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HiT Software DBMoto vs IBM Cloud Pak for Integration 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 (23rd)
IBM Cloud Pak for Integration
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
API Management (26th), Cloud Data Integration (15th)
 

Featured Reviews

reviewer1077405 - PeerSpot reviewer
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.
Igor Khalitov - PeerSpot reviewer
Manages APIs and integrates microservices with redirection feature
IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Additionally, it supports incremental deployments, allowing you to shift traffic to a new version of an API gradually. For example, you can start by directing 10% of traffic to the new version while the rest continue using the legacy version. If everything works as expected, you can gradually increase the traffic to the new version over time. IBM Cloud Pak for Integration has a client base that includes numerous organizations using AI and machine learning technologies. We leverage an open-source machine learning framework and integrate it with Kafka to help create and manage various products and data retrieval processes. For companies with private data, the framework first retrieves relevant data from a GitHub database, which is then combined with the final request before being sent to a language model like GPT. This ensures that the language model uses your specific data to generate responses. Kafka plays a key role by streaming real-time data from file systems and databases like Oracle and Microsoft SQL. This data is published to Kafka topics, then vectorized and used with artificial intelligence to enhance the overall process. It's like an old-fashioned approach. The best way is to redesign it with products such as Kafka. Overall, I rate the solution an eight out of ten.

Quotes from Members

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

Pros

"DBMoto was very simple to set up and move our tables to the Oracle DB."
"The most valuable features are that is easy to install and it is user-friendly."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"It is a stable solution."
 

Cons

"This product would be improved with additional built-in functions for simpler date conversion, as well as for data type transformations."
"Pricing is an area that needs improvement."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"The initial setup is not easy."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
 

Pricing and Cost Advice

"I found the price to be quite reasonable."
"Customers pay a license fee yearly."
"It is an expensive solution."
"The solution's pricing model is very flexible."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
21%
Computer Software Company
10%
Insurance Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What do you like most about IBM Cloud Pak for Integration?
The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of ...
What needs improvement with IBM Cloud Pak for Integration?
Enterprise bots are needed to balance products like Kafka and Confluent.
What is your primary use case for IBM Cloud Pak for Integration?
It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...
 

Also Known As

DBMoto
No data available
 

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
CVS Health Corporation
Find out what your peers are saying about HiT Software DBMoto vs. IBM Cloud Pak for Integration and other solutions. Updated: June 2025.
859,533 professionals have used our research since 2012.