API Umbrella vs Elasticsearch: What are the differences?
# Introduction
In this Markdown, we will discuss the key differences between API Umbrella and Elasticsearch.
1. **Deployment:** API Umbrella is primarily used for managing API traffic and has features related to API management, whereas Elasticsearch is a search and analytics engine used for searching, analyzing, and visualizing data in real-time.
2. **Use Case:** API Umbrella is suitable for organizations looking to manage and secure APIs, while Elasticsearch is ideal for organizations wanting to perform advanced search and analysis on large datasets.
3. **Functionality:** API Umbrella provides features such as API key management, request throttling, and analytics for API usage, whereas Elasticsearch offers features like full-text search capabilities, data aggregation, and machine learning.
4. **Scalability:** API Umbrella can handle API traffic from multiple sources but is primarily focused on API management, while Elasticsearch is designed for scalability and can handle petabytes of data for search and analysis.
5. **Query Language:** API Umbrella uses its own configuration and management APIs for setting up API endpoints and policies, while Elasticsearch uses a query language called Query DSL for specifying queries and aggregations on data.
6. **Data Storage:** API Umbrella stores metadata related to API traffic and usage in its own database, while Elasticsearch stores data in a distributed Document-Oriented storage where each document is stored as JSON data.
In Summary, API Umbrella is geared towards API management and traffic control, while Elasticsearch is focused on search, analysis, and visualization of large datasets in real-time.
