Amazon Elasticsearch Service vs Elastic Cloud: What are the differences?

Introduction This markdown code provides a comparison between Amazon Elasticsearch Service and Elastic Cloud, highlighting key differences between the two.

1. Pricing Model: Amazon Elasticsearch Service offers Pay-As-You-Go pricing, allowing users to pay only for the resources they consume, with no upfront costs or minimum fees. On the other hand, Elastic Cloud offers subscription-based pricing, with various tiers based on the desired features and resources.

2. Deployment and Management: Amazon Elasticsearch Service is fully managed by Amazon Web Services (AWS), taking care of deployment, patching, scaling, and monitoring, which relieves users from the operational burden. Elastic Cloud, on the other hand, offers a managed service as well but supports deployment on various cloud providers including AWS, Microsoft Azure, and Google Cloud Platform.

3. Advanced Features: Amazon Elasticsearch Service supports additional features such as integration with AWS services like Kinesis Data Firehose, CloudWatch, and Identity and Access Management (IAM). It also provides the ability to deploy Elasticsearch clusters in multiple Availability Zones for high availability. Elastic Cloud, on the other hand, offers advanced features including machine learning, anomaly detection, and security features like role-based access control (RBAC), encryption at rest, and SSL/TLS encryption.

4. Scalability: Both Amazon Elasticsearch Service and Elastic Cloud offer scalable solutions. However, Amazon Elasticsearch Service allows users to easily provision and scale resources on-demand, automatically handling the underlying infrastructure to ensure high availability and performance. Elastic Cloud also provides scalability but requires manual setup and configuration for resource scaling.

5. Integration with Other Tools: Amazon Elasticsearch Service seamlessly integrates with various AWS services like Amazon S3, Amazon CloudWatch, and AWS Identity and Access Management. This integration allows users to easily ingest and analyze data from different sources. Elastic Cloud, on the other hand, offers integrations with a wide range of third-party tools and services, allowing users to extend the functionality and capabilities of their Elasticsearch clusters.

6. Support and Documentation: Amazon Elasticsearch Service provides support and documentation through the AWS Support Center, offering different levels of support plans based on user requirements. Elastic Cloud offers support through the Elastic Support Portal, providing various support plans including basic, standard, and enterprise levels. Both platforms also have extensive documentation available for users to refer to.

In Summary, Amazon Elasticsearch Service and Elastic Cloud differ in their pricing models, deployment and management approaches, advanced features, scalability options, integration capabilities, and support and documentation offerings.