Hevo Data vs. Informatica Cloud Data Quality

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hevo
Score 4.5 out of 10
N/A
Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows to save engineering time/week and drive faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. The platform boasts 500 data-driven companies spread across 35+…
$149
per month
Informatica Cloud Data Quality
Score 6.8 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
Hevo DataInformatica Cloud Data Quality
Editions & Modules
Free
$0
per month
Starter
$149 to $999
Per Month (Paid Yearly)
Business
Custom Pricing
No answers on this topic
Offerings
Pricing Offerings
HevoInformatica Cloud Data Quality
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsHevo offers a Free Plan and a 14-day Free Trial for all the paid plans.
More Pricing Information
Community Pulse
Hevo DataInformatica Cloud Data Quality
Features
Hevo DataInformatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of Product A and Product B
Hevo Data
-
Ratings
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
Data source connectivity00 Ratings8.94 Ratings
Data profiling00 Ratings8.74 Ratings
Master data management (MDM) integration00 Ratings8.24 Ratings
Data element standardization00 Ratings7.14 Ratings
Match and merge00 Ratings7.94 Ratings
Address verification00 Ratings8.44 Ratings
Best Alternatives
Hevo DataInformatica Cloud Data Quality
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
HubSpot Data Hub
HubSpot Data Hub
Score 8.3 out of 10
Medium-sized Companies
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Control-M
Control-M
Score 9.3 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
Hevo DataInformatica Cloud Data Quality
Likelihood to Recommend
8.8
(4 ratings)
9.0
(19 ratings)
Likelihood to Renew
-
(0 ratings)
6.6
(14 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
Availability
-
(0 ratings)
9.0
(2 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Online Training
-
(0 ratings)
10.0
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Hevo DataInformatica Cloud Data Quality
Likelihood to Recommend
Hevo Data Inc.
It is of great help for unstructured data sources. The way Hevo Data flattens the high nested data is amazing. Schema management is also good by Hevo Data. The way it's tell about the data type and then we can identify any error in the model. Additionally, It is very easy to setup for any new user and once model is created then we do not have to worry about the script maintenance and updating the script daily.
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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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Pros
Hevo Data Inc.
  • Extract
  • Load
  • Transform
  • Support
Read full review
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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Cons
Hevo Data Inc.
  • Support - their support teams try to be helpful, but often miss the mark
  • Error logging - we've run into a few issues debugging errors and limited support is provided by Hevo
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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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Likelihood to Renew
Hevo Data Inc.
No answers on this topic
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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Usability
Hevo Data Inc.
No answers on this topic
Informatica
Easy to use not only for developers but also business users
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Reliability and Availability
Hevo Data Inc.
No answers on this topic
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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Performance
Hevo Data Inc.
No answers on this topic
Informatica
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Alternatives Considered
Hevo Data Inc.
1. Cost efficient 2. Creation of automated pipeline 3. Can load data from multiple data sources 4. Updates data in near real-time - We were able to get near real time insights from the data model which we have created in hevo 5. It has good integration with different BI tools
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Informatica
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.
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Scalability
Hevo Data Inc.
No answers on this topic
Informatica
Scalability works as expected and it is truly an enterprise system.
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Return on Investment
Hevo Data Inc.
  • Comprehensive results from the data processing is a perfect approach from the tool.
  • Authentic data models brings a high automation process and more productivity.
  • Expansive data sourcing brings clarity and genuine results after inferential analytics.
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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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ScreenShots

Hevo Screenshots

Screenshot of TransformationsScreenshot of Pipeline OverviewScreenshot of Schema MapperScreenshot of Select Source TypeScreenshot of Query EditorScreenshot of Transformations