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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lakeFS
Score10 out of 10
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Treeverse offers open source tech management for engineers, data scientists and analysts who are transforming the world with data.
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Pricing
Informatica Cloud Data Quality
lakeFS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data Quality
lakeFS
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Treeverse's platform lakeFS is open source technology.
More Pricing Information
Features
Informatica Cloud Data Quality
lakeFS
Data Quality
Comparison of Data Quality features of Informatica Cloud Data Quality and lakeFS
Feature
Informatica Cloud Data Quality
8.2
4 Ratings
4% below category average
lakeFS
-
Ratings
Data source connectivity
8.94 Ratings
00 Ratings
Data profiling
8.74 Ratings
00 Ratings
Master data management (MDM) integration
8.24 Ratings
00 Ratings
Data element standardization
7.14 Ratings
00 Ratings
Match and merge
7.94 Ratings
00 Ratings
Address verification
8.44 Ratings
00 Ratings
Data Collection
Comparison of Data Collection features of Informatica Cloud Data Quality and lakeFS
Feature
Informatica Cloud Data Quality
-
Ratings
lakeFS
10.0
1 Ratings
20% above category average
Collection of first-party data
00 Ratings
10.01 Ratings
Collection of third-party data
00 Ratings
10.01 Ratings
Access to Third-party Data Providers
00 Ratings
10.01 Ratings
Data Classification
Comparison of Data Classification features of Informatica Cloud Data Quality and lakeFS
Feature
Informatica Cloud Data Quality
-
Ratings
lakeFS
10.0
1 Ratings
19% above category average
Audience taxonomy
00 Ratings
10.01 Ratings
Tag Management
00 Ratings
10.01 Ratings
Data Analysis Dashboard
00 Ratings
10.01 Ratings
Ad Network Integration
Comparison of Ad Network Integration features of Informatica Cloud Data Quality and lakeFS
Feature
Informatica Cloud Data Quality
-
Ratings
lakeFS
10.0
1 Ratings
23% above category average
Data Transfer
00 Ratings
10.01 Ratings
DSP integration
00 Ratings
10.01 Ratings
DMP Analytics
Comparison of DMP Analytics features of Informatica Cloud Data Quality and lakeFS
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
LakeFS is appropriate to easily collaborate on production data with your team. It is easy to safely experiment and test production data. The data is treated like a code so it is important for a company to be well aware of code like formats in order to use this appropriately
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
LakeFS is an excellent Data Management Platform and allows much more user access than other products. LakeFS empowers users to connect with the data in different ways and manipulate the data like a coder. It is a great alternative to some others and is a wonderful way to access your data
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info