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 like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"The solution's most valuable feature is its ability to create a query using SQ."
"We find the query editor feature of this solution extremely valuable for our business."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"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."
"Provides deep integration with other Azure resources."
"The life cycle, report management and crash management features are great."
"We use Azure Stream Analytics for simulation and internal activities."
"Documentation is poor because much of it is in Chinese with no English translation."
"I would like to have a contact individual at Microsoft."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"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 solution offers a free trial, however, it is too short."
"If something goes wrong, it's very hard to investigate what caused it and why."
"The initial setup is complex."
"The collection and analysis of historical data could be better."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
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.