Infra Cost Savings - ScyllaDB vs DynamoDB
Apr 20, 2023
Since the high interest rates marco economy hits the companies’ ability to drive more revenue because of less deals and worse retention, the cost saving part becomes more and more important in 2023. Looking for some cheaper alternatives to replace existing solutions is one of the methods to do it.
The article highlights the performance of ScyllaDB and Amazon DynamoDB, both of which are NoSQL databases that are widely used. The performance tests were conducted on both databases to determine which one offers better throughput and latency, as well as which one is more cost-effective.
The benchmark tests were conducted using a standard AWS configuration for DynamoDB and a similar configuration for ScyllaDB on EC2 instances. The tests revealed that ScyllaDB offers a 5x higher throughput than DynamoDB with lower latency. ScyllaDB was also able to handle higher levels of concurrent requests without any reduction in performance.
The tests also revealed that ScyllaDB is significantly cheaper than DynamoDB, with cost savings of up to 10x for the same workload. This makes ScyllaDB an attractive option for organizations that need a high-performance, scalable, and cost-effective NoSQL database.
ScyllaDB is a popular NoSQL database that is designed to handle large volumes of data with low latency and high throughput. It is built on Apache Cassandra, a distributed database that is designed to handle large amounts of data across multiple nodes. ScyllaDB is fully compatible with the Apache Cassandra API, which makes it easy for organizations to migrate from Apache Cassandra to ScyllaDB.
Amazon DynamoDB is a NoSQL database that is part of Amazon Web Services (AWS). It is designed to be highly scalable and reliable, and it offers a fully managed database service. DynamoDB is built on top of SSD storage, which provides low-latency access to data.
The benchmark tests conducted in the article reveal that ScyllaDB outperforms DynamoDB in terms of both throughput and latency. ScyllaDB is able to handle a higher number of requests per second with lower latency compared to DynamoDB. This means that applications that use ScyllaDB will be able to process data faster and more efficiently.
The tests also reveal that ScyllaDB is more cost-effective than DynamoDB. This is because ScyllaDB uses a shared-nothing architecture that allows it to scale horizontally across multiple nodes. This means that organizations can add more nodes to ScyllaDB as their data grows, which results in lower costs compared to DynamoDB.
ScyllaDB also offers a number of features that make it an attractive option for organizations that need a high-performance NoSQL database. These features include automatic sharding, automatic replication, and automatic rebalancing. ScyllaDB also offers support for ACID transactions, which makes it ideal for applications that require strong consistency.
The benchmark tests conducted in the article reveal that ScyllaDB outperforms DynamoDB in terms of both throughput and latency, while also being more cost-effective. This makes ScyllaDB an attractive option for organizations that need a high-performance, scalable, and cost-effective NoSQL database.