Dataloader.io vs. Informatica Cloud Data Quality

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataloader.io
Score 10.0 out of 10
N/A
Dataloader.io delivers a cloud based solution to import and export information from Salesforce.
$99
per month
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
Dataloader.ioInformatica Cloud Data Quality
Editions & Modules
Professional
$99.00
per month
Enterprise
$299.00
per month
No answers on this topic
Offerings
Pricing Offerings
Dataloader.ioInformatica 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
Dataloader.ioInformatica Cloud Data Quality
Features
Dataloader.ioInformatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of Product A and Product B
Dataloader.io
-
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
Best Alternatives
Dataloader.ioInformatica Cloud Data Quality
Small Businesses

No answers on this topic

HubSpot Data Hub
HubSpot Data Hub
Score 7.8 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Dataloader.ioInformatica Cloud Data Quality
Likelihood to Recommend
7.1
(0 ratings)
9.2
(0 ratings)
Likelihood to Renew
8.9
(0 ratings)
6.6
(0 ratings)
Usability
8.9
(0 ratings)
8.0
(0 ratings)
Availability
-
(0 ratings)
9.0
(0 ratings)
Performance
8.0
(0 ratings)
9.0
(0 ratings)
Support Rating
7.6
(0 ratings)
-
(0 ratings)
Online Training
-
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(0 ratings)
Product Scalability
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
Dataloader.ioInformatica Cloud Data Quality
Likelihood to Recommend
Dataloader is an incredible asset for a large organization or an organization that has a robust Salesforce environment. Specifically, Dataloader has allowed our sales team to focus on driving sales while our operations team can load the data they need in a manner that allows for robust reporting and tracking on our sales process. Organizations with less robust Salesforce environments or Salesforce environments in which many people are expected to maintain their own information likely do not need Dataloader.
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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
  • The selection of objects is much better and more extensive than the Salesforce built in data loader.
  • Cross referencing of fields for record IDs is easy to use. I can work through this so much more quickly than using the built in Salesforce data loader.
  • Success and error files are easy to identify what needs to be fixed (errors) and identification of records created (successes), so you can quickly do spot checks in your Salesforce org after doing a data load.
  • The number of rows per month for a basic package, 100,000, is great for our business.
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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
  • At the moment, I can't find a way to rename jobs. This would be useful to organize what was previously created hastily by techs in a rush.
  • A preview of the job, especially upserts, would take a great deal of stress away from some of us (especially those who are not so confident in their ETL practice).
  • A native vlookup equivalent may be a welcome addition.
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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
It is easy to use and doesn't require a security token, so I enjoy using it. It also doesn't require any download or installation, which is sometimes a blocker to gettingthings done if the company has limits. also, the dataloader.io is easy for other people to pick up, so others can have visibility into the data jobs that have occurred
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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
It is an intuitive application to use. Within a few clicks, you can be signed in to your org and ready to perform tasks. Data imports/exports/updates are streamlined so you can quickly start and configure your jobs. These can run in the background while you set up new tasks. Job history and tasks currently running on are on your home screen.
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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
Dataloader is made for updating, inserting, and deleting of contacts. For these operations this tool is excellent.
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Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Support Rating
Customer support might be where Dataloader.io saves money. Most of the competitors offer 24/7 live support but Dataloader.io only offers support via email and the community. Those types of support work fine until you need an answer right away. Some questions can't wait until the next business day or business hours for a reply.
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No answers on this topic
Alternatives Considered
The UI of Dataloader.IO is far more advanced, user-friendly, and current, than any of the options above. The ability to several tasks (Imports/Exports) at one time. Cloud-based with very easy access to current Imports or Exports, as well previous versions that had previously been run. You can see Imports or Exports across all time, even if you change filter criteria.
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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
  • HUGE time saving. When we need to clean or review data, we used to have to do it line by line. This can do the work within excel and make cleanup/management an afternoons work as opposed to a week.
  • Rollback what you did/change/deleted is relatively simple if you remember to back up the data you are manipulating.
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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