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Apache Pulsar VS Redpanda

Compare Apache Pulsar VS Redpanda and see what are their differences

Apache Pulsar logo Apache Pulsar

Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.

Redpanda logo Redpanda

Redpanda is a powerful, yet simple, and cost-efficient streaming data platform that is compatible with Kafka® APIs while eliminating Kafka complexity.
  • Apache Pulsar Landing page
    Landing page //
    2023-12-17
Not present

Category Popularity

0-100% (relative to Apache Pulsar and Redpanda)
Developer Tools
67 67%
33% 33
Queueing, Messaging And Background Processing
Data Integration
100 100%
0% 0
Data Streaming
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pulsar and Redpanda

Apache Pulsar Reviews

Best message queue for cloud-native apps
Pulsar also provides a rich set of client libraries for various programming languages, making it easy to build messaging and streaming applications using Pulsar. Apache Pulsar is a popular choice for real-time data processing and messaging in large-scale data processing applications, such as those used in the financial, telecommunications, and internet-of-things industries.
Source: docs.vanus.ai

Redpanda Reviews

Best message queue for cloud-native apps
Redpanda message queue allows multiple producers to write messages to a single topic, and multiple consumers to read messages from that topic in parallel. Messages can be buffered in memory for fast delivery and persist to disk for durability. Redpanda also provides a number of features, such as replication, partitioning, and compression, to help manage large amounts of data.
Source: docs.vanus.ai

Social recommendations and mentions

Redpanda might be a bit more popular than Apache Pulsar. We know about 1 link to it since March 2021 and only 1 link to Apache Pulsar. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Pulsar mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago

Redpanda mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago

What are some alternatives?

When comparing Apache Pulsar and Redpanda, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

Memphis - Highly scalable, and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming applications fast.

KubeMQ - Kubernetes message broker and message queue platform. An open-source project providing the most efficient way to connect microservices.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.