gigaspaces

GigaSpaces Enables InsightEdge on Google Cloud for Data-Driven Enterprises

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Enabling scale with low management overhead

GigaSpaces, the enabler of InsightEdge, the platform is the fastest in the class of in-memory real-time analytics processing. The company revealed that it is making its in-memory computing platform available on Google Cloud Platform as a managed service. The clients can use InsightEdge to effortlessly make new applications ingest process and analyze streaming, hot and cold archival data at a very high speed. It will enable them to scale with low management overhead.

InsightEdge makes it possible for users to use services and applications to make query data from different sources in real-time. It connects structured, semi-structured and unstructured data to evolve a comprehensive approach towards business. The important feature of InsightEdge on GigaSpaces is one-click connectivity to different databases, interactive SQL queries, quick access to data lakes, connects to business intelligence applications, data virtualization, multi-region replication, and many more advanced features.

Simplifying deployment and management

Yoav Einav, VP Product at GigaSpaces said, “We are excited to join forces with Google Cloud to provide easy and fully automated InsightEdge service. Simplifying deployment and management while ensuring a no-downtime service will help our customers leverage their data, running analytics and ML models at the speed and scale required for real-time decision making.”

Boaz Maoz, Google Country Director of Cloud Israel said, “Business around the world are looking to the cloud transform, scale and improve their operations and we are committed to helping them reach those goals. GigaSpaces Cloud on Google Cloud will help our mutual customers to drive their own digital transformation initiatives, improve business performance through better data analytics, while also allowing them to maintain a high level of customer experience and adapt to changing regulatory environments.”

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