Databases anddata analytics provide methods for ingesting, storing, processing, and analyzing datasets from a variety of sources for use cases such as mobile and ecommerce applications,AI/ML, business intelligence, and more.

• Agility - Deploy andmanage modularized databases and data analytics workloads anywhere with speed, allowing faster project execution and more frequent updates.
• Elastic scaling - Dynamic scaling of compute resources to meet the changing needs of databases and data analytics workloads.
• Portability - Containerize once, deploy and move anywhere.

Potential executional challenges for databases and data analytics workloads on containers and Kubernetes include:

• Downtime and data loss - Failures, outages, data corruption
• Operational complexity - Architecture and operations (e.g., containers, storage, networking, data protection), performance tradeoff
• Lack of ISV support - ISV endorsement or support documentation
• Lack of expertise - Gaps in skills and processes

Red Hat® OpenShift® allows you to run databases and data analytics in a consistent way across clouds to accelerate delivery of cloud-native applications.

Automated operations 

Kubernetes Operators simplify and automate the deployment, scaling, and lifecycle management ofcontainerized databases and data analytics on Red Hat OpenShift. This helps enableDevOps, and allows database administrators to focus on more strategic tasks such as controlling user access and security.

Consistency and portability

Secure deployment, operations, and portability in a consistent way across the hybrid cloud. Run containerized databases and data analytics in the same manner as the other components of the cloud-native application(s).

Partnerships and integrations with ISVs

Red Hat hasstrategic partnerships and integrations with key database and data analyticsISVs such as Microsoft, Cloudera, MongoDB, Crunchydata, Couchbase, and Starburst. Additionally, streams for Apache Kafka (Kafka on Kubernetes) uses Kubernetes Operators to help make our shared customers successfu

Red Hat Marketplace is a simpler way to buy and deploy container-based software on Red Hat OpenShift, including databases and data analytics workloads.

• Red Hat OpenShift Data Foundation

  Software-defined storage that gives data a permanent place to live as containers spin up and down and across environments.

• Case study

  GSE and Blaze transform the electricity market with OpenShift

• Blog post

  Red Hat OpenShift 4.19 accelerates virtualization and enterprise AI innovation

• Analyst material

  Meeting power grid challenges with new computing technologies

• E-book

  Transform your applications with Red Hat and Google Cloud

• Why choose Red Hat storage
• File storage, block storage, or object storage?