Cloudingo vs. Informatica Cloud Data Quality

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudingo
Score 6.0 out of 10
N/A
Cloudingo - a cloud-based SaaS, connects to salesforce.com and allows system administrators to scan their entire database for similar or duplicate records. Cloudingo was launched in late 2011. It is well known for its ease-of-use and rich user experience.N/A
Informatica Cloud Data Quality
Score 6.0 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
CloudingoInformatica Cloud Data Quality
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CloudingoInformatica Cloud Data Quality
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
CloudingoInformatica Cloud Data Quality
Features
CloudingoInformatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of Product A and Product B
Cloudingo
-
Ratings
Informatica Cloud Data Quality
8.9
Ratings
2% above category average
Data source connectivity00 Ratings9.30 Ratings
Data profiling00 Ratings9.20 Ratings
Master data management (MDM) integration00 Ratings8.90 Ratings
Data element standardization00 Ratings8.20 Ratings
Match and merge00 Ratings8.70 Ratings
Address verification00 Ratings9.00 Ratings
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User Ratings
CloudingoInformatica Cloud Data Quality
Likelihood to Recommend
8.7
(0 ratings)
9.2
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
6.6
(0 ratings)
Usability
8.0
(0 ratings)
8.0
(0 ratings)
Availability
-
(0 ratings)
9.0
(0 ratings)
Performance
-
(0 ratings)
9.0
(0 ratings)
Support Rating
8.0
(0 ratings)
-
(0 ratings)
Online Training
-
(0 ratings)
10.0
(0 ratings)
Implementation Rating
10.0
(0 ratings)
10.0
(0 ratings)
Product Scalability
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
CloudingoInformatica Cloud Data Quality
Likelihood to Recommend
Cloudingo is a Salesforce deduping and cleaning tool. I highly recommend that someone in your company who works with Salesforce data also work within Cloudingo. Cloudingo, also allows you to import leads and contacts into Salesforce in the same document, which is a huge time saver. It is not a segmentation or "missing" data finding tool, like some of their competitors
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We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways. At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
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Pros
  • Filter creation. I can create de-dupe filters on any and every field on our account, contact, and lead records. It has great built-in operators for the filters as well. Like URL, name cleaned, case sensitivity, spaces removed, etc.
  • Imports. I LOVE that I can import new records and de-dupe at the same time. Saves so much time!
  • Marketo integration. We actually don't use this, but it is very powerful. Marketo can't convert leads to existing accounts in Salesforce, and it always creates an opportunity. With this integration, you can run conversions through Cloudingo and avoid all of that.
  • Cost. The standard package has so much functionality and is priced very fairly. You get a ton of value for the price.
  • Lead to contact merges/dedupes, and lead to account conversions. Leads can be matched to existing accounts and can be merged with contact duplicates. Cross-object merges and conversions are super powerful.
  • Custom object de-dupes.
  • Support is GREAT! Always super quick to respond, very knowledgeable, and very helpful!
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  • Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
  • Character Set Mapping
  • Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports
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Cons
  • Cloudingo has no persistent notion of contacts it has flagged previously that are NOT duplicates. Without tweaking filters just so for match criteria, it will present you the same sets of potential (and previously identified non-) duplicates again and again which is a waste of time.
  • Innovation velocity at Cloudingo is low. The product is pretty much identical to what it was 2+ years ago. What you see is probably what you're going to get for a long, long time.
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  • 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
We spend enough money on Salesforce that the cost of Cloudingo when compared with its benefits is extremely small. We've been able to see measurable KPIs move as a result of the work we've done with Cloudingo
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I gave a rating of 8 due to the fact that we use Informatica for both our data quality product and ETL product. Having both integrated makes it so much easier. Microsoft had a similar product of finding duplicates, but at the time it didn't seem mature enough. The usability also in IDQ was pretty easy to navigate and use.
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Usability
Very usable. I have not spent enough time to fully grasp the capabilities. The interface is fairly intuitive, and I think with more time, I would grasp it very well.
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Easy to use not only for developers but also business users
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Reliability and Availability
No answers on this topic
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
No answers on this topic
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Support Rating
I have had to reach out to Cloudingo support several times. They almost always respond that same day. Often times they will call me directly to fix the problem or walk me through best practices. They even reach out after the fact to make sure that everything worked okay. They are also kind and personable.
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No answers on this topic
Implementation Rating
For us it was just a matter of committing the 10 minutes to install it from the AppExchange. It automatically builds out a dashboard based on standard filters and you get a lot of insight from them. We then copied some of the standard ones and pulled two from a filter library that rounded out what we needed. I wish I had done this months before given how little of my time it actually took.
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Alternatives Considered
I like the dedupe filters, customized rules for merging records, and the ability to handle such a large size of data at once. While the price was higher than the others, I feel its worth it for the added flexibility that Cloudingo gives over its competitors. I also like the reporting and analytics portion better - the ability to see your dashboards and analyze duplicate trends.
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Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
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Scalability
No answers on this topic
Scalability works as expected and it is truly an enterprise system.
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Return on Investment
  • Merging duplicate contacts to prevent clients from getting paid multiple times
  • Easily mass updating address records to prevent returned mail and to look more professional on printed mailings
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  • 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