Simplify your data stack. Improve performance. Lower your TCO.
Supercharge your mission-critical applications with Volt Active Data, the only real-time data platform proven to reliably deliver low latency, consistency, and availability at scale.
Capitalize on real-time data
Volt’s enterprise-grade platform helps businesses around the world process billions of transactions per day, enabling them to act on data the moment it’s generated, to increase revenue, mitigate risk, and cut operational costs. From real-time visual intelligence to fraud protection, the Volt Active Data Platform helps companies tackle their most mission-critical real-time data challenges.
Simplify your architecture
Accelerate everything — including business results — by eliminating the complexity that comes with managing multiple aggregation, processing, and storage layers.
“We conducted a global search and selected Volt Active Data because we believe it’s the world’s fastest and smartest data platform.”
Navigating the Now: Unveiling Real-Time Data Insights
Explore the dynamic landscape of real-time data, providing instant insights crucial for agile decision-making in today’s fast-paced world.
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Understanding Volt Active Stream Processing
Processing data streams in real time has become essential for modern businesses. The rapid increase in data generation and the demand for immediate decision-making have rendered traditional batch processing inadequate. Simply collecting and analyzing data…
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Guide to Cost-Efficient Edge Data Replication
Introduction: The Role of Data Replication in Edge Computing Edge computing has revolutionized industries that require real-time data processing, such as manufacturing, healthcare, IoT, and autonomous systems. One of the key enablers of edge computing…
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Why ACID Requirements Cause So Many Issues: Lessons From a Company That Switched From Redis to Volt
We’ve never been super big on flagrantly tooting our own horn, but we recently had a customer who switched from Redis to Volt, and given the frequency with which things like this have happened over…