dashDB is a data warehousing and analytics solution. Use dashDB to store relational data, including special types such as geospatial data. Then analyze that data with SQL or advanced built-in analytics like predictive analytics and data mining, analytics with R, and geospatial analytics. You can leverage the in-memory database technology to use both columnar and row-based tables. dashDB enables you to get faster insights from your data by leveraging a cloud data warehouse with in-database analytics and massively parallel processing.
Manages setup, configuration and operations, so you get up and running quickly without wasting time
Designed for performance and scale, utilizing technologies including IBM's BLU Acceleration and embedded Netezza in-database analytics
Run both standard and custom predictive models directly in the cloud. Open source R and RStudio are included as well
dashDB™ is a data warehousing and analytics solution. Use dashDB to store relational data, including special types such as geospatial data. Then analyze that data with SQL or advanced built-in analytics such as predictive analytics and data mining, analytics with R and geospatial analytics.
R is an open source programming language that was developed for advanced data analysis and visualization. It can be used to analyze data from many data sources, including external files or databases.
dashDB integrates R for predictive modeling through an R runtime alongside the data. A web console can be used to load data and perform analytics within minutes. With dashDB and open source R, your analytical options are limitless.
IBM dashDB includes RStudio, a fully integrated R development environment designed to provide quick, R-based predictive analytics.
RStudio provides an R language code completion feature, integrated help for R packages, file management capabilities and much more.
More than 90 percent of clients plan to augment their existing data warehouses. dashDB is well structured for this use. Through dashDB, organizations can extend on-premises data warehouse environments to the cloud. Since you only pay for the capacity you need, the platform is elastic and there when you want it. With dashDB, you're not forced into buying utility before it's required.
"With IBM dashDB and Cloudant, we can leverage a modern and complete cloud-based data analytics portfolio, which allows us to accelerate our delivery of products and services for analytically savvy media companies."
"IBM dashDB has very fast and robust analytics capabilities, which allows us to not only stage data for our clients, but also provides us with the ability to look deep into that data and form competitive insights."
Joe Mackie, Director of Business Development, BPM Northwest
Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud
This IT Managers Journal looks at new cloud-based data warehousing and analytics solutions, and how they offer enterprises of all types and sizes access to advanced analytics tools to quickly turn raw information into a real business advantage.
A preview of data warehousing and analytics technology for use in private clouds, virtual private clouds and other container-supported infrastructures. It is ideal when you must maintain control over data and applications, yet want simplicity in data warehousing.
Give your application uninterrupted data access, offline and online, anywhere in the world, with a fully managed NoSQL database service. Let IBM manage the database layer so you can build more, grow more and sleep more.