Highlights

  • Machine Learning’s power to predict will increasingly be put to the database in 2022, thus producing numerous benefits to predictive index and analytics.
  • A spike in data consumption will drive the concept of the data mesh, bringing modern distributed architecture principles into data management.
  • With more and more vendors changing open source solutions to more proprietary licenses, there will be an increase in decisive responses from open source communities around those projects.

Instaclustr, an open source as-a-service company helping organizations deliver applications by operating and supporting their open-source data infrastructure, announced three accelerating trends, which it considers to be crucial fordata management strategy in 2022.

The trends are summarized as follows:

  • ML-powered predictive analytics come into the database

Machine Learning’s power to predict will increasingly be put to the database in 2022, thus producing numerous benefits to predictive index and analytics. Traditional database management systems are complex because of myriad data designs, unpredictable data usage patterns, and storage management, all of which are beyond the database’s control. Even expert database admins struggle with this complexity by analyzing data traffic patterns and storage growth to design efficient queries. This technology is soon replacing binding complexity with the help of predictive models to predict accurately where the data resides and then create data indexes and manage storage accordingly. The emergence of Machine Learning capabilities will see a huge spike in the years ahead.

  • Data lake integrations push enterprises to adopt distributed “data mesh” strategies

As enterprises adopt data lakes to improve analytics and data visibility, many will opt for technologies that can enable better integration of their data with data lakes. A spike in data consumption will drive the concept of the data mesh, bringing modern distributed architecture principles into data management. With data mesh, teams within an enterprise take responsibility and directly own the data that’s vital to them, this ensures immediate and decentralized control over data. In 2022, look for enterprises to adopt data mesh practices to empower their teams with advantages such as direct self-service data access.

  • Open source communities will stretch more to keep data and analytics technologies open source

With more and more vendors changing open source solutions to more proprietary licenses, there will be an increase in decisive responses from open source communities around those projects. Such communities have understood their potential to lead their own fully open-source forks and keep developing technologies with no need for original vendors. To cite an example, Elasticsearch abandoned pure open source licensing. The same trend will continue in 2022 with  original vendors and the open source communities newly independent of them vying for users.

Expert view

“2022 may very well go down as an especially noteworthy pivot point for data management technology, with several new technology and strategy trends on track to shape practices for years to come,” said Ben Slater, Chief Product Officer, Instaclustr.

He added, “Smart enterprises will keep a close eye on these trends as they unfold over the next year, and make moves to capitalize on them to speed application development and add meaningful efficiencies into their data and analytics processes.”