Learn How Database Management is Changing in the Cloud Era

The world of database management is changing. Cloud adoption is accelerating, along with automation, offering a path for companies to increase their database capabilities while keeping costs in line.

Reducing infrastructure costs, improving systems agility and supporting new use cases are all key drivers.

At the same time, the challenges of managing, governing, securing and integrating data are growing in step as data environments continue to swell in size and complexity and new database skills and solutions are required.

DBTA recently held a webinar with Jeff Morris, VP product and solutions marketing, Couchbase; Sean Martin, CTO and founder, Cambridge Semantics; and Varun Verma, database solutions architect, Nutanix, who discussed how IT decision-makers and practitioners survive and thrive in the cloud era.

Data fabrics are the modern successor to warehouses and lakes, Martin said. Semantics and graph allow the data fabric to be an overlay spanning and encompassing the existing data and analytics landscape.

Semantic Graph data models capture and navigate data relationships, Martin explained. These solutions can:

  • Simplifies access to complex data to address unanticipated questions
  • Quickly profiles, connects and harmonizes data from multiple sources, including unstructured
  • Presents tailored views and experiences to different personas with conceptual models
  • Flexibly accommodates new data sources and use cases on the fly, with minimal impact
  • Scales horizontally to accommodate enterprise data fabric scale

The traditional database provisioning process can take hours, days, or weeks; involve multiple teams; introduces friction and complex processes; lowers business agility; decreases innovation rate; and increases time to market, Verma said.

Nutanix era provisioning can solve these issues, Verma explained. The platform can take minutes, be done by one person, eliminates friction and complex processes, increases business agility, increases innovation rates, and reduces time to market.

According to Morris, Couchbase’s NoEQUAL architectural differentiation can offer users:

  • Versatile Multi-model, Multi-mode, ACID, NoSQL database platform
  • No hassle scale out – shared-nothing, asynchronous, elastic architecture
  • Consistent performance at any scale – even when adding microservices
  • Always-on, globally distributed, edge-to-cloud
  • Location and deployment agnostic
  • Ease of programmability – schema flexibility + SQL in N1QL
  • Built-in replication
  • Workload isolation with multi-dimensional scaling

Couchbase Autonomous Operator is an application-specific controller that extends the Kubernetes API to create, configure, and manage instances of complex stateful applications on behalf of a Kubernetes user, Morris explained.

It builds upon the basic Kubernetes resource and controller concepts, but also includes domain or application-specific knowledge to automate common tasks better managed by computers.

An archived on-demand replay of this webinar is available here.