# Apache Pulsar

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/apache-pulsar
- **Dataset:** https://optimly.ai/brand/apache-pulsar.json
- **Markdown:** https://optimly.ai/brand/apache-pulsar/llms.txt
- **Official website:** https://apache.org
- **Slug:** apache-pulsar
- **Categories:** cloud-infrastructure

## Overview

- **Tagline:** Cloud-native, distributed messaging and streaming platform with a unique layered architecture that enables rapid horizontal scalability without data reshuffling. It features low-latency messaging and streaming, seamless geo-replication, multi-tenancy as a first-class citizen, automatic load balancing, and supports up to one million unique topics in a single cluster.
Source: Brand's website (https://apache.org) · 2026-10-04

- **Description:** Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud. It is an all-in-one platform proven at scale by hundreds of companies, serving millions of messages per second, offering low-latency message consumption and rapid scaling without data reshuffling.
Source: Brand's website (https://apache.org) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Apache Pulsar
  - an all-in-one messaging and streaming platform
  - offering features like rapid horizontal scalability
  - low-latency messaging
  - geo-replication across regions
  - multi-tenancy with resource separation and access control
  - automatic load balancing
  - support for six official client languages (Java
  - Go
  - Python
  - C++
  - Node.js
  - C#)
  - official 3rd party integrations (e.g.
  - MySQL
  - Elasticsearch
  - Cassandra)
  - and serverless functions (Pulsar Functions) for message processing.
Source: Brand's website (https://apache.org) · 2026-10-04

- **Pricing:** Open-source with community support; commercial support and managed services are typically provided by third-parties.
Source: Brand's website (https://apache.org) · 2026-10-04

## Audience

- **Target industry:** Companies of various sizes requiring scalable messaging and streaming solutions, distributed work queues, order-preserving data streams, scalable RPC for micro-services, mission-critical applications needing high failure resiliency, and organizations aiming to consolidate multiple messaging technologies into a single, company-wide platform.
Source: Brand's website (https://apache.org) · 2026-10-04

## Landscape

- **Competitors:**
  - Kafka
  - ActiveMQ
  - RabbitMQ
Source: Brand's website (https://apache.org) · 2026-10-04

Page last updated 2026-10-17.