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Cassandra vs YugabyteDB: What are the differences?
Cassandra and YugabyteDB are both highly scalable distributed databases that are designed to handle large volumes of data and provide high availability. However, there are several key differences between the two platforms.
Data Model: Cassandra uses a wide-column data model, also known as a column-family data model, where data is organized into rows, columns, and column families. In contrast, YugabyteDB uses a document data model, similar to that of MongoDB, where data is stored as JSON documents.
Consistency Model: Cassandra uses a tunable consistency model, allowing users to choose the desired level of consistency for read and write operations. In contrast, YugabyteDB uses a strongly consistent model by default, ensuring strict consistency across all replicas, but with the option to relax consistency for specific use cases.
Query Language: Cassandra uses CQL (Cassandra Query Language), which is similar to SQL but with some differences and additions to support the wide-column data model. On the other hand, YugabyteDB supports both CQL and SQL, giving users the flexibility to choose the language that best suits their needs.
Multi-Cloud Capability: While both Cassandra and YugabyteDB are cloud-native databases, YugabyteDB is built with multi-cloud architecture in mind. It provides built-in support for running across multiple cloud providers simultaneously, allowing for seamless data replication and high availability across different regions and clouds.
Transaction Support: Cassandra has limited support for transactions and does not natively support ACID transactions. On the other hand, YugabyteDB provides full ACID compliance and supports distributed transactions, making it suitable for applications that require strong consistency guarantees.
Compatibility with PostgreSQL: YugabyteDB is designed to be compatible with PostgreSQL, meaning it supports the PostgreSQL wire protocol and can be used as a drop-in replacement for PostgreSQL. This allows users to leverage existing PostgreSQL tools, libraries, and skills when working with YugabyteDB.
In summary, Cassandra and YugabyteDB differ in their data models, consistency models, query languages, multi-cloud capabilities, transaction support, and compatibility with PostgreSQL. These differences give users a range of options to choose from based on their specific requirements and 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 YugabyteDB
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Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1
Cons of YugabyteDB
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