IBM Cloud Pak for Data
Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.
IBM Cloud Pak for Data Alternatives
The best IBM Cloud Pak for Data alternatives based on verified products, community votes, reviews and other factors.
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Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.
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Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS.
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The social network for data people
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A high-level language and interactive environment for numerical computation, visualization, and programming
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.
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Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
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A number of software providers have moved to Data Mesh connectivity solutions as they seek to lower the operating costs of their applications.
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MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.
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MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.
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Data Fabric
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Unleash data's potential with Informatica infrastructure services that all roll up under a robust and intelligent data integration platform.
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Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.