IBM Confluent vs. meshIQ

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Confluent
Score 9.1 out of 10
N/A
IBM Confluent Platform for Z and LinuxONE is an enterprise event streaming platform designed to run on Linux on IBM Z and LinuxONE environments. It enables organizations to create, manage, and process real-time data streams using Apache Kafka-based technologies. The platform provides capabilities for event ingestion, data integration, stream processing, schema management, connectors, and operational management. It supports deployment models including virtual machines, containers, and Kubernetes…
$0
meshIQ
Score 8.9 out of 10
Enterprise companies (1,001+ employees)
meshIQ provides observability and management capabilities for middleware platforms, from modern Kafka-based streaming to legacy messaging technologies such as IBM MQ, across cloud and on-premises environments.N/A
Pricing
IBM ConfluentmeshIQ
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
No answers on this topic
Offerings
Pricing Offerings
IBM ConfluentmeshIQ
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).
More Pricing Information
Community Pulse
IBM ConfluentmeshIQ
Considered Both Products
IBM Confluent
Chose IBM Confluent
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others …
Chose IBM Confluent
We chose to use the Confluent Platform because they provide enterprise-grade customer service support. Whenever we have trouble setting up or using the service, we can create a ticket for them and it will be resolved pretty fast. Kafka is the open-source software that comes …
meshIQ

No answer on this topic

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IBM ConfluentmeshIQ
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Score 9.0 out of 10
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Spotfire Streaming
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User Ratings
IBM ConfluentmeshIQ
Likelihood to Recommend
10.0
(0 ratings)
9.0
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM ConfluentmeshIQ
Likelihood to Recommend
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
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If you're involved in any business that is related to banking, insurance and lending industry, take the short way and save yourself from thousands of wasted dollars on fraud detection and application management issues, Nastel is my savior and it's the most powerful killer solution to beat the fraud and have a winning application performance management, It's like hiring a mathematics magician with super powers to help businesses get over the delayed amount of time spent on a problem, and the average time to process a claim, reduce errors and most importantly to decrease the number of tickets at the help center for a better and higher customer satisfaction score.
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Pros
  • Products work great.
  • Training is available.
  • Customer support is good.
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  • Its ability to detect and correct IBM MQ issues before they effect the production.
  • performance trends and statistics in real-time.
  • Rapid and accurate monitoring of Command Servers, Dead Letter Queues, Queue Managers, Qdepth and Listeners.
  • Built-in complex event processing to gain valuable visibility into order fulfillment processes
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Cons
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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  • The UI needs a lot of improvements to meet today's standards while keeping the functional part highly performing as it used to be
  • Being unable to run reports through the workgroup security manager is a serious con, I think they need to consider giving it more attention
  • the auto-monitoring feature performance goes low when it's enabled during a heavy workloads, it leads to a lower/heavier performance, but during the latest update I feel it got lighter somehow.
  • They also need to give more attention to the encryption and enhance it with the latest encryption technologies
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Support Rating
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
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Alternatives Considered
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
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Return on Investment
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
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  • A reduction in point of sale abandonment by 70% reflects the change in mindset of customers who are no longer irritated by price anomalies.
  • The company was able to merge many unnecessary servers due to thousands of useless queues it had, resulting in yearly savings of more than $250,000
  • improved efficiency and cost-savings by 80% within the first 2 months
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ScreenShots

meshIQ Screenshots

Screenshot of meshIQ Apache Active MQ, Artemis, CamelScreenshot of MeshIQ Apache KafkaScreenshot of meshIQ B2B Flow IntelligenceScreenshot of meshIQ Apache Active MQ, Artemis, CamelScreenshot of meshIQ Platform