Open source data technologies are foundational to modern, real-time applications – including those powered by AI. That’s why we’re excited to announce that we’ve joined the OpenSearch Software Foundation, where we’ll be working alongside like-minded organizations to drive open innovation in data search and analytics.
The OpenSearch Software Foundation, which was launched by the Linux Foundation last year, is a community-driven initiative to support OpenSearch and its search software, an open-source, enterprise-grade search and observability suite that brings order to unstructured data at scale. The foundation’s stated aim to provide resources to enable the long-term sustainability of the open source project and ecosystem aligns closely with DataStax’s history of open source database software support.
DataStax and OpenSearch: A powerful combination
DataStax has been working with OpenSearch for some time. Last year, we announced an OpenSearch integration with JVector, an open source, embedded vector search engine developed by DataStax co-founder Jonathan Ellis.
The combination provides developers with extremely flexible information retrieval, using applications that many enterprises are already familiar with. It bridges the gap between single-document Q&A and open-domain Q&A, providing the ability to reason across diverse documents and texts by combining OpenSearch’s keyword search with the dense vector search of JVector, which is the same indexing library used in Astra DB, DataStax Hyper-Converged Database (HCD), and Apache Cassandra®.
The future of enterprise search
At DataStax, we consider OpenSearch the future of enterprise search, particularly as we continue to expand our self-managed search offerings. More broadly, we're excited to see where our integrations with OpenSearch lead, and we’re gratified to support OpenSearch users in getting the most out of their enterprise data estates.
