Informatica Data Integration Hub Competitors and Alternatives

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Read reviews of Informatica Data Integration Hub competitors and alternatives

RM
Managing Director at a consultancy with 11-50 employees
Reseller
Top 20
Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology

What is our primary use case?

Equalum is used to take legacy data, siloed data and information in the enterprise, and integrate it into a consolidated database that is then used, for the most part, for data transaction, whether it's an actual transaction within the enterprise itself, or a BI dashboard. BI dashboards and analytics are a big area, but overall the main use case is for large data integration across disparate data sources. The way it's deployed is a combination of on-premises and cloud. It's mainly on-prem, but in Japan and Korea, the adoption of cloud is definitely nowhere near the same as in North America or… more »

Pros and Cons

  • "It's a really powerful platform in terms of the combination of technologies they've developed and integrated together, out-of-the-box. The combination of Kafka and Spark is, we believe, quite unique, combined with CDC capabilities. And then, of course, there are the performance aspects. As an overall package, it's a very powerful data integration, migration, and replication tool."
  • "It's got it all, from end-to-end. It's the glue. There are a lot of other products out there, good products, but there's always a little bit of something missing from the other products. Equalum did its research well and understood the requirements of large enterprise and governments in terms of one tool to rule them all, from a data migration integration perspective."
  • "They need to expand their capabilities in some of the targets, as well as source connectors, and native connectors for a number of large data sources and databases. That's a huge challenge for every company in this area, not just Equalum."

What other advice do I have?

It's a great tool to use in any data transformation opportunity, especially focusing on real-time. The word "batch" should never be used in an organization, going forward. I know it's useful and it has its use cases and there are situations where it's helpful. Batch is a form of history and it will probably always be there until that legacy finally disappears. But, overall, if anybody wants to look at migrating and transforming their overall data into a real-time enterprise, there's not a better tool in the market today, in terms of its performance, price, usability, and support. Those four…
Hemant Raorane
Technical Architect at Team Computers
Real User
Top 5
Excellent data integration but needs better scheduling and monitoring features

What is our primary use case?

The primary use cases can change according to the company and requirements. We originally began using it as a data preparation tool, where you could do a data migration afterward.

Pros and Cons

  • "As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
  • "The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

What other advice do I have?

We are partners with Qlik. Right now, I have not worked on the system in a hands-on capacity. I have an architectural understanding of the solution. Implementing the product is totally dependent upon the business side of an organization. If a company is just mid-scale or smaller in size, Qlik might be perfect. If you have a giant company, then you should aim for bigger products. Qlik Compose only provides for unique capabilities. There are other solutions, like Informatica, which may be better for larger firms with broader needs. I would rate the solution six out of ten.
EB
Data Integration Specialist/CTO at Asset messages
Real User
Top 10
A complete product with good integrations and excellent flexibility

What is our primary use case?

I primarily use the solution for integration. I consolidate data from several different databases and spreadsheets and merge systems into Amazon Redshift.

Pros and Cons

  • "The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."
  • "The server-side should be completely revamped."

What other advice do I have?

I am an IT Consultant. I use it currently in my job. I'm providing services to a company in Australia, using Talend. I would advise others to use the Studio. If you have to pay for some license to use the key parallelize component, it's a good idea to do it. However, don't use the TAC. Use the other orchestration services like Control-M or AWS functions such as AWS Lambda. Don't use the TAC. The TAC is really ugly. Overall, I'd rate the solution eight out of ten. I'd rate it higher, however, the TAC is unreliable. It's a big part of the solution, and, while I do really appreciate Talend Studio…
VM
Project Manager at mmp software
Real User
Top 10
Quite simple to learn and there is a lot of information available online

What is our primary use case?

We have an event planning system, which enables us to obtain a large report. It includes data Mart or data warehouse data. This is where we take data from the IT online system and pass it to the data warehouse. Then, from the data warehouse, they generate reports. We have 6 developers who are using the Panel Data Integrator, but there are no end users. We deploy the product, and the customer uses it for reporting. We have one person who undertakes a regular maintenance activity when it is required.

Pros and Cons

  • "Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
  • "I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."

What other advice do I have?

For newcomers to the product, it is best to start with something simple. You can then scale it up fast as it is not a steep learning curve. If somebody wants to set up a good inbound integration platform, they can use the Panel Data Integrator. It's really simple and easy to use. The online community really helps you with numerous issues, such as licensing and a lot of other things. I would rate Pentaho Data Integration 8 out of 10.
AJ
BI Practice Lead at a tech services company with 1,001-5,000 employees
Real User
Top 20
Easy to set up and integrates well, but it needs support for custom data delimiters

What is our primary use case?

The primary use case is integrating data from different ERP systems and loading it into Azure Synapse for reporting. We use Power BI for the reporting side of it. We also have customers who are migrating to Azure Data Factory and we are assisting them with making the transition.

Pros and Cons

  • "It is easy to integrate."
  • "You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

What other advice do I have?

I would rate this solution a five out of ten.
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