We performed a comparison between Apache Pulsar and Azure Stream Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics."The solution operates as a classic message broker but also as a streaming platform."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"It's a product that can scale."
"It's scalable as a cloud product."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"The life cycle, report management and crash management features are great."
"Provides deep integration with other Azure resources."
"Documentation is poor because much of it is in Chinese with no English translation."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"The collection and analysis of historical data could be better."
"If something goes wrong, it's very hard to investigate what caused it and why."
"The initial setup is complex."
"Its features for event imports and architecture could be enhanced."
"The solution's interface could be simpler to understand for non-technical people."
"The UI should be a little bit better from a usability perspective."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
Apache Pulsar is ranked 12th in Streaming Analytics with 1 review while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews. Apache Pulsar is rated 8.0, while Azure Stream Analytics is rated 8.2. The top reviewer of Apache Pulsar writes "The solution can mimic other APIs without changing a line of code". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Apache Pulsar is most compared with Apache Flink, Apache Spark Streaming, Amazon Kinesis, Amazon MSK and Google Cloud Dataflow, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache Storm.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.