What is Apache Pulsar?
Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.
Apache Pulsar is a tool in the Message Queue category of a tech stack.
Apache Pulsar is an open source tool with 8.9K GitHub stars and 2.2K GitHub forks. Here’s a link to Apache Pulsar's open source repository on GitHub
Who uses Apache Pulsar?
6 companies reportedly use Apache Pulsar in their tech stacks, including MercadoLibre, tech, and Dibstack.
64 developers on StackShare have stated that they use Apache Pulsar.
Apache Pulsar Integrations
Pros of Apache Pulsar
Easy to deploy
Apache Pulsar's Features
- Unified model supporting pub-sub messaging and queuing
- Easy scalability to millions of topics
- Native multi-datacenter replication
- Multi-language client API
- Guaranteed data durability
- Scalable distributed storage leveraging Apache BookKeeper
Apache Pulsar Alternatives & Comparisons
What are some alternatives to Apache Pulsar?
See all alternatives
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.