Synonymous with business today is speed, performance, and efficiency; backed by modern applications, these attributes are possible—in theory. While modern applications are the key to boosting proprietary innovation, adaptability, and competitiveness, they necessitate transformations at the core of enterprise data infrastructures.
Ian Ward, head of scaled enterprise adoption at MongoDB, and Corey Brune, senior principal sales engineer at Delphix by Perforce, joined DBTA’s webinar, Powering Modern Applications: Data Management for Speed and Scale, to explore pivotal solutions for supporting today’s applications with flexibility and automation at the forefront.
Relational databases and legacy architectures lead teams to working around limitations—and AI is amplifying this challenge, according to Ward. From cloud “lift and shifts” to cloud sprawl, many enterprises are facing extensive complexities because of migrating legacy systems to the cloud, overprovisioning applications, and introducing AI into the fold.
“There is an exponential increase in this complexity—especially on the cloud—for bringing AI applications to life,” noted Ward.
MongoDB Atlas centralizes a variety of paradigms that transcend traditional transactional databases, offering OLTP, time series, full-text search, real-time analytics, and vector search within a single platform. Instead of having to piece these components individually to power a modern application, each of these capabilities are unified in a single database and “are built to be performant, resilient, and with security at top of mind,” according to Ward.
This centralization is powered by MongoDB’s ability to contain related data into a single, rich document that covers any use case. MongoDB’s document model offers the flexibility necessary to meet the evolving demands of tomorrow’s apps and is highly performant, scalable, and capable of accelerating developer workflows by mapping how they naturally code.
Echoing Ward, Brue said powering modern applications is fraught with challenges. The biggest issue migrating to the cloud, Brune identified, is data. Limited, shared environments, coupled with a lack of high-quality production data makes high RPM development impossible.
With Delphix, enterprises can eliminate as much as 90% of their data migration payload, bridging production to cloud with non-disruptive sync. By replicating data from on-prem to the cloud or cloud-to-cloud, Delphix creates virtual databases with that data to test production scenarios and ensure optimal outcomes. After initial ingest, only changes in the database are transmitted, accelerating cloud migration, according to Brune.
Delphix also offers hybrid cloud application development, enabling enterprises to move secure data to the cloud in minutes or hours while ensuring comprehensive test coverage and cloud data compliance. Once in the cloud, Delphix values ephemerality to increase cost efficiency and cloud agility, eliminating the need to persist database host machines or storage-consuming backups of dev/test environments.
For the full, in-depth webinar featuring detailed explanations, a roundtable discussion, and more, you can view an archived version of the webinar here.