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Pulsar vs Kinesis – Which is The Best Messaging Queue System

Everything we do when we go online generates tons of data that is collected, analyzed, and stored by companies who then use it to upgrade their operation. That is usually done with complex software and tons of infrastructure that costs a lot of money.

Both Pulsar and Kinesis allow you to collect and analyze data in real-time, allowing you to respond to changes as they happen. But which one has better features, and how they help you crunch vast collections of data? Keep reading, and we’ll give you more details.

Apache Pulsar

Apache’s Pulsar is an updated version of Kafka, one of the most popular open-source pub/sub messaging systems in the past decade. It’s an ideal platform designed to help you manage your messages, and it allows you to crunch vast amounts of data in real-time.

Yahoo made Pulsar, and it was supposed to help companies with solutions that are still not present in other open-source software. It comes with a few advanced features designed to help you keep data files without using your entire storage space. When the data piles up, you will eventually have to delete the old entries to make room for new ones. 

Pulsar’s unique feature called Tiered Storage uses automation to move old data to a cloud and replace it with newer data. That way, clients can access all data, including data moved to the cloud seamlessly, even though the messages are not located in the log. 

Apache Pulsar has its ecosystem for processing large amounts of data. It can pair up with other Apache solutions to provide an even better breakdown of important information. It also uses Facebook’s open-sourced Presto engine for SQL querying and multiple other data systems to improve functionality. 

By working closely with Pulsar Functions and Pulsar IO, the software can help you crunch a lot of data without losing any functionality.

AI Scaling at Its Best

Pulsar does most data analysis by itself. It uses advanced AI to crunch massive influxes of data with minimal human intervention. Pulsar was built on cloud services from the get-go, which is why it can handle so many complex components at the same time. It allows stable scaling and easy monitoring with little or no maintenance needs.

It’s a complete solution that allows you to extract and analyze data without expensive software such as Lambda or any additional services. It also provides exceptional support, allowing businesses to get the most out of the software. 

Pulsar offers a unique set of features mixed with advanced functions in one platform. In other words, it eliminates the need for multiple messaging technologies such as RabbitMQ, Amazon SQS, and Kafka. 

You won’t need Kinesis Streams any longer to load streaming data into data stores. Pulsar is created to help businesses with their data streaming needs making the entire process much easier and more manageable.

Amazon Kinesis

Amazon Kinesis is also a messaging solution that works within the AWS cloud. It pushes large amounts of data into the Kinesis Streams from any data producer, including web-based applications, IoT devices, and any other system that produces data. 

It’s made to be much simpler to set up than most other similar solutions. You don’t need more than a few hours to set up production to stream and process large amounts of data. 

Amazon Kinesis uses AI to take care of most features, including infrastructure, networking, storage, and data-streaming configuration. It also handles all provisioning, deployment, hardware maintenance, and software services automatically. 

You can also use it to create Kinesis producers and consumers who can interact with the Kinesis broker even if they are outside of the AWS using Kinesis APIs and AWS’s SDKs. 

The high availability system is fully managed by AWS, allowing Kinesis to provide constant availability and data durability. It automatically replaces old data across three different zones. 

You can set up the maximum retention period to seven days per shard. However, if you increase the number of shards, you can analyze more data simultaneously.

Pay Only For The Features You Use

Amazon uses the pay-as-you-go plan for each specific user. You will be able to set up your data streaming services according to your needs, and the price you pay depends on the services you select. It’s determined by the number of shards you need to cover all incoming data and the producer’s size that broadcasts the data to Kinesis. 

That’s an excellent approach as you won’t have to pay for everything straight up. That allows you to create a custom plan based on the workload and not the solution itself. 

Another great thing about Kinesis is that it automatically takes care of the system’s high-availability, minimizing failures and the need for data recovery. It’s a much more manageable and safer option than what Pulsar is offering.

Pandio – Improving Pulsar With Advanced AI

Some areas require a different approach to get the most out of the generated data. Pandio is the first distributed messaging system made to handle challenges in managing Big Data, Machine Learning, and Ai.

It’s been running Apache Pulsar for billion-dollar companies for over two years as it offers some incredible features designed to allow scaling without any external streaming solutions. Pandio ensures features like zero message loss, millions of topics, message guarantees, geo-replication, multi-tenancy, and so on. Here’s a quick overview of the benefits you get from using Pandio:

  • Complete maintenance and support for messaging;
  • A cost-effective solution where you pay only for what you use;
  • Constant updates and improvements;
  • Best performance possible;
  • Simplified streams, queues, and functions;
  • Neural network optimization unlike any other;
  • Expert AI solutions;
  • Integration with hundreds of connectors;

The Bottom Line

Both Kinesis and Pulsar provide advanced messaging and streaming applications, but Pulsar allows faster throughput and lower latency. It also provides integration with other Apache tools like Kafka, and it supports integration with other services like Pandio.

Pandio is a service designed to simplify using Pulsar by implementing AI and machine learning features that do most of the work for you. In short, Pandio is a window into the future of messaging and data streaming.

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