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Why Cloud Native Postgres is the natural next step in databases

Written by Jan Karremans, Director of Product Marketing, EMEA at EDB

According to findings from IDC Global DataSphere, the amount of data created and replicated in 2020 saw unusually high growth due to the increase in people working, learning, and entertaining themselves from home. It was estimated that 1.7 megabytes of new data was created every second for every human on the planet. Despite the increase in data creation, IDC said that less than 2% of this new data was saved and retained into 2021 – the rest was created or replicated primarily for the purpose of consumption, or temporarily cached and subsequently overwritten with newer data.

Sluggishness and inefficient data management has led organisations to use different types of databases to manage emerging sources of data production. As a result of this anarchy, many organisations lost their single source of truth in terms of accessing data, applying analytics to it, drawing conclusions from it, and making timely business decisions based on data-backed insights. Merging data is both financially draining and time-consuming – making data management one of the largest operational costs within an organisation’s IT budget.

This worldwide data explosion is made up of structured and unstructured data, raw data, data-at-rest, data-in-transit and real-time data, all of which navigate IT infrastructure systems at an overwhelming volume, variety, versatility and velocity. This necessitates having the right mechanisms in place to filter and capture the right data sets for the right purposes to extract value, either through analytics, data science or artificial intelligence.

But how should organisations embark on this pressing data-driven transformation? Cloud Native Postgres may offer a solution to organisations struggling with data management.

 

Why is Cloud Native Postgres the Next Step in Databases?

External market forces are urging today’s organisations to move faster than ever. Businesses are scrambling to capitalise on new digital revenue opportunities. This involves building new applications, migrating existing ones, and advancing Cloud strategies. Cloud Native Postgres enables this acceleration by offering decision makers the benefits of speed, simplicity, flexibility, and practicality.

 

  • Speed: Cloud Native Postgres enables developers to expedite their software delivery projects across testing, staging, and production. Compatibility with Kubernetes makes deploying databases in the cloud less labour-intensive for DevOps teams, allowing IT decision makers to reallocate IT staff to more strategic tasks to go to market faster with the right architecture.

 

  • Simplicity: Unlike traditional databases that require external tooling to work in Kubernetes, Cloud Native Postgres works seamlessly in these modern IT infrastructures thanks to its collaboration with Red Hat and Kubernetes. Also, processes such as updates are automated, making the database simpler to manage.

 

  • Flexibility: Cloud Native Postgres enables organisations to deploy and manage Postgres databases wherever the business requires them, whether that be in a multi-cloud or a hybrid environment. This type of database easily scales up and down to accommodate fluctuations in business operations, scaling up to accommodate large employee onboarding, customer acquisition, and digital transformation initiatives, while scaling down to respond to internal and external restructuring projects.

 

  • Practicality: One of the largest costs for many organisations is the processing, storage, and management of data. With Cloud Native Postgres, many time-consuming tasks – such as managing external tooling or performing updates – are eliminated. This enables IT teams to win back some of the time spent on data management, and frees them up to focus on critical tasks, making data management more cost-effective.

 

Cloud Native Postgres offers many benefits to organisations. The technology aligns with organisations’ existing needs to modernise and scale increasingly complex IT environments. It also helps IT teams make data management smoother and reduce operational hassles, while helping the business get applications to market faster.

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