Elassandra vs Elastic: What are the differences?

## Key Differences between Elassandra and Elastic

Elastic is a search engine based on Apache Lucene, while Elassandra combines Elasticsearch with Apache Cassandra, providing a seamless integration of search and data management capabilities in a single platform.
Elassandra's architecture allows for distributed indexing and search, as both Elasticsearch and Apache Cassandra are distributed systems, whereas Elastic primarily focuses on search functionalities without natively supporting distributed data storage.
Elasticsearch uses its own query language (DSL) for searches and aggregations, whereas Elassandra supports both Elasticsearch DSL and Cassandra Query Language (CQL) for querying and managing data.
Elasticsearch offers near real-time search capability, while Elassandra provides real-time search and data modification due to its integration with Apache Cassandra's distributed database capabilities.
Elassandra leverages Cassandra's multi-master replication model for high availability and fault tolerance, while Elastic relies on its own replication mechanism for data redundancy and fault tolerance.
Elasticsearch excels in text search and analytics, whereas Elassandra is well-suited for applications requiring a combination of search and data management capabilities in a scalable and distributed environment.

In summary, Elassandra integrates Elasticsearch with Apache Cassandra to provide a unified platform for distributed search and data management, whereas Elastic focuses primarily on search functionality without native support for distributed data storage.