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Compare Apache Pulsar vs. Apache Spark Streaming

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Top Answer: The solution is better than average and some of the valuable features include efficiency and stability.
Top Answer: There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused. For example, it is still not plug and play and use as… more »
Top Answer: The primary use of the solution is to implement predictive maintenance qualities.
Ranking
24th
out of 38 in Streaming Analytics
Views
181
Comparisons
171
Reviews
0
Average Words per Review
0
Rating
N/A
9th
out of 38 in Streaming Analytics
Views
3,497
Comparisons
3,256
Reviews
2
Average Words per Review
334
Rating
7.5
Comparisons
Also Known As
Spark Streaming
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Pulsar
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Overview

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

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Sample Customers
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UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider16%
Media Company9%
Financial Services Firm9%
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: November 2021.
554,873 professionals have used our research since 2012.

Apache Pulsar is ranked 24th in Streaming Analytics while Apache Spark Streaming is ranked 9th in Streaming Analytics with 2 reviews. Apache Pulsar is rated 0.0, while Apache Spark Streaming is rated 7.6. On the other hand, the top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". Apache Pulsar is most compared with Apache Flink, Amazon Kinesis, PubSub+ Event Broker and Spring Cloud Data Flow, whereas Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Databricks and Amazon MSK.

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.