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Cassandra vs Liquibase: What are the differences?
Introduction
This Markdown code provides a comparison between Cassandra and Liquibase, highlighting the key differences between the two.
Scalability: Cassandra is a highly scalable and distributed database system, designed to handle large amounts of data across multiple servers. It can easily handle massive amounts of data and provide horizontal scalability. Liquibase, on the other hand, is a database migration tool that helps manage and track changes made to the database schema over time.
Data Model: Cassandra follows a NoSQL data model, specifically a wide-column store, allowing for flexible schemas and dynamic columns. It is suitable for applications that require high availability and low latency. Liquibase, however, is agnostic to the underlying database and works with any database that has a JDBC driver, including both relational and non-relational systems.
Consistency: Cassandra offers eventual consistency, which means that the data may take some time to propagate across all nodes in a distributed cluster. This ensures high availability but sacrifices immediate consistency. Liquibase, on the other hand, focuses on maintaining consistency in the database schema by allowing controlled and repeatable changes.
Data Replication: Cassandra provides built-in support for data replication across multiple nodes, making it highly resilient to failures. It uses a peer-to-peer distributed system with no single point of failure. Liquibase does not have built-in data replication capabilities, as its primary focus is on managing the database schema and tracking changes.
Data Query Language: Cassandra uses CQL (Cassandra Query Language), which is similar to SQL but has additional features specific to Cassandra's data model. It supports complex querying, including filtering, sorting, and aggregating data. Liquibase does not have its own query language, as it primarily operates at the database schema level and uses the SQL queries specific to the underlying database.
Data Integrity: Cassandra provides tunable consistency levels, allowing users to select the desired balance between consistency and availability. It supports the creation of durable writes. Liquibase, on the other hand, focuses on ensuring data integrity through version control and automated database migrations, minimizing human error and providing a history of changes.
In Summary, Cassandra is a scalable and distributed database system optimized for high availability and low latency, while Liquibase is a database migration tool that focuses on managing and tracking changes to the database schema.
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
i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra
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.
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 Liquibase
- Great database tool18
- Many DBs supported18
- Easy setup12
- Database independent migration scripts8
- Unique open source tool5
- Database version controller5
- Precondition checking2
- Supports NoSQL and Graph DBs2
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Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1
Cons of Liquibase
- Documentation is disorganized5
- No vendor specifics in XML format - needs workarounds5
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