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."
"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."
"The solution has a lot of functionality that can be pushed out to companies."
"It's scalable as a cloud product."
"The most valuable features are the IoT hub and the Blob storage."
"Technical support is pretty helpful."
"The life cycle, report management and crash management features are great."
"The solution's technical support is good."
"We use Azure Stream Analytics for simulation and internal activities."
"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."
"Easier scalability and more detailed job monitoring features would be helpful."
"Its features for event imports and architecture could be enhanced."
"I would like to have a contact individual at Microsoft."
"The collection and analysis of historical data could be better."
"The solution's interface could be simpler to understand for non-technical people."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
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.