Syniti Data Quality Reviews

Name: Syniti Data Quality
Brand: Syniti
Rating: 4.3 (4 reviews)

4.3 out of 5

4 reviews
100% willing to recommend

What is Syniti Data Quality?

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.

Get the Data Quality Buyer's Guide and find out what your peers are saying about Syniti Data Quality, Informatica Intelligent Data Management Cloud (IDMC), SAP Data Services and more!

Syniti Data Quality is the #4 ranked solution in top Data Quality solutions. PeerSpot users give Syniti Data Quality an average rating of 8.6 out of 10. Syniti Data Quality is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Syniti Data Quality vs Informatica Intelligent Data Management Cloud (IDMC). Syniti Data Quality is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 19% of all views.

Buyer's Guide

Data Quality

April 2025

Get the category report

Helped 849,190 peers since 2012

Featured Syniti Data Quality reviews

Raj AB

Delivery Head at ApikinFotech

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. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

Read full review

Gagan Yadav

SAP Data migration and management consultant at Syniti

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.

Read full review

ADAM DAHIROU

Data Migration Consultant at Le Ngoc Anh Conseil

In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required. Sometimes, Syniti Data Quality extracts information from which I may only want to use around ten percent. It would have been good if it was possible to extract only the ten percent of the information I required beforehand instead of extracting a lot of data.

Read full review

Syniti Data Quality mindshare

As of April 2025, the mindshare of Syniti Data Quality in the Data Quality category stands at 11.5%, up from 7.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Quality

Key learnings from peers

Valuable Features

"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."

Room for Improvement

Data extraction requires enhancements in Syniti Data Quality, with a need for more selective data retrieval. Loading mechanisms and administration processes, including system deployment, are areas needing attention. Customization should allow SQL query building and execution based on customer needs. Improved preload and postload reports are necessary for better data migration assessment. Increased AI integration in future iterations would be beneficial.

"It would be good if Syniti Data Quality could integrate more AI in the future."
"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."

Pricing

"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
"The solution is expensive."

Deployment

Syniti Data Quality's initial setup involves a cloud-based deployment and access to non-cloud databases. Users find the setup not very difficult but requiring some SQL and tool knowledge; 80% of customization is pre-configured. Integration with SAP is straightforward, while other services can be challenging. Setup requires one administrator, making it time-consuming. Users rate the ease of initial setup between seven and nine out of ten, appreciating its compatibility with most ERPs and databases.

Stability

Syniti Data Quality is described as stable, rated nine out of ten for stability by several users. There are reports of occasional crashes due to programming errors, but such instances are rare. Users mention having no significant issues after long-term usage. Stability is consistently praised, indicating reliability in performance.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Data Quality Buyer's Guide for additional reliable information.