Cassandra was initially developed internally at Facebook to handle large data sets across multiple servers,[6] and was released as an Apache open source project in 2008.

[22] With the acquisition, former Kaskada CEO Davor Bonaci was named DataStax chief technology officer and executive vice president.

[24] On July 18, 2023, the company announced a partnership with Google to make semantic search available in its Astra DB cloud database for developers building generative AI applications.

[20] On September 13, 2023, DataStax launched the LangStream open source project, which works with Astra DB and supports vector databases including Milvus and Pinecone.

LangStream enables developers to better work with streaming data sources, using Apache Kafka technology and generative AI to help build event-driven architectures.

[25] In November 2023, DataStax announced RAGStack, a simplified commercial offering for RAG (retrieval-augmented generation) based on LangChain and Astra DB vector search.

[30] Astra DB supports open source LangChain technology, making it easier for developers to create generative AI applications.

[20] Version 1.0 of the DataStax Enterprise (DSE), released in October 2011, was the first commercial distribution of the Cassandra database, designed to provide real-time application performance and heavy analytics on the same physical infrastructure.

[36][37] In December 2018, DataStax released DSE 6.7, which offers enterprise customers five key new feature upgrades, including: improved analytics, geospatial search, improved data protection in the cloud, enhanced performance insights and new developer integration tools with Apache Kafka Connector and certified production Docker images.

[38] In April 2020, DataStax released DSE 6.8, offering enterprises new capabilities for bare-metal performance and to support more workloads, and serving as a Kubernetes operator for Cassandra.