IBM Analytics Engine vs. Redash

We are at present utilizing IBM Analytics Engine and it works incredible. Following are the things that I like the most about this product is:- - Simple to Utilize - Reasonable Cost - With only a couple seconds you can ready to fabricate and convey groups - you can without much of a stretch break down information through different applications

Incentivized

Redash is good in following conditions: Amazing query editor with lots of auto-complete feature for SQLDoes not require hassle and provide an easy interface to connect to various DB Good integration points with various DB's Easy and Simple Dashboarding functionality It lacks in following areas: Dashboarding and Reporting feature is not that extensive [fewer] filters for Periodic filters as well scheduled reports

Incentivized

• 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.

Incentivized

• Detailed Reporting.
• Real-time data.
• Vast array of reporting.

Incentivized

• 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

Incentivized

• At times, the response time for the query takes more than a minute
• Dashboard refreshes used to take time
• Auto indentation was not there

• I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
• Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not

Incentivized

Redash has easy query access compared to Tableau, athena or google cloud services

• It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
• Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
• I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.

Incentivized

• So as far as investment its just the time you need to give and done.
• You can host Redash on your server and just pay as you go.
• There isn't much investment but a lot of things will be solved around reporting and charting.

Incentivized