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IBM Db2 Warehouse

Name: IBM Db2 Warehouse
Rating: 4.5 (2 reviews)

By IBM

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Highlights : About IBM Db2 Warehouse

Save time and resources in meeting SLAs

Deploy a pre-configured data warehouse in minutes on Docker container supported infrastructure of choice, with elastic scaling and ease of updates/upgrades to continually meet service levels.

Gain insights with in-database analytics

Gain insight when applying in-database analytics where the data resides. IBM PureData for Analytics, Spark and Open Source R provide predictive modeling algorithms built directly into the database.

Lightning fast query processing

Use Spark and IBM BLU Acceleration in-memory SQL columnar processing with a MPP cluster architecture to speed up complex queries and predictive model building, testing, and deployment.

Auto schema generation and data loading

With just a few clicks, unstructured data sources are automatically transformed into a structured format for analysis – Twitter data, Open Data, geospatial data, and more.

Easily move workloads to meet SLAs

A common SQL analytics engine across public and private cloud, compatible with on-premises data warehouses, enables workloads to be moved to the right location with ease.

About IBM Db2 Warehouse

IBM Db2 Warehouse is a software-defined data warehouse for private and virtual clouds that support Docker container technology. It is client managed and optimized for fast and flexible deployment with automated scaling to meet agile analytic workloads. Fusing IBM Db2 BLU and Netezza technologies, Db2 Warehouse offers cloud elasticity combined with the simplicity of a software appliance. It is supported on variety of platforms such as Intel x86, Power and Linux on z. Db2 Warehouse can also be deployed on IBM Cloud Private platform, IBM Bluemix, or any virtual private cloud such as AWS, Microsoft Azure and more.

Specifications

Business Size

Enterprise

Deployments

Premise

Language Support

English

Platforms

Product Details

Benefits

Save time and resources to meet your SLAs

Deploy a pre-configured data warehouse in minutes on your Docker container-supported infrastructure of choice. Get elastic scaling and ease of updates and upgrades.

Gain fresh insight with in-database analytics

Apply in-database analytics where the data resides. Spark and R open source provide predictive modeling algorithms built directly into the database, allowing enterprise AI faster and more efficiently.

Lightning-fast query processing

Use Spark and BLU Acceleration in-memory SQL columnar processing with an MPP cluster architecture to speed up complex queries and predictive model building, testing and deployment for data scientists.

Automatic schema generation and data loading

With just a few clicks, you can automatically transform unstructured data sources into a structured format for analysis – for Twitter data, Open Data, geospatial data and more.

More easily move workloads to meet SLAs

Move workloads to the right location easily. With IBM Db2® Warehouse, you get a common SQL analytics engine across public and private clouds – one that’s compatible with on-premises data warehouses.

Unique in-memory data processing

IBM Db2 Warehouse uses BLU Acceleration, IBM’s in-memory columnar processing technology. Entire data sets and decompression are not needed in-memory. Expect pre-fetching of data and data skipping.

Load geospatial data into IBM Db2 Warehouse

IBM analytics are built directly into IBM Db2 Warehouse, with multiple algorithms. This provides linear regression, decision tree clustering and more.

Embedded Apache Spark engine

IBM Db2 Warehouse combined with Spark delivers higher performance than stand-alone Spark, providing a better data science experience for data exploration.

Integrated R development and deployment

IBM Db2 Warehouse includes integrated RStudio for development and R in-database functions, operating directly on data in a database. Load data and perform analytics within minutes.

Make data migration easier

IBM Db2 Warehouse works with supported Db2 drivers, and is compatible with Db2, PDA and Oracle. Deploy as a stand-alone cloud data warehouse, or integrate with your on-premises data warehouse.

Integrated Spark analytics

Minimize the latency of access to data and speed up calculations. With IBM Db2 Warehouse, each node contains its own data and is overlaid with a local Apache Spark executor process.

Delivered for SDEs that support Docker container technology

Deploy on any Docker-supporting operating system of choice: x86, Windows, Mac or IBM Power hardware. IBM Db2 Warehouse can auto-provision resources to handle changing workload needs.

Features

Unique in-memory data processing

IBM Db2 Warehouse uses BLU Acceleration, IBM’s in-memory columnar processing technology. Entire data sets and decompression are not needed in-memory and the offering performs pre-fetching of data and data skipping.

Load geospatial data into Db2 Warehouse (formerly dashDB)

IBM Netezza Analytics are built directly into IBM Db2 Warehouse, with multiple algorithms, including linear regression, decision tree clustering, k-means clustering and ESRI-compatible geospatial extensions.

Embedded Apache Spark Engine

IBM Db2 Warehouse combined with Spark offers higher performance than standalone Spark, providing a better data science experience for data exploration and to train and evaluate predictive models interactively.

Integrated R development and deployment

IBM Db2 Warehouse includes integrated RStudio for development and R in-database functions, operating directly on data in a database. A web console can be used to load data and perform analytics within minutes.

Data migration made easier

IBM makes cloud database migration easy, as IBM Db2 Warehouse works with supported Db2 drivers, and is compatible with Db2, PDA, and Oracle. Deploy IBM Db2 Warehouse as a standalone cloud data warehouse or integrate with on-premises data warehouse for a hybrid solution. For example, Db2 Warehouse can federate queries to on-premises data warehouses using built in Fluid Query, removing the need for ETL processes.

Integrated Spark analytics

With IBM Db2 Warehouse, each node contains its own data and is overlaid with a local Apache Spark executor process, minimizing the latency of accessing the data and speeding up calculations 3 to 5 times faster than in a standalone Spark cluster. A Jupyter notebook container is included with the container to execute interactive code entered in the notebook, with one-click-deployment in which the code is transformed into a compiled and deployed Spark application inside Db2 Warehouse.

Delivered for SDE that support Docker container technology

IBM Db2 Warehouse can be deployed on any Docker supporting operating system of choice- X86, Windows, Mac or Power HW. By taking advantage of SDE, Db2 Warehouse can auto-provision resources to handle changing workload needs. SDE makes deployment and management more efficient, with elastic scaling and ease of updates and upgrades. For example, Db2 Warehouse can provision a full data warehouse stack, including Spark, in minutes.

Hybrid Flex

IBM Hybrid Data Management Platform allows you to leverage all available data, no matter the type, source or structure. Simply purchase IBM FlexPoints and allocate towards multiple resources with a single, subscription-based license.

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