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Powering real-time, mission-critical systems with always-on, active everywhere data management architecture, built on Apache Cassandra

DataStax Active Everywhere Database for Government

Built on Apache Cassandra, a masterless architecture supports the speed and scale of today’s mission demands—with contextual, always-on, real-time, distributed applications.

Why DataStax for the Federal Government?

DataStax supports security, compliance, and informed visibility in federal missions. Contextual analysis in real time helps agencies detect fraud, while a transactional data layer lets them unify and manage data across hybrid environments.



Defense and Intel

DataStax powers mission-critical, warfighter-enabling applications that require real-time, contextual data across geo-distributed operational environments like Command/Control and ISR, Cyber, Mission-forward systems, Electronic warfare applications and Readiness platforms.

Federal Civilian

DataStax helps agencies deliver contextually relevant user experiences that optimize citizen engagement like Citizen engagement systems, Sensor-based systems, IoT platforms, Large-scale distributed systems and Border security.

Federal Systems Integrators

We offer a range of services to help FSIs accelerate their customers’ adoption of the DataStax platform. The DataStax Services team works closely with FSIs to provide deep product expertise and best practice guidance at every step. We operate in flexible engagements to support customers’ exact needs.

Leaders Implementing DataStax Enterprise

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Related Resources

Read how DataStax empowers agencies to modernize their systems and enable their missions.



Modernizing Mission-Critical Apps for Public Sector

Discover how applications aimed at the federal government can benefit from data layer transformation.


Real-Time Data and Public Sector Modernization

Learn the difference between big data and real-time data, and why agencies need both to truly transform.


Mission Modernization with Active Everywhere Architectures

Learn how an always-on, distributed database supports continuous availability and higher performance at scale.

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