IBM Analytics Engine vs. Plotly Chart Studio

• Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
• But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.

Incentivized

[Plotly Chart Studio is] a great tool to make visualizations on a web based portal. For python developers, it can ease of some burden of writing code again and again for the same thing and also refreshing visualizations on old scripts when data changes. All in all, a simple yet effective tool for your report generation and visualization needs[.]

Incentivized

• 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.

Incentivized

• Connects to almost every kind of data source like SQL, Excel, MS Access, flat files and more.
• Charts get saved to the repository and are re-used by multiple users.
• No need of manual intervention in order to refresh the charts every time the data gets changed.

Incentivized

• Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
• Bundling of the Cloud Object Storage should be included with the Analytics Engine.
• The inability to add your own Hadoop stack components has made some transfers a little more complex.

Incentivized

• Lack of customer support
• Sometimes fails to visualize extremely large datasets ( probably also due to computer resource constraints)

Incentivized

We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.

Incentivized

Incentivized

• 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.

Incentivized

• Improvement in productivity as charts can be shared with teams and feedback can be collected, consolidated and incorporated in the design and charts.
• Charts are aligned with the organization theme and colors and one doesn't need to put in effort every time to do that.
• No upfront capital expenditure and minimum user criteria helps the organization to keep the costs down.

Incentivized