Review: IBM dashDB

Product Review: IBM – dash DB

Overview

IBM’s dashDB is both a full service cloud based data warehouse and an analytics platform. It specializes in offering tools and insights of data for decision-making teams to leverage directly in dashDB’s UI.  Clients have the benefit of plugging into the warehouse offering and driving insights from the data stored all in one place. With the help of John Park, Lead Product Manager at IBM dashDB Analytics team, this product review illustrates business application, explanation of tech and a case study proving the power of analytics integration within the data warehouse.

By understanding varied personas we expect varied sized enterprise business, we also listened to experts in different fields from the data scientist to database architects to even application developers, to shift our design goals to build a better product.

Proprietary Tech

  • Integrated Netezza Analytics – strong analytics platform utilizing predictive and deterministic models for thoughtful insights
Review: IBM dashDB - YourDailyTech
Integrated Netezza Analytics
  • Massively Parallel Processing (MMP) hardware and network architecture that enables rapid processing
Review: IBM dashDB - YourDailyTech
dashDB MPP Architecture
  •  BLU – in-memory, column stored process engine enabling optimum performance of system 
Review: IBM dashDB - YourDailyTech
BLU

The Competition

Redshift’s offering with Amazon is the main competitor from a data perspective. It’s a scalable parallel processing database, doing well to stand on its own in the space. Built for data warehousing, Amazon does not fully compete with this dashDB as Amazon is not yet layering on the analytics piece dashDB is offering today. However, Redshift is very plug-in and go, making it a competitor for the warehouse offering dashDB is providing. Currently, there does not appear to be a public roadmap to integrate analytics for Amazon’s offering just yet.

From an analytics perspective, there’s quite a number of products out there who offer thoughtful and actionable insights when you layer them into your setup. However, locating a product as costly integrated with the data warehouse such as IBM’s offering is difficult to find. Oracle looks to be gaining traction in this realm of tech, especially with their recent purchase of BlueKai, however they’re not there today. In the next few years, it shouldn’t surprise the industry to see Oracle finding this integration a good solution for clients when their absorption of Bluekai is complete and ready for new challenges.

Unlimited Scope

Big and small companies each have varied use case situations by being end-user focused instead of technology focused first. Historically, in the database space, the design of this tech are very concentrated on enterprise focused problems. However, dashDB is designed to address scope from a different layer. “The scope at which we designed this product was a high level scope, but targeted to different end-user experiences depending on background” – John Park

By understanding varied personas we expect varied sized enterprise business, we also listened to experts in different fields from the data scientist to database architects to even application developers, to shift our design goals to build a better product.

Billing

Client billing structure will depend greatly on your amount of data and connections managed (such as APIs). Contact your dashDB representative for a consultation and initial meeting. A good place to start this conversation is with John J Park, Lead Product Manager for dashDB with IBM Analytics, 514-964-1205 or at jjpark[at]ca.ibm.com

Case Study

The creative minds at IBM leveraged a direct partnership with Twitter to provide the business to create the American Sniper case study. Through leveraging Twitter data, IBM was able to exploit dashDB’s connected APIs to integrate and layer client and first party together.  “We were able to integrate our studio into this data through dashDB in the same UI. These learners were able to accomplish for this type of one-stop-shopping of analysis data was there is a demand from the market and from our clients where they wanted to move out of the business of just storing data. They could then put this data back out into the world to consume, they want to be able to curate the applications. The gains against any data, being able to run analytics against it within the management platform. How you store the data, how you optimize it, where you contain it, leaves the customer to just worry about consuming and sharing resulting information where you need it.” – John Park

Typical providers of data warehouses only provide the service of storing data. DashDB does well to integrate what would be an additional service to be able to understand and make what is big data, smart data.


Additional Resources: 

IBM dashDB Cloud-based data warehousing as-a-service, built for analytics White Paper

IBM dashDB Enterprise MPP Service White Paper