Cassandra surpasses its competitors by delivering exceptional scalability and high availability without compromising performance, thanks to its distributed architecture and ability to handle large volumes of data seamlessly, making it an ideal choice for big data applications.
The current version is an open-source.
The current version is an open-source.
I am using the community edition of LanceDB, which is very cheap.
I am using the community edition of LanceDB, which is very cheap.
Qdrant is a powerful tool designed to efficiently organize and search large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems.
With its fast and accurate results, Qdrant is suitable for various applications including e-commerce, content management, and data analysis.
The intuitive interface and straightforward setup process are also highlighted as key advantages, making Qdrant accessible to users with varying levels of technical expertise.
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
Red Hat Data Grid is an in-memory key-value data store, similar to a NoSQL database, and can be used by applications as their primary data store for rapid access to in-memory data, although data may also be persisted for recovery, backup, and archiving.
