IBM Analytics Engine

Jobs with Spark, Hadoop, or Hive queries are rapidly attained

Can collect, organize and analyze your data accurately

You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.

I find most of the functions user friendly and most importantly best fits in multi business setup and users easily adapt to the system. Also, you get a lot done in a very short period of time.

Simple to Utilize

Analyzes data with accuracy

Collects data rapidly

Manages data very well with no errors

In the time of huge information investigation, it's insufficient to simply endure – organizations need to rival and separate themselves from the rest. The individuals who can saddle information will be the best and improve their return for money invested from huge information examination. It's critical to look past the stages and rather center around the right-time admittance to information. At the point when utilized effectively, groups from lines of business to the C-suite will flourish by utilizing experiences inferred to better their center activities.

Easy-to-use User interface with featured pack functionalities.

Scalable & customizable according to user needs.

Powerful yet simple cluster administration.

Affordable Pricing.

Could improve upon step-by-step instructions & make it more comprehensive.

Can be more prompt with their customer service.

Could come up with an e learning module for using the tool.

Saved considerable amount of time dealing with clustering & its administration.

Seamless & faster processing time helped us increasing ROI in return.

Decreases the need of relying on multiple tools for data analytics.

Ease of use / user interface

Reasonable pricing

Ability to build and deploy clusters very quickly... within minutes

I would like to see a more robust version of their online help

The speed of their business support is adequate, but I kind of expect more from such a powerhouse.

Problems with duration of cluster life

The cost to implement was definitely a plus when it came to choosing the IBM Analytics Engine.

While sufficient, the overall support received from IBM was less than that for which we had planned.

We were able to separate storage and computing while paving the way for easier cluster administration.

We are able to build and deploy clusters within minutes to simplify user experience and increase scalability and reliability.

We are able to scale and compute on-demand to handle newer workloads like machine learning.

We really like that we are able to access and administer the application via multiple interfaces.

Some of the documentation can be overwhelming and very technical. We would love to have some documentation written for non-technical people.

We would like to see better communication from IBM regarding upgrades and patching cycles of the product.

The learning curve for this product is steep. This is definitely not a product that will be used right out of the box.

This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.

IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.

The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.

easy use of interface

clear instructions of where everything is

the two week use of nodes

some feature updates without clear instructions

better online help

it saved a lot of money on hiring more labor

it saved a lot of time on analyzing all the data