Best Vector Databases for Apache Cassandra
View:
Compare the Top Vector Databases that integrate with Apache Cassandra as of June 2025
Sort By:
This a list of Vector Databases that integrate with Apache Cassandra. Use the filters on the left to add additional filters for products that have integrations with Apache Cassandra. View the products that work with Apache Cassandra in the table below.
What are Vector Databases for Apache Cassandra?
Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects. Compare and read user reviews of the best Vector Databases for Apache Cassandra currently available using the table below. This list is updated regularly.
-
1
Astra DB
DataStax
Astra DB from DataStax is vector database for developers that need to get accurate Generative AI applications into production, quickly and efficiently. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management and SAML SSO secure account accessibility. You can deploy on AWS, GCP, or Azure while still maintaining open-source Cassandra compatibility.
- Previous
- You're on page 1
- Next