2022 Predictions: Databases, AI, Chaos Engineering, and More

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Read more about co-authors Siddon Tang and Shen Li.

As we get started with 2022, organizations continue to leverage new strategies and technologies to maximize the value they get from data. These emerging trends will play a major role in shaping how enterprises use and harness data this year and beyond. Read on for our predictions regarding databases, AI, chaos engineering, and more.

Siddon Tang, Chief Architect, PingCAP

Chaos-as-a-service will bring chaos engineering to masses: In the early 2010s, Netflix pioneered the practice of chaos engineering, a process for testing a highly distributed computing platform’s ability to withstand random disruptions and ultimately improve its reliability and resilience. Since then, chaos engineering has been adopted by other major web companies, but it hasn’t caught on with organizations running sub-hyperscale deployments, who lack the resources to leverage it. However, in 2022, a new concept will begin to gain steam that will help bring chaos engineering to orgs of all sizes: chaos-as-a-service (CaaS). CaaS will eventually enable orgs that aren’t running at the scale of Netflix or Facebook to leverage chaos engineering and boost their infrastructure’s resiliency. 

Shen Li, Head of Global Business, PingCAP

The rise of cloud-native databases: As the pandemic drove increasing use of online services, traditional database systems struggled to keep up with all the requests and new data that flooded in. In 2022, more organizations will remedy this by transitioning to cloud-native databases. Cloud-native databases provide improved agility, scalability, reliability, and availability compared to traditional databases. Adoption of cloud-native databases will pick up particularly among enterprises in the e-commerce and finance sectors, which must support a massive number of customer transactions and rapidly expanding data volumes while having to create new apps in order to deliver new services. 

Smarter, scalable data extraction: While accelerating digital transformation continues to be top of mind, many organizations are still facing extensive big data challenges, including the need to extract real-time, relevant data at scale and at a faster pace. In 2022, more leaders will be betting on cloud-native databases to mitigate complexities introduced to their environment by conducting data integration themselves or through third-party Data Management tools. The business results will shine through as they will be able to extract data much quicker and lower their operational costs while taking further steps toward their digital transformation goals and business growth initiatives.

Organizations will dive into self-service intelligence: In 2022, organizations will equip their line-of-business users and CMOs with self-service intelligence. This intelligence will provide these users with a single, real-time view of data to drive immediate decisions on new services, while further enabling them to see the impact of tweaks they make to these new services and how they impact their ROI bottom line. To achieve this, organizations will embrace a nimble data-on-demand model that can accommodate “what if” scenarios on the fly. That model must be underpinned by a database that is able to scale quickly, can easily integrate natively historical/transactional data with real-time analytics, and is highly available to address the always-on needs of online businesses.

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