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HiT Software DBMoto vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

HiT Software DBMoto
Average Rating
9.0
Reviews Sentiment
7.6
Number of Reviews
2
Ranking in other categories
Data Replication (21st)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
 

Featured Reviews

reviewer1077405 - PeerSpot reviewer
Works at a government with 1,001-5,000 employees
Replication monitor feature is helpful in that it allows a quick view of the status, errors, and results of the last replication
We appreciate the ease of use in this solution. It looks like File Explorer, where you set up your source and targets. Replications are created simply by using the replication wizard. It also has functionality for scheduling, verification, and alerts. The ability to write code for transformations is very useful. Once the replications are set up it is simple to maintain. The Replication monitor is helpful in that it allows a quick view of the status, errors, and results of the last replication. Replication logs and history files are very useful for determining problematic data issues. The transaction latency tool is also helpful for determining how many connections are required for larger files. The replication types that are available are: Refresh Only, Continuous, and Synchronization. We currently use Refresh Only (scheduled refreshes), and Continuous. The source and target table verification is very helpful for running checks. The Replication Monitor is also a great plus, which shows a quick view of the replication status.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"The most valuable features are that is easy to install and it is user-friendly."
"DBMoto was very simple to set up and move our tables to the Oracle DB."
"The most valuable features are the structure masking and platform masking."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"The advanced features like task flow and conditional integration are particularly useful."
"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."
"REST API: Excellent for scripting control and reporting mechanisms"
"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"Stability-wise, I rate the solution a ten out of ten."
 

Cons

"Pricing is an area that needs improvement."
"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
"The product is not too user-friendly to do the configurations."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
 

Pricing and Cost Advice

"I found the price to be quite reasonable."
"Customers pay a license fee yearly."
"The price is high, but the competitors are even higher, like Collibra."
"Informatica is very expensive."
"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."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"We are quite happy with the licensing model."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"The solution is very expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

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When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

DBMoto
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

JAS Forwarding Worldwide, Animal, Financiera Pagos Internacionales C.F., Bur de Credito, Qualitas-IT, EFCO Corporation, Andrews Consulting, ASL Modena, BancAssurance Popolari S.p.A., Banco BICSA, Cheshire County Council, Epson Precision, Ferrari North America
The Travel Company, Carbonite
Find out what your peers are saying about HiT Software DBMoto vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: December 2025.
880,685 professionals have used our research since 2012.