ETL Solutions Transformation Manager vs IBM Cloud Pak for Integration comparison

ETL Solutions Transformation Manager vs. IBM Cloud Pak for Integration

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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

ETL Solutions Transformatio...

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (33rd)

IBM Cloud Pak for Integration

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (26th), Cloud Data Integration (15th)

Featured Reviews

Vijayraj Amin

Global Growth Strategist at MAIORA

User-friendly and accessible for anyone with computer knowledge and logical thinking

There is room for improvement in the solution's visualization tool. Currently, it provides basic reports and the ability to create graphs and dashboards, but I'm looking forward to more robust analytics. The plan is to enhance this feature in 2024, around Q2 or Q3, which would save us from relying on external tools like Power BI for insights.

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Igor Khalitov

Owner/Full Stack Software Engineer at Maraphonic, Inc.

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.

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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

"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."

"It is among the best, even if not widely known."

"It is a reliable solution."

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"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."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

"It is a stable solution."

Cons

"There is room for improvement in the solution's visualization tool."

"They should build a functional architecture based on queuing."

"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."

"Its queuing and messaging features need 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 pricing can be improved."

"Enterprise bots are needed to balance products like Kafka and Confluent."

"The initial setup is not easy."

Pricing and Cost Advice

"It is an expensive solution."

"The solution's pricing model is very flexible."

"It is an expensive solution."

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Top Industries

By visitors reading reviews

Computer Software Company

26%

Financial Services Firm

17%

Healthcare Company

Educational Organization

Financial Services Firm

21%

Computer Software Company

10%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about ETL Solutions Transformation Manager?

It is among the best, even if not widely known.

What is your experience regarding pricing and costs for ETL Solutions Transformation Manager?

ETL Solutions Transformation Manager is much more affordable than other solutions like AWS, Blue, or Informatica. Even though some competitors may offer seemingly economical pricing, the resource c...

What needs improvement with ETL Solutions Transformation Manager?

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...

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Product Reports

Data Integration

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ETL Solutions Transformation Manager report

API Management

Download IBM Cloud Pak for Integration product report

Also Known As

Transformation Manager

No data available

Overview

Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.

ETL Solutions

IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.

IBM

Sample Customers

Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster Bank

CVS Health Corporation

ETL Solutions Transformation Manager vs. IBM Cloud Pak for Integration