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Apollo vs Elastic Cloud on Kubernetes: What are the differences?
Comparison between Apollo and Elastic Cloud on Kubernetes
Apollo and Elastic Cloud on Kubernetes (ECK) are both popular solutions for managing and deploying applications in a Kubernetes environment. However, there are key differences that set them apart. Here, we outline six specific differences between Apollo and ECK:
- Architecture: Apollo is built on a microservices-based architecture, making it highly scalable and flexible. On the other hand, ECK follows a more traditional monolithic architecture.
- Deployment flexibility: Apollo provides a wide range of deployment options, including on-premises, cloud-based, and hybrid deployments. ECK primarily focuses on cloud-based deployments, specifically on the Elastic Cloud platform.
- Feature set: Apollo offers a comprehensive set of features for application deployment, monitoring, and management. It includes advanced capabilities such as auto-scaling, self-healing, and rolling updates. ECK, although feature-rich, focuses more on providing seamless integration with the Elastic Stack for search and analytics purposes.
- Vendor support: Apollo is developed and supported by an independent software vendor (ISV). ECK, on the other hand, is backed by Elastic, the company behind the Elastic Stack, providing strong vendor support and integration with their ecosystem.
- Ease of use: Apollo emphasizes simplicity and ease of use, with a user-friendly interface and intuitive workflows. ECK, while still user-friendly, may require more familiarity with the Elastic Stack and Kubernetes concepts to fully leverage its capabilities.
- Cost considerations: Apollo offers flexible pricing options, including both free and paid tiers. ECK, being a commercial offering, comes with a cost based on the chosen deployment model and resource usage.
In summary, Apollo and Elastic Cloud on Kubernetes differ in terms of architecture, deployment flexibility, feature set, vendor support, ease of use, and cost considerations. Your choice between them should be based on your specific requirements and priorities.
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Learn MorePros of Apollo
Pros of Elastic Cloud on Kubernetes
Pros of Apollo
- From the creators of Meteor12
- Great documentation8
- Open source3
- Real time if use subscription2
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Cons of Apollo
Cons of Elastic Cloud on Kubernetes
Cons of Apollo
- File upload is not supported1
- Increase in complexity of implementing (subscription)1
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What is Apollo?
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
What is Elastic Cloud on Kubernetes?
Elastic Cloud on Kubernetes simplifies setup, upgrades, snapshots, scaling, high availability, security, and more for running Elasticsearch and Kibana in Kubernetes for one or many use cases.
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What companies use Elastic Cloud on Kubernetes?
See which teams inside your own company are using Apollo or Elastic Cloud on Kubernetes.
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What are some alternatives to Apollo and Elastic Cloud on Kubernetes?
Helios
Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers.
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Relay Framework
Never again communicate with your data store using an imperative API. Simply declare your data requirements using GraphQL and let Relay figure out how and when to fetch your data.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.