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GigaSpaces Partners with Informatica on Digital Integration Hub

GigaSpaces partnered with Informatica to deliver an Intelligent Digital Integration Hub across cloud, on-premise and hybrid environments.

The solution unifies Informatica's Hybrid Integration Platform including: Integration Hub and Cloud iPaaS, together with GigaSpaces InsightEdge in-memory real-time analytics and machine learning platform within the Digital hub.

Applications across the enterprise can now leverage timely, trusted data and real-time analytic insights for faster, smarter business decisions. Informatica Integration Hub uses a publish/subscribe model and allows self-service consumption of data by any user or application. GigaSpaces InsightEdge, as a transactional and analytical processing speed layer, analyzes any data model (text, objects, documents, images, etc.) and enriches the hub with event-driven machine and deep learning capabilities on both mutable streaming and hot data simultaneously with historical data on data lakes. These insights can instantly be shared with applications and existing systems.

The solution leverages Informatica's Enterprise Data Catalog (EDC), powered by the Informatica CLAIRE engine, to provide machine-learning-based discovery to scan, catalog and detect data assets across the enterprise.

Together, GigaSpaces and Informatica Intelligent Digital Integration Hub is used to:

- Accelerate hybrid data integration and analytics on any data model including structured, unstructured and semi-structured data

- Orchestrate complex transactional and analytical processing with a persistence layer that can be used as a transient or as a sync layer

- Facilitate self-service consumption of data and insights

- Decouple source and target applications, allowing easy consumption by users and reduce load on sources systems

- Enable multi-latency integration with advanced orchestration and scheduling for batch and API's driven data

- Support extreme performance and rich machine and deep learning capabilities; including Spark, numeric computing via Tensor and loading of pretrained Caffe or Torch models, as well as various NLP, OCR, Text Classification, image recognition and other libraries

- Integrate multiple clouds, new enterprise applications, in-memory speed layer and data lakes, with existing systems

- Provide visibility, control, monitoring, and alerting across all data workflows

Benefits for the enterprise include:

- Superb user experience: with low latency response times, especially at critical traffic peaks

- Optimized TCO: allowing the system of record applications to be planned for standard usage and not peaks

- High agility: microservices architecture to rapidly develop and deploy new applications

- 24/7 always on: Market proven, high availability for enterprise grade mission critical applications

- Real-time Insights to Action: Analytics and machine learning run on live mutable data and simultaneously on historical data for time-sensitive decisions and actions

Ronen Schwartz, SVP and GM, Cloud, Big Data, Data Integration, at Informatica. "Our integration with GigaSpaces InsightEdge enables our customers to reduce the cost and complexity of data and APIs while achieving high performance at large scale."

Additional applications which are fueled by the solution include real-time fraud detection, live risk management, predictive maintenance, dynamic pricing, personalized recommendations, supply chain management and more.

"Together Informatica and GigaSpaces, are powering stronger, innovative enterprises as they continue to add new data-driven applications to remain competitive," said Yoav Einav, VP of Products for GigaSpaces. "The Intelligent Digital Integration Hub tames complex hybrid integration environments with extreme performance, agility, availability and the ability to deliver real time actionable insights, helping customers optimize operations, improve regulatory compliance and enhance customer experiences."

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GigaSpaces Partners with Informatica on Digital Integration Hub

GigaSpaces partnered with Informatica to deliver an Intelligent Digital Integration Hub across cloud, on-premise and hybrid environments.

The solution unifies Informatica's Hybrid Integration Platform including: Integration Hub and Cloud iPaaS, together with GigaSpaces InsightEdge in-memory real-time analytics and machine learning platform within the Digital hub.

Applications across the enterprise can now leverage timely, trusted data and real-time analytic insights for faster, smarter business decisions. Informatica Integration Hub uses a publish/subscribe model and allows self-service consumption of data by any user or application. GigaSpaces InsightEdge, as a transactional and analytical processing speed layer, analyzes any data model (text, objects, documents, images, etc.) and enriches the hub with event-driven machine and deep learning capabilities on both mutable streaming and hot data simultaneously with historical data on data lakes. These insights can instantly be shared with applications and existing systems.

The solution leverages Informatica's Enterprise Data Catalog (EDC), powered by the Informatica CLAIRE engine, to provide machine-learning-based discovery to scan, catalog and detect data assets across the enterprise.

Together, GigaSpaces and Informatica Intelligent Digital Integration Hub is used to:

- Accelerate hybrid data integration and analytics on any data model including structured, unstructured and semi-structured data

- Orchestrate complex transactional and analytical processing with a persistence layer that can be used as a transient or as a sync layer

- Facilitate self-service consumption of data and insights

- Decouple source and target applications, allowing easy consumption by users and reduce load on sources systems

- Enable multi-latency integration with advanced orchestration and scheduling for batch and API's driven data

- Support extreme performance and rich machine and deep learning capabilities; including Spark, numeric computing via Tensor and loading of pretrained Caffe or Torch models, as well as various NLP, OCR, Text Classification, image recognition and other libraries

- Integrate multiple clouds, new enterprise applications, in-memory speed layer and data lakes, with existing systems

- Provide visibility, control, monitoring, and alerting across all data workflows

Benefits for the enterprise include:

- Superb user experience: with low latency response times, especially at critical traffic peaks

- Optimized TCO: allowing the system of record applications to be planned for standard usage and not peaks

- High agility: microservices architecture to rapidly develop and deploy new applications

- 24/7 always on: Market proven, high availability for enterprise grade mission critical applications

- Real-time Insights to Action: Analytics and machine learning run on live mutable data and simultaneously on historical data for time-sensitive decisions and actions

Ronen Schwartz, SVP and GM, Cloud, Big Data, Data Integration, at Informatica. "Our integration with GigaSpaces InsightEdge enables our customers to reduce the cost and complexity of data and APIs while achieving high performance at large scale."

Additional applications which are fueled by the solution include real-time fraud detection, live risk management, predictive maintenance, dynamic pricing, personalized recommendations, supply chain management and more.

"Together Informatica and GigaSpaces, are powering stronger, innovative enterprises as they continue to add new data-driven applications to remain competitive," said Yoav Einav, VP of Products for GigaSpaces. "The Intelligent Digital Integration Hub tames complex hybrid integration environments with extreme performance, agility, availability and the ability to deliver real time actionable insights, helping customers optimize operations, improve regulatory compliance and enhance customer experiences."

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...