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  4. Message Queue
  5. Apache NiFi vs Apache Pulsar

Apache NiFi vs Apache Pulsar

OverviewComparisonAlternatives

Overview

Apache Pulsar
Apache Pulsar
Stacks119
Followers199
Votes24
Apache NiFi
Apache NiFi
Stacks393
Followers692
Votes65

Apache NiFi vs Apache Pulsar: What are the differences?

What is Apache NiFi? A reliable system to process and distribute data. An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

What is Apache Pulsar? Distributed solution providing messaging and queuing for streaming data. 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 NiFi and Apache Pulsar belong to "Message Queue" category of the tech stack.

Some of the features offered by Apache NiFi are:

  • Web-based user interface
  • Highly configurable
  • Data Provenance

On the other hand, Apache Pulsar provides the following key features:

  • Unified model supporting pub-sub messaging and queuing
  • Easy scalability to millions of topics
  • Native multi-datacenter replication

"Visual Data Flows using Directed Acyclic Graphs (DAGs)" is the primary reason why developers consider Apache NiFi over the competitors, whereas "Simple" was stated as the key factor in picking Apache Pulsar.

Apache Pulsar is an open source tool with 6.24K GitHub stars and 1.51K GitHub forks. Here's a link to Apache Pulsar's open source repository on GitHub.

According to the StackShare community, Apache NiFi has a broader approval, being mentioned in 20 company stacks & 133 developers stacks; compared to Apache Pulsar, which is listed in 3 company stacks and 43 developer stacks.

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Detailed Comparison

Apache Pulsar
Apache Pulsar
Apache NiFi
Apache NiFi

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.

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

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
Web-based user interface; Highly configurable; Data Provenance; Designed for extension; Secure
Statistics
Stacks
119
Stacks
393
Followers
199
Followers
692
Votes
24
Votes
65
Pros & Cons
Pros
  • 7
    Simple
  • 4
    Scalable
  • 3
    High-throughput
  • 2
    Geo-replication
  • 2
    Multi-tenancy
Cons
  • 1
    No guaranteed dliefvery
  • 1
    Not jms compliant
  • 1
    Only Supports Topics
  • 1
    LImited Language support(6)
  • 1
    Very few commercial vendors for support
Pros
  • 17
    Visual Data Flows using Directed Acyclic Graphs (DAGs)
  • 8
    Free (Open Source)
  • 7
    Simple-to-use
  • 5
    Scalable horizontally as well as vertically
  • 5
    Reactive with back-pressure
Cons
  • 2
    Memory-intensive
  • 2
    HA support is not full fledge
  • 1
    Kkk
Integrations
No integrations available
MongoDB
MongoDB
Amazon SNS
Amazon SNS
Amazon S3
Amazon S3
Linux
Linux
Amazon SQS
Amazon SQS
Kafka
Kafka
Apache Hive
Apache Hive
macOS
macOS

What are some alternatives to Apache Pulsar, Apache NiFi?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

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.

Amazon SQS

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

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

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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