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Cassandra vs Elassandra: What are the differences?
Introduction
In the realm of databases, comparing Cassandra to Elassandra reveals key differences that are crucial for users to consider before making a decision. Cassandra is a highly scalable NoSQL database that excels in write-heavy workloads, while Elassandra is a combination of Elasticsearch and Cassandra, offering full-text search capabilities.
Data Model: Cassandra uses a wide column data model, allowing flexible schema design and fast write speeds. In contrast, Elassandra retains the same data model as Cassandra but adds features like full-text search capabilities through integration with Elasticsearch.
Search Capabilities: Elassandra benefits from the search capabilities of Elasticsearch, enabling users to perform complex search queries on their data with ease. On the other hand, Cassandra primarily focuses on providing high availability and fast write performance, with limited search functionality.
Scalability: Both Cassandra and Elassandra are known for their scalability, but Elassandra further enhances this aspect by leveraging Elasticsearch's distributed architecture. This allows Elassandra to handle massive amounts of data while maintaining high performance levels.
Consistency and Availability: Cassandra follows the AP (Availability and Partition Tolerance) design principle, prioritizing high availability and partition tolerance over strong consistency. Elassandra, on the other hand, introduces options for adjusting the consistency level to meet specific requirements, providing more flexibility in balancing consistency and availability.
Community Support: Cassandra has a large and active community, providing extensive resources, documentation, and community support. Elassandra, being a newer project, may have a smaller community base, which could impact the availability of resources and support for users.
Development and Maintenance: Due to the integration of Elasticsearch, Elassandra may require more complex development and maintenance processes compared to Cassandra. Users need to consider the additional resources and expertise needed to manage both Cassandra and Elasticsearch components in an Elassandra deployment.
In Summary, understanding the key differences between Cassandra and Elassandra, such as data model, search capabilities, scalability, consistency, community support, and development complexity, is essential for making an informed decision on selecting the right database solution for specific use cases.
The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.
The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.
Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring
Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.
i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra
By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.
Pros of Cassandra
- Distributed119
- High performance98
- High availability81
- Easy scalability74
- Replication53
- Reliable26
- Multi datacenter deployments26
- Schema optional10
- OLTP9
- Open source8
- Workload separation (via MDC)2
- Fast1
Pros of Elassandra
- Microservice database and search engine1
- Multi-master search engine1
- Well known API1
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Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1
Cons of Elassandra
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