DataStax is the company that powers generative AI applications with real-time, relevant data. DataStax offers a comprehensive portfolio including the massively scalable Astra DB (Database-as-a-Service built on Apache Cassandra™), Astra Streaming (streaming-as-a-service powered by Apache Pulsar™), and DataStax Enterprise (an on-premises, enterprise-ready version of Cassandra). It enables enterprises to harness the power of real-time data to build and deploy intelligent, high-growth applications quickly and cost-effectively, on any cloud or on-premises. Hundreds of the world's leading enterprises, including The Home Depot, T-Mobile, and Intuit, rely on DataStax to deliver transformational customer experiences.
Serves as the central hub for executive leadership, corporate strategy, product development, engineering, marketing, and global operations.
Modern office space designed to foster collaboration and innovation, located in the heart of Silicon Valley, offering employees access to state-of-the-art facilities and a dynamic tech environment.
A fast-paced, innovative, and collaborative environment focused on empowering employees to solve complex data challenges. Emphasis on open communication, continuous learning, and a customer-centric approach.
Strategically located in Silicon Valley, providing access to a rich talent pool, a vibrant tech ecosystem, and proximity to key partners and customers. Reinforces DataStax's position as a leading innovator in data management and AI.
DataStax supports its global customer base through a distributed network of offices and remote teams, providing sales, engineering, customer success, and technical support across North America, Europe, and Asia-Pacific. This global footprint enables DataStax to serve enterprises worldwide in their adoption of real-time AI and data management solutions on Apache Cassandra.
3975 Freedom Circle, Suite 1100
Santa Clara
CA
USA
Address: WeWork, 70 Wilson Street, London, EC2A 2DB, UK
To drive business growth, foster customer relationships, and provide localized support and expertise to enterprises across the diverse EMEA market, adapting DataStax solutions to regional needs.
Address: 816 Congress Ave, Suite 1600, Austin, TX 78701, USA
To enhance product innovation with a strong engineering presence and expand market reach in a key US tech corridor, catering to diverse industries adopting real-time data solutions.
Address: Level 8 Pacific Century Place, Marunouchi, 1-11-1 Marunouchi Chiyoda-ku, Tokyo 100-6208, Japan
To expand DataStax's footprint in the technologically advanced Japanese market and provide tailored solutions and support to enterprises in the Asia-Pacific region.
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As of April 2025, DataStax' leadership includes:
DataStax has been backed by several prominent investors over the years, including:
DataStax has strengthened its executive team over the past year with key appointments in finance, technology, and people operations, positioning the company for continued growth in the real-time AI and data market. No major executive exits have been publicly announced during this period.
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DataStax primarily utilizes the [first].[last]@datastax.com email format for its employees. Understanding this common corporate email structure can be helpful for professional communication.
[first].[last]@datastax.com
Format
jane.doe@datastax.com
Example
95%
Success rate
DataStax Newsroom • April 23, 2024
DataStax announced a collaboration with Intel to optimize its vector search capabilities, enhancing performance for generative AI applications by leveraging Intel's 4th Gen Xeon Scalable processors and AI software suite....more
DataStax Newsroom • March 19, 2024
DataStax announced the appointment of Jeff Kephart as its new Chief Technology Officer (CTO) to lead the company's technology strategy and innovation efforts, particularly in AI and real-time data....more
DataStax Newsroom • March 12, 2024
DataStax announced the general availability of Langflow for GenAI, an open-source framework, and new Python-native tooling for Astra DB, aiming to simplify and accelerate the development of generative AI applications for Python developers....more
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