Azure Stream Analytics vs. IBM Event Streams

Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.

Incentivized

We used it in two cases, and it went pretty good with both. We used it for analytics and logging alongside event-based communication between different tech-stacks. One thing that users need to keep in mind is that it has a limited knowledgebase and will need a good understanding of Kafka to use it efficiently. So choose it carefully and when its needed

Incentivized

• Routing of data from multiple inputs to multiple output
• You create your own user define function.
• Intermediate query is working very effectively.

Incentivized

• It is adaptive and helps us create more engaging experiences on our platforms.
• The Key metrics dashboard is rich with insights.

Incentivized

• Code competency is not that much effective
• Ml models can't be integrated with stream analytics

Incentivized

• Provide Capabilities to connect the Event Streams via REST Proxy.
• Schema Registry to handle Avro Formats.
• Provide Kafka Connect Sink & Source Connectors.

Incentivized

The product was very user friendly and extremely easy to get started with. The documentation is excellent and the free tier makes it very easy to get started with without having to make deep or long term financial commitments.

Incentivized

I met with the support team and they have deep technical and development understanding of the needs and the problems which IBM Event Streams addresses. If you are looking for a product backed by a highly technical support team then IBM Event Streams is probably the best choice. I was specifically impressed by the level of technical understanding my support team demonstrated.

Incentivized

Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics

Incentivized

In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. Event Streams. Event Streams stores three replicas of your data to ensure the highest level of resilience across three availability zones.

Incentivized

• Very nice roi while using it.
• Multiple integration is the best functionality

Incentivized

• In using downstreams, the minimal features and the rate of releases were slow, makes us feel that there's no upgrades and other than that there's poor marketing of the product.
• The adoption around the service is low, requires focused marketing.
• Lack of visibility into topic depth , Monitoring capabilities

Incentivized