Informatica Cloud Data Quality vs Syniti Data Quality comparison

Informatica Cloud Data Quality
Read 8 Informatica Cloud Data Quality reviews
  • 1,597 Views
  • 1,082 Comparison Views
87% willing to recommend
Syniti Data Quality
Read 4 Syniti Data Quality reviews
  • 765 Views
  • 653 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Informatica Cloud Data Quality and Syniti Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed Informatica Cloud Data Quality vs. Syniti Data Quality Report (Updated: May 2024).
Buyer's Guide
Informatica Cloud Data Quality vs. Syniti Data Quality
May 2024
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Helped 787,383 peers since 2012
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Syniti Data Quality
Ranking in Data Quality
6th
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Market share comparison

As of June 2024, in the Data Quality category, the market share of Informatica Cloud Data Quality is 6.6% and it decreased by 52.8% compared to the previous year. The market share of Syniti Data Quality is 10.6% and it increased by 30.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
Unique Categories:
No other categories found
No other categories found
 

Featured Reviews

HH
Dec 15, 2023
The product has excellent profiling features and accelerated libraries that improve productivity
The pilot is not in production. It's in a lower environment. We are not at the stage of doing performance testing until the new year. We are not fully utilizing our on-premise infrastructure. Moving to the cloud could save us some money. People wanting to implement the solution must consider it like launching a new data management program from scratch. Rather than just thinking about migration from on-premise to the cloud, try to adjust your mindset to use the solution as a completely new tool. If you just migrate from the on-premises to the cloud, if you have any technical debt in the on-premise version, you'll just replicate that into the cloud. Overall, I rate the product a nine out of ten.
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GY
Nov 29, 2023
A highly stable solution that can be deployed very quickly and easily
You can only see the data and get the error report in SAP Information Steward. So, it is a read-only thing in SAP Information Steward. If you are using Syniti Data Quality, you can see the error and fix it by directly configuring Syniti Data Quality to write back to SAP. Syniti Data Quality allows you to update the source system. In SAP Information Steward, you can't upgrade the source system. You can just see the data and go on to the source system manually by logging in to SAP, and then you have to fix those errors. With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them.
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Stability-wise, I rate the solution a ten out of ten."
"The user-friendliness and performance of Informatica is quite impressive."
"The profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"Initial setup was fairly easy."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."
"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."
"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."
"The customer service and support is good."
 

Cons

"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"The high price of the product is an area of concern where improvements are required."
"The integration with older technology and cloud quality needs improvement."
"Some capabilities from the cloud version are not included in the on-premises version."
"Logical views are a little bit behind in comparison to the on-premise version."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."
"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."
"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."
"It would be good if Syniti Data Quality could integrate more AI in the future."
 

Pricing and Cost Advice

"We pay for a yearly subscription."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
9%
Government
5%
Computer Software Company
20%
Manufacturing Company
18%
Financial Services Firm
12%
Retailer
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
See all answers
What needs improvement with Informatica Cloud Data Quality?
We have complex datasets. Logical views are a little bit behind in comparison to the on-premise version.
See all answers
What is your primary use case for Informatica Cloud Data Quality?
The solution is used for data quality implementation. We handle the whole life cycle of data quality from end to end, including rule specification and exception handling.
See all answers
What do you like most about Syniti Data Quality?
The customer service and support is good.
See all answers
What needs improvement with Syniti Data Quality?
The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.
See all answers
What is your primary use case for Syniti Data Quality?
Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will ...
See all answers
 

Comparisons

Informatica Data Quality vs Informatica Cloud Data Quality Logo
Informatica Data Quality vs Informatica Cloud Data Quality
Compared 100% of the time
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SAP Data Services vs Syniti Data Quality Logo
SAP Data Services vs Syniti Data Quality
Compared 100% of the time
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Product Reports

Buyer's Guide
Data Quality
June 2024
Informatica Cloud Data Quality reportDownload Informatica Cloud Data Quality product report
Buyer's Guide
Data Quality
June 2024
Syniti Data Quality reportDownload Syniti Data Quality product report
 

Also Known As

Cloud Data Quality Radar
Syniti DQ
 

Learn More

Informatica
Syniti
 

Overview

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Data quality management solutions from Syniti provide a simplified and cost-effective approach. They create a closed-loop remediation process owned by business users that monitors and accurately remediates data that violates your standards for data quality.

 

Sample Customers

Freddie Mac, Rabobank
Kraft Foods, Puget Sound Energy
Buyer's Guide
Informatica Cloud Data Quality vs. Syniti Data Quality
May 2024
Free Report: Informatica Cloud Data Quality vs. Syniti Data Quality
Find out what your peers are saying about Informatica Cloud Data Quality vs. Syniti Data Quality and other solutions. Updated: May 2024.
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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.