Informatica Cloud Data Integration vs. RabbitMQ

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Cloud Data Integration
Score 8.4 out of 10
N/A
Informatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.N/A
RabbitMQ
Score 9.0 out of 10
N/A
RabbitMQ, an open source message broker, is part of Pivotal Software, a VMware company acquired in 2019, and supports message queue, multiple messaging protocols, and more. RabbitMQ is available open source, however VMware also offers a range of commercial services for RabbitMQ; these are available as part of the Pivotal App Suite.N/A
Pricing
Informatica Cloud Data IntegrationRabbitMQ
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data IntegrationRabbitMQ
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Informatica Cloud Data IntegrationRabbitMQ
Features
Informatica Cloud Data IntegrationRabbitMQ
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica Cloud Data Integration
10.0
2 Ratings
19% above category average
RabbitMQ
-
Ratings
Connect to traditional data sources10.02 Ratings00 Ratings
Connecto to Big Data and NoSQL10.02 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica Cloud Data Integration
8.5
2 Ratings
5% above category average
RabbitMQ
-
Ratings
Simple transformations10.02 Ratings00 Ratings
Complex transformations7.02 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica Cloud Data Integration
8.3
2 Ratings
6% above category average
RabbitMQ
-
Ratings
Data model creation9.01 Ratings00 Ratings
Metadata management9.01 Ratings00 Ratings
Business rules and workflow9.01 Ratings00 Ratings
Collaboration7.02 Ratings00 Ratings
Testing and debugging7.02 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica Cloud Data Integration
9.0
1 Ratings
12% above category average
RabbitMQ
-
Ratings
Integration with data quality tools9.01 Ratings00 Ratings
Integration with MDM tools9.01 Ratings00 Ratings
Best Alternatives
Informatica Cloud Data IntegrationRabbitMQ
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Apache Kafka
Apache Kafka
Score 8.7 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Apache Kafka
Apache Kafka
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica Cloud Data IntegrationRabbitMQ
Likelihood to Recommend
8.0
(2 ratings)
9.9
(11 ratings)
Usability
6.0
(1 ratings)
8.0
(1 ratings)
Support Rating
-
(0 ratings)
6.5
(4 ratings)
User Testimonials
Informatica Cloud Data IntegrationRabbitMQ
Likelihood to Recommend
Informatica
We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
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Open Source
It is highly recommended that if you have microservices architecture and if you want to solve 2 phase commit issue, you should use RabbitMQ for communication between microservices. It is a quick and reliable mode of communication between microservices. It is also helpful if you want to implement a job and worker mechanism. You can push the jobs into RabbitMQ and that will be sent to the consumer. It is highly reliable so you won't miss any jobs and you can also implement a retry of jobs with the dead letter queue feature. It will be also helpful in time-consuming API. You can put time-consuming items into a queue so they will be processed later and your API will be quick.
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Pros
Informatica
  • Data synchronisation
  • Data replication
  • Data integration
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Open Source
  • What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
  • Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
  • Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.
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Cons
Informatica
  • There is a moderately steep learning curve
  • Has some idiosyncrasies
  • Can be finicky with date formats
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Open Source
  • It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.
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Usability
Informatica
There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators
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Open Source
RabbitMQ is very easy to configure for all supported languages (Python, Java, etc.). I have personally used it on Raspberry Pi devices via a Flask Python API as well as in Java applications. I was able to learn it quickly and now have full mastery of it. I highly recommend it for any IoT project.
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Support Rating
Informatica
No answers on this topic
Open Source
I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.
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Alternatives Considered
Informatica
It is really easy to comply and understand its features.
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Open Source
RabbitMQ has a few advantages over Azure Service Bus 1) RMQ handles substantially larger files - ASB tops out at 100MB, we use RabbitMQfor files over 200MB 2) RabbitMQ can be easily setup on prem - Azure Service Bus is cloud only 3) RabbitMQ exchanges are easier to configure over ASB subscriptions ASB has a few advantages too 1) Cloud based - just a few mouse clicks and you're up and running
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Return on Investment
Informatica
  • Really greatest than any other conventional application.
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Open Source
  • Positive: we don't need to keep way too many backend machines around to deal with bursts because RabbitMQ can absorb and buffer bursts long enough to let an understaffed set of backend services to catch up on processing. Hard to put a number to it but we probably save $5k a month having fewer machines around.
  • Negative: we've got many angry customers due to queues suddenly disappearing and dropping our messages when we try to publish to them afterward. Ideally, RabbitMQ should warn the user when queues expire due to inactivity but it doesn't, and due to our own bugs we've lost a lot of customer data as a result.
  • Positive: makes decoupling the web and API services from the deeper backend services easier by providing queues as an interface. This allowed us to split up our teams and have them develop independently of each other, speeding up software development.
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