Informatica Cloud Data Quality vs. Snowflake

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Snowflake
Score 8.8 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
Pricing
Informatica Cloud Data QualitySnowflake
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualitySnowflake
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Informatica Cloud Data QualitySnowflake
Features
Informatica Cloud Data QualitySnowflake
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.6
5 Ratings
1% above category average
Snowflake
-
Ratings
Data source connectivity9.15 Ratings00 Ratings
Data profiling9.05 Ratings00 Ratings
Master data management (MDM) integration8.65 Ratings00 Ratings
Data element standardization7.75 Ratings00 Ratings
Match and merge8.45 Ratings00 Ratings
Address verification8.85 Ratings00 Ratings
Best Alternatives
Informatica Cloud Data QualitySnowflake
Small Businesses
HubSpot Operations Hub
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Score 8.0 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica Cloud Data QualitySnowflake
Likelihood to Recommend
9.0
(20 ratings)
8.8
(43 ratings)
Likelihood to Renew
6.6
(14 ratings)
10.0
(2 ratings)
Usability
8.0
(1 ratings)
9.3
(19 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
9.9
(8 ratings)
Online Training
10.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(1 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
Product Scalability
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Informatica Cloud Data QualitySnowflake
Likelihood to Recommend
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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Snowflake Computing
Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
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Pros
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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Snowflake Computing
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
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Cons
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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Snowflake Computing
  • Add constraints for views and not just for tables
  • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
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Likelihood to Renew
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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Snowflake Computing
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
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Usability
Informatica
Easy to use not only for developers but also business users
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Snowflake Computing
Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
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Reliability and Availability
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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Snowflake Computing
No answers on this topic
Performance
Informatica
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Snowflake Computing
No answers on this topic
Support Rating
Informatica
No answers on this topic
Snowflake Computing
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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Alternatives Considered
Informatica
Has a suite of applications and components that we can integrate with Informatica Power center to deliver enterprise-strength data quality capabilities in a wide range of scenarios. Provides comprehensive and modular support for all data and all use cases whether in small or complex projects. Streamlined data discovery with a broad and deep lineup of enterprises.
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Snowflake Computing
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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Snowflake Computing
No answers on this topic
Return on Investment
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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Snowflake Computing
  • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
  • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
  • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation