported features and have yet to run into something that we cannot do. Its user interface is very intuitive which would allow users to begin developing fairly easily. There is a myriad of resources available
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Informatica
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
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Usability
Boomi
My IT and Finance teams have noted that setting up the tool is a breeze. Dell Boomi has never caused an issue during a system implementation that I am aware of. We are pleased with the tool and recommend others consider it.
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Informatica
Easy to use not only for developers but also business users
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Reliability and Availability
Boomi
No answers on this topic
Informatica
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
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Performance
Boomi
The atom sphere takes a time to load, when I open a process or when I open a log. One more slow processing is when I import objects from NetSuite.
About the performance of processing, it looks like Boomi takes a time to initialize some things such as connectors before starting the process. This is also performance we have.
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Informatica
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Support Rating
Boomi
Boomi support was responsive and knowledgable, however being a closed cloud service, it doesn't have good community support. We found the learning curve to be steep and there aren't avenues like google, forums, or blogs that provide community driven insight into the product or how to go about designing solutions using the tool
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Informatica
No answers on this topic
Alternatives Considered
Boomi
We decided to go with Dell Boomi because another department in our company was already using the software. We did not research competitor applications to use as our business solution. Dell Boomi was very easy and quick to set up, so once we decided to use Dell Boomi for systems integration, we had it set up and running within a few working days.
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Informatica
IDQ is used by a department at my organisation to ensure and enhance the data quality.
The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
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Scalability
Boomi
No answers on this topic
Informatica
Scalability works as expected and it is truly an enterprise system.
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Return on Investment
Boomi
  • It has allowed us to scale significantly without having to add headcount, specifically those geared towards data entry. We went from a $10m ARR business to $200m ARR business with the same amount of Order Processors and 12x amount of transactions by leveraging Boomi to perform a lot of the work, and then having the Order Processing team to simply review that the transaction was processed successfully.
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Informatica
  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
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ScreenShots