In-memory data grids can help improve customer experience
Even a year ago, companies generally had enough database capacity to handle and process daily customer activities. However, industry analysts at IDC predicted a massive rise in mobile internet usage on smartphones and tablets. These mobile data streams are being further augmented with distributed, interconnected systems, such as those now found in cars, household appliances, and utility sensors. The combined transactional volumes from the “Internet of Things” explain that traditional database systems may soon reach their limits.
Indian enterprises are now looking to scale systems in a way that allows them to maintain performance and take advantage of the business opportunity presented by mobile. Whereas traditional data tiers are often too rigid, complex and expensive to meet the mobile data challenge, in-memory data grids are designed to provide the necessary levels of performance and flexibility at scale. As a result, in-memory data grids are quickly becoming a popular approach to modernise software and accommodate complex performance requirements.
We can say that a data grid can act as a supercharger for an application. It boosts application performance to accommodate larger volumes of transactions, spikes in activity, and all at in-memory speeds. And, due to their distributed, fault-tolerant nature, data grids are well-suited to support today’s global, decentralized businesses.
Data grids can be used in a variety of different industries from providing a seamless customer experience across mobile and web applications, to achieving reliable performance and scale through seasonal business fluctuations, and reducing the load on traditional relational databases to offer time-sensitive services to users. Data grid technologies are also increasingly used by global companies to manage and distribute resources across multiple data centers in real time. This helps them handle large transaction volumes, meet high uptime expectations, or integrating with a diverse and dynamic IT environment.
Finally, in-memory data grid technologies empower organizations to achieve a high degree of flexibility and performance for their applications and streamline interactions with the data tier – enabling enterprises to take advantage of business opportunities and go to market faster.
- Digitally Transform For The New Breed Of Customer
- Why Cloud Adopters Need Visibility Into Their Network
- Enterprise Networks: Things To Focus On In 2018
- Which Sector Will Be The First To Go 100% Robot?
- Looking At The World Through A Digital Lens
- Uber Data Breach: Accountability, Corporate Ethics In Question
- 4 Big Data Trends To Watch In 2018
- Customer-Facing Web, Mobile Apps Pose Highest Security Risk: Study
- Stratus Unveils Edge Computing Strategy
- 70% Consumers Stop Following A Business After Data Breach: Study