Apache Pulsar
UnclaimedCloud-native, distributed messaging and streaming platform for real-time workloads.
Visit WebsiteTL;DR - Apache Pulsar
- Cloud-native, distributed messaging and streaming platform.
- Scales horizontally with low latency and supports up to 1M topics.
- Offers multi-tenancy, geo-replication, and serverless functions.
Pricing: Free forever
Best for: Individuals & startups
4.5/5 across review platforms
Pros & Cons
Pros
- High scalability and low latency for real-time workloads.
- Cloud-native design with Kubernetes integration.
- Comprehensive feature set including multi-tenancy, geo-replication, and tiered storage.
- Supports a wide range of client languages and third-party integrations.
- Open-source with a large and active community.
Cons
- Can have a steeper learning curve due to its advanced features and distributed architecture.
- Requires careful management of its underlying components like Apache BookKeeper and ZooKeeper.
Ratings Across the Web
4.5(87 reviews)
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Key Features
Rapid Horizontal ScalabilityLow-latency messaging and streaming (<10ms)Supports up to 1 million topicsMulti-tenancy with access controlAutomatic Load BalancingCloud-native (K8s Ready)Seamless Geo-ReplicationOfficial multi-language support (Java, Go, Python, C++, Node.js, C#)
Pricing
Free
Apache Pulsar is completely free to use with no hidden costs.
About Apache Pulsar
By Toolradar Team·
Apache Pulsar is an open-source, distributed messaging and streaming platform designed for cloud environments. It offers an all-in-one solution for messaging and streaming, capable of handling millions of messages per second with low latency. Its unique layered architecture allows for rapid horizontal scaling across hundreds of nodes without requiring data reshuffling.
Pulsar is built for organizations of all sizes, supporting multi-tenancy with resource separation and access control, geo-replication across regions, and tiered storage for unlimited data retention. It simplifies application architectures by supporting up to one million unique topics in a single cluster and provides official client libraries for multiple programming languages. Additionally, it features serverless functions for message processing and integrates with popular third-party systems for data ingestion and egress.
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Apache Pulsar FAQ
How does Pulsar's architecture enable rapid horizontal scaling?
Pulsar's unique design separates its storage layer, allowing it to scale horizontally in seconds to handle sudden surges in traffic. This architecture ensures that increased load can be managed efficiently without data reshuffling.
What mechanisms does Pulsar offer for message acknowledgment?
Pulsar supports two primary message acknowledgment mechanisms: individual acknowledgment (similar to RabbitMQ) and cumulative acknowledgment per partition (offset-like). This flexibility enables use cases such as distributed work queues and order-preserving data streams.
How does Pulsar handle multi-tenancy and access control?
Pulsar treats multi-tenancy as a first-class citizen, allowing organizations to maintain a single cluster for all their needs. It provides access control across data (namespaces/topics) and actions (produce/consume), and specific brokers can be isolated for a tenant to ensure maximum noisy neighbor protection.
What is the role of Apache BookKeeper in the Pulsar ecosystem?
Apache BookKeeper is a cluster of nodes called bookies where messages are stored. Each virtual file (ledger) is divided into segments, replicated across multiple bookies, providing high resiliency and allowing operators to add bookies rapidly without data reshuffling.
Can Pulsar integrate with other popular messaging systems?
Yes, Pulsar is built to support additional protocols through community plugins, allowing it to act as a backend for popular messaging system clients like Kafka and RabbitMQ. This feature facilitates a gradual migration to Pulsar.
How does Pulsar support serverless functions?
Pulsar Functions allow users to write and deploy serverless functions natively. These functions can process messages using Java, Go, or Python without the need to deploy fully-fledged applications, and a Kubernetes runtime is bundled for convenience.
Source: pulsar.apache.org