WatsonX.data by IBM

Watsonx.data, developed by IBM, is a fit-for-purpose data store designed to scale AI workloads. Built on an open lakehouse architecture, it supports all your data, anywhere. It provides an open, hybrid, and governed data store to connect and share data quickly and affordably.

Features

• Optimize workloads: Optimize your data warehouse workload across different query engines and storage tiers, cutting costs by up to 50%.
• Fit-for-purpose Query Engines: Avail fast, reliable and efficient processing of big data at scale using multiple engines such as Presto and Spark.
• Built-in Governance, Security, and Automation: Guarantees enterprise compliance and security with built-in unified governance or connection to existing solutions.
• Cost-effective, Simple, Object Storage: Store and share large volumes of data affordably and efficiently in open table formats optimized for high-performance analytics.

Use Cases:

• AI and Machine Learning: Build, train, deploy, and monitor trusted AI models for mission-critical workloads ensuring compliance with lineage and reproducibility of data.
• Real-time analytics and business intelligence: Quickly connect existing data with new data, unlocking new insights without the complexities of duplicating and moving data.
• Streamlined data engineering: Simplify data transformation, enhance data for consumption using SQL, Python or an AI-infused conversational interface.
• Responsible data sharing: Support self-service access to more data while ensuring security and compliance with centralized governance and local automated policy enforcement.

Through its innovative open lakehouse architecture and built-in data management features, Watsonx.data promotes the seamless processing, storage, and sharing of big data. It also aids in scaling AI workloads, optimizing data workloads and enhancing trust in data governance and security. Watsonx.data is your reliable solution for all data-related tasks.