Elastic Search vs Red Hat OpenShift comparison

Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.

Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.

Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.

At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.

Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.

In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.

OpenShift is Red Hat's Kubernetes platform that provides a cloud environment for development, hosting, and scaling applications. The solution enables a cloud-like experience regardless of the location where it has been deployed, including in the cloud, on premises, or at the edge. It allows developers to select where to build, deploy, and run applications through a consistent experience, supported by full-stack automated operations, and self-service provisioning.

OpenShift employs an open hybrid cloud strategy which is built on the foundation of technologies including Linux, containers, and automation. This approach provides clients with a flexible selection of where to run their applications. Applications can be built on Red Hat Enterprise Linux and are automatically compatible with Red Hat Ansible Automation Platform. OpenShift enables automation inside and outside clients' Kubernetes clusters.

The solution works with traditional, modernized, and cloud-native applications. It supports a wide variety of workloads, including Java, artificial intelligence and machine learning (AI/ML), and databases. Due to the vast ecosystem of technology partners that OpenShift supports, clients can benefit from automated deployment and life-cycle management. This product improves the security of the full application life cycle by decreasing operational risk. This is achieved by shifting security left and automating development, security, and operations (DevSecOps).

OpenShift Features

OpenShift facilitates clients’ application-running processes through various features. Some of the product’s features include:

• Backup and recovery: This feature ensures logical and physical protection through containers, Kubernetes, and serverless present opportunities. It is used to meet recovery point objectives (RPO) and recovery time objectives (RTO).
  
  
• CI/CD pipelines: This feature of OpenShift automates the continuous integration and continuous deployment (CI/CD) pipelines, accelerating the time for application development.
  
  
• GitOps: The GitOps feature increases security and reliability for applications through tools like Git repositories, Kubernetes, and CI/CD. The product includes this feature to allow developers more freedom in app development through tracing and accounting for the application life cycle in the Git repository.
  
  
• Helm: Helm is a package and installs manager that simplifies the deployment of containerized apps. It is included in the features of OpenShift to assist users with interoperability and support cloud-native applications from independent software vendors (ISVs).
  
  
• Sandboxed containers: OpenShift offers sandboxed containers based on Kata Containers to provide an additional layer of isolation for applications while meeting high-security requirements.
  
  
• Windows containers: The product offers this feature to facilitate users when running their Windows applications by providing them a scheduled, orchestrated, and managed environment.
  
  
• Security: OpenShift offers various operations through which clients can ensure the safety of their data and applications. They include container host and platform multitenancy, security and trusted content sources, security of the container registry, the build pipeline, and data, managing security container deployments, and more.
  
  
• Service Mesh: This feature provides a uniform way for clients to connect, manage, and observe microservices-based applications. It also provides detailed behavioral insight.
  
  
• Operators: This feature automates the development, configuration, and management of Kubernetes-native applications.
  
  
• Virtualization: OpenShift allows users to run and manage virtual machine (VM) and container workloads side by side.

OpenShift Benefits

OpenShift provides the companies and users utilizing it with various benefits. These benefits include the following:

• OpenShift provides scalability for applications, allowing them to run across hundreds of nodes in seconds.
  
  
• The product offers flexibility by simplifying the deployment and management of hybrid infrastructure and providing self-managed or fully-managed service.
  
  
• OpenShift incorporates open-source technologies alongside its native components and features.
  
  
• The product enhances the developer experience by offering a variety of tools, multi language support, and integrated development environment (IDE) integrations.
  
  
• The solution supports automated installation and over-the-air platform upgrades in the cloud with Amazon AWS, Google Cloud Platform, IBM Cloud, and Microsoft Azure, as well as various on-premise platforms.
  
  
• OpenShift includes streamlined and automated container and app builds, as well as health management and scaling.
  
  
• The solution enhances the support of smaller-footprint topologies in edge scenarios.
  
  
• OpenShift provides easy multiple cluster management through Red Hat Advanced Cluster Management for Kubernetes.
  
  
• The product has enhanced security capabilities that include access controls, an enterprise registry with a built-in scanner, and networking.
  
  
• The solution supports a wide spectrum of enterprise storage solutions for running stateful as well as stateless apps.

Reviews from Real Users

An executive head of department - M-PESA Tech at a comms service provider gives OpenShift a high rating because its automation can go a long way in reducing time to market and the time required to fix issues that arise from deployment.

Vikram C., head of infrastructure & cloud ops at a comms service provider, rates highly three qualities of OpenShift, summarizing them to mature, seamless integration, and easy setup.