Built on the SQL engine of IBM, Db2 Warehouse queries data from multiple sources for advanced in-memory processing at a massive scale.
Vendor
IBM
Company Website
Cloud data warehousing built to power your operational analytics, BI and AI-driven insights
IBM Db2® Warehouse meets your price and performance objectives for always-on workloads, providing simple, governed access to all your data and eliminating your data silos across the hybrid cloud.
Data engineers, developers and data scientists can store, share and analyze governed data across various sources, hybrid-cloud environments and open formats. It natively integrates with other relational databases such as Db2, data lakes, and IBM watsonx.data™ lakehouse to simplify your ecosystem, for analytics and AI. Built for the cloud, it runs natively on cloud object storage, 3 percent of the cost of block storage, and runs 4 times faster with advanced caching techniques.
Features
Data engineers, enterprise architects and developers can use a single, cloud-native engine for the next generation of analytics workloads and share data for AI.
- **AI-powered workload management: **With Db2 Warehouse, you can take control of your analytics costs with elastic scale and a cloud-native architecture based on separation of storage and compute and cost-effective object storage. With AI powered workload management, you can automatically distribute resources based on your price-performance needs.
- **Unify and share data for AI with open formats: **Support for open formats, including Apache Iceberg, Parquet, ORC and CSV, allow secure data sharing across the enterprise. Share data in Iceberg with IBM watsonx.data lakehouse and use multiple query engines, such as Presto and Apache Spark to augment your workloads for price and performance.
- **Power dashboards and insights with high performance: **Build real-time dashboards and reports with a combination of in-memory and column-store data retrieval, maximized CPU processing and data skipping that allows for faster input and output for your mixed analytical and operational workloads in the cloud
- **Continuous availability and disaster recovery: **Manage downtime with continuous availability (99.9%) and in-place recovery within a cluster. The cloud-native architecture of Db2 features multiple layers of resiliency with managed computation, highly available storage and cross-cloud replication.
- **Data-driven security: **Built to manage HIPAA and GDPR compliance, Db2 provides end-to-end security that protects data in motion and at rest, monitors and detects unknown behaviors and ensures the privacy of your data. Natively integrate with IBM Knowledge Catalog for central data governance and policy enforcement.
- **Execute machine learning (ML) models: **From decision trees to K-means clustering, choose from various in-database algorithms or seamlessly build and deploy open-source Python and R models on the database. Ingest, store and query different data types for ML including XML, JSON, text, Graph and spatial data in a single database.
Benefits
- **Achieve 4x faster performance and cut analytics costs by 34x: **Our advanced caching technology, coupled with data in cloud object storage, improves performance by up to 4x and reduces storage costs by 34x compared to the prior generation.
- **Share data responsibly: **Share trusted data with built-in governance and support for open data and table formats such as Iceberg, Parquet, ORC and CSV.
- **Integrate all data for analytics and AI: **Db2 Warehouse natively integrates with IBM Db2 database, data lakes and watsonx.data lakehouse for a singular view of your data, analytics and AI estate without ETL or data duplication.