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Volt Active Data Introduces Stateless Stream Processing with OLTP

Volt Active Data Introduces Stateless Stream Processing with OLTP

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New product extends Volt’s leadership position as the real-time data processing platform for limitless scalability, simplified data architecture, and extremely fast decisions.

Volt Active Data, the real-time data processing platform designed for mission-critical applications, today announced Volt Active(SP), a new capability for ingesting and processing high volumes of streaming data, at scale, in real time, without compromising on consistency or transactionality. This new functionality allows Volt to support the processing of petabytes of data over multiple real-time streams and data stores, quickly and easily.

Also Read: Cloud and AI: Data management and data protection are primary pain points for CIOs and CISOs

“This finally brings to the market the answer to what companies have been struggling to do for so long: manage high volumes of streaming data at scale using OLTP-based solutions,” said Volt CEO David Flower. “It essentially means you get the best of both worlds: stateful and stateless transactional stream processing, independently scalable, and with a significantly lower TCO.”

By combining stateless stream processing with stateful transactional processing, Active(SP) offers a solution to enterprises needing to make fast, contextually intelligent decisions on data from multiple sources. Designed to complement common streaming solutions, this solution will be particularly compelling to companies with systems challenged by complexity or low-latency expectations.

Active(SP) is both cloud native and cloud agnostic, meaning you can deploy it both on-prem or in the cloud (public or private) to reduce the high ingress/egress costs associated with processing large volumes of streaming data in hosted clouds.

To experience the transformative power of Active(SP) firsthand, start your f********* today. Discover how Active(SP) can simplify your data stack and unlock the full power of your streaming data.

Also Read: Implementing a Digital Adoption Platform in Your Organization? This can help!

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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