Geo-Replication: Apache Pulsar vs Kafka

Geo-replication is a method used by companies all over the world. It’s practically a way of making a backup of all data, in case one of your data centers goes down. That way, you’ll still be able to access the data on another server without putting your entire operation in jeopardy. Stay with us, and we’ll explain everything in more detail.

No matter what type of business you’re running online, managing data pipelines and making sure that you work with high-quality data is crucial for success. There are many different ways to improve the quality of the data you use, but making sure that your data is stored correctly should be your biggest concern.

What is Geo-Replication?

Working with large amounts of data is a complicated process. Most modern businesses generate a ton of data on a daily basis, so they need a storage space large enough to accommodate all of the data. Geo-replication is one of the storage methods used by companies all over the world. It basically includes copying all files and storing them in multiple data centers located all over the globe.

The method is used to create backups of all important data, providing redundancy, in case your original data center experiences an unexpected crash. Instead of keeping all of your data in one place, you can distribute it throughout a worldwide data network. That way, your users can simply access the data center nearest to their location, which helps increase LAN speeds.

As we’ve mentioned already, the biggest benefit of using geo-replication is its ability to keep your data safe in case your primary storage location experiences a problem. All of your data will be stored in multiple locations that are completely independent, meaning they can’t possibly all go down simultaneously. The method is used as a backup for your data, but it also provides benefits to your users.

Who Is Geo-Replication Relevant For Large Enterprises?

Geo-replication is a life-saver for businesses of all sizes, especially enterprises. They operate on a very demanding level that generates a massive amount of data every day. Imagine what would happen if an enterprise lost all of its data. That would probably mean the end of the business, as the damages will surely have a huge impact on their income. Not to mention that the entire operation would have to stop until the problem is resolved.

Geo-replication is one of the best disaster recovery plans a business can have. It makes sure that businesses keep their data in multiple locations. If one data center fails, the company can still access it but from a different location. That can be a huge life-saver when it comes to handling data. Many businesses and enterprises are moving their data from internal to external storage to make sure that it never gets lost.

Of course, all replicated data is saved to an online cloud, so no matter what happens, you won’t have to worry about losing it in case something happens. We all know that businesses are as successful as the quality of the data they rely on a daily basis. Making sure that your data is safe and sound at all times should definitely be one of your biggest concerns.

How Is it Used

Every enterprise or organization needs a solid backup plan to make sure that their data is always easily accessible and safe. Relying on the 3-2-1 backup rule, most companies keep their data that says that all data should be copied at least three times. According to this rule, companies should make three copies of all data and distribute them across at least two different storage media. That includes the original storage location and at least one offsite storage location.

Today, you can simply rent cloud storage to keep your files safe and sound. Geo-replication is a point of focus for a lot of software solutions, but the two most popular options are Kafka and Pulsar. Both platforms offer similar benefits in case of a disaster, but they don’t operate exactly the same. Let’s take a look at what happens to your data in case one of your data centers goes down.

What Happens If A Data Center Goes Down?

Apache Kafka is one of the most popular data pipeline management tools, and many companies use it to manage data flow between multiple datacenters. Kafka organizes all data into clusters that are then distributed across multiple data centers. However, copying and managing files across multiple data centers with Kafka’s tools is often very complicated. In case of an emergency, it might take your IT team days to sync all of the data and keep your operation running smoothly.

Apache Pulsar enterprise support is another popular platform for geo-replication. It offers some benefits when compared to Kafka, but it’s also complicated to configure correctly. It allows you to set up asynchronous and synchronous data replication, which provides more flexibility. Enterprises can keep all data in one cluster that is copied multiple times. However, this platform is very expensive, with complex maintenance and a lack of flexibility in some cases. That’s where Pandio can help you a lot.

Pandio is the perfect solution for financial services companies looking to digitize their operation fully. It offers all kinds of benefits aimed to improve your entire operation while keeping your data safe and well-organized. It’s a fully managed distributed messaging service built on Apache Pulsar, and it makes most maintenance and data organization as simple as possible. It uses AI to pinpoint issues and find solutions before a major disaster even happens.

It presents the most flexible and capable platform that makes data management much easier than it ever was before. Apart from geo-replication, it also improves the quality of data storage, helps manage everything in detail, improves overall data center speed, and much more.


Making sure that your business’s data is safe and sound at all times should be one of your biggest concerns. With Pandio, you can simplify the process of geo-replication as much as possible. If anything happens to your data storage, Pandio will help you run your operation from other data centers without any downsides. Pandio is the leader in AI Orchestration, automatically orchestrates data, models and ML tools to solve the complexity of scaling AI for your enterprise support.

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