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 Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics."The solution operates as a classic message broker but also as a streaming platform."
"Provides deep integration with other Azure resources."
"The way it organizes data into tables and dashboards is very helpful."
"Technical support is pretty helpful."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"It provides the capability to streamline multiple output components."
"We use Azure Stream Analytics for simulation and internal activities."
"We find the query editor feature of this solution extremely valuable for our business."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"Documentation is poor because much of it is in Chinese with no English translation."
"If something goes wrong, it's very hard to investigate what caused it and why."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"The solution’s customer support could be improved."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"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."
"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."
"The initial setup is complex."
"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."
Apache Pulsar is ranked 12th in Streaming Analytics with 1 review while Azure Stream Analytics is ranked 4th 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.