Dataloader.io delivers a cloud based solution to import and export information from Salesforce.
$99
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.
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Pricing
Dataloader.io
Informatica Cloud Data Quality
Editions & Modules
Professional
$99.00
per month
Enterprise
$299.00
per month
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Dataloader.io
Informatica Cloud Data Quality
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No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
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Entry-level Setup Fee
No setup fee
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Community Pulse
Dataloader.io
Informatica Cloud Data Quality
Features
Dataloader.io
Informatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of Product A and Product B
Replacing data. If we've put something in a category or a bucket that is no longer named that anymore because we've evolved with the times and we want to rebrand everything, it makes it way easier to do a quick import with the new terms.
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.
Extracting Salesforce attachments in original file format! I do not know of a tool that can do this better, or more efficiently! This is a huge benefit to companies that would like to extract attachments from Salesforce for tasks like data migrations.
Cross-object data extract within one file. You can pull data from related objects as long as there is a populated lookup from the object you are extracting, to another object (Child or Parent).
UI is simple and requires very little to no training. Given the acquisition of Mulesoft by Salesforce, I would not be surprised if DataLoader.IO is rolled out as the new global data loading tool for Salesforce.
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.
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.
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
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.
Dataloader definitely skews towards a more technical userbase. Users should be adept at manipulating data in spreadsheets and decipher JSON formatted error messaging. Additionally, there is a good amount of time need to set up the environment to map to the pertinent fields we are trying to adjust. While I would not recommend the typical account manager to use Dataloader, a typical operations manager should have no issue.
The utility itself is very self-explanatory and has enough information to guide you through the process. It has an intuitive experience for those familiar with data loading/exporting utilities. Outside of this, they have a Zendesk help center to log support requests and provide documentation to help guide you troubleshoot any issues that may be occurring.
I have used salesforce inspector also for operations like import and export of data from custom objects but it doesn't work well when you have data in huge numbers. Instead of using Salesforce Inspector, one should go for Dataloader.io if the number of records is huge to be dealt with.
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.
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.
