IBM's watsonx.data is a platform that enables next-generation lakehouse architecture for data-driven enterprises, helping to lower storage costs, optimize compute, and support data engineering and analytics needs across discrete systems
FEATURES
💾 Scalable Data Store: IBM Watsonx.data is a fit-for-purpose data store that enables enterprises to scale analytics and AI. It is built on an open lakehouse architecture and supports querying, governance, and open data formats to access and share data.
🔌 Quick Data Connectivity: With Watsonx.data, you can connect to data in minutes, making it easy to get trusted insights and reduce your data warehouse costs. It is available as a service on IBM Cloud and AWS and as containerized software.
🌐 Multi-Cloud Support: Watsonx.data allows you to access all data through a single point of entry with a shared metadata layer across clouds and on-premises environments. It enables you to connect to storage and analytics environments in minutes and enhance trust in data with built-in governance, security, and automation.
🤖 AI Workflows: Watsonx.data accelerates responsible, transparent, and explainable AI workflows for both generative AI and machine learning models. It optimizes costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload.
💰 Cost Optimization: Watsonx.data helps reduce data warehouse costs by optimizing workloads across multiple query engines and storage tiers. It pairs the right workload to the right storage tier, reducing the need for expensive storage.
USE CASES
💡 IBM WatsonX: A fit-for-purpose data store built on an open lakehouse architecture, supported by querying, governance, and open data formats to access and share data
watsonx.data helps enterprises lower storage costs and optimize compute by providing a more efficient and scalable solution for managing data and AI workloads. It can accelerate data modernization strategies in the cloud by combining the performance and governance of IBM watsonx.data with the scale, agility, and cost efficiency of cloud infrastructure, such as AWS.
IBM watsonx.data can be used in various industries and use cases, such as accelerating data modernization strategies in the cloud, managing legal, regulatory, and ethics concerns, and providing concise natural language answers based on correlated and summarized information from various documents. It can also be used to ease organizational and contractual concerns and accelerate AI workflows.