IBM Analytics Engine vs. OSIsoft PI System, from AVEVA

• 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

If you have many different DCSs or PLCs in your manufacturing plant, OSIsoft PI System does the job quite well to integrate all different types of sources and data. We have Yokogawa, Mitsubishi, Hitachi, and Azbil DCS and PLC. Connecting them is not a problem.

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

• Ability to integrate with many 3rd-party systems, 70 sources as per their marketing claims
• Great for big data management

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

• Missing some features and has some bugs

Incentivized

Good local support. The only issue is that there are not many system integrators that are well versed with OSIsoft. The implementation is also very costly.

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

• 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

• Real-time data
• We don't require constant updates during crisis from a technician who usually will update to BCP team via WhatsApp.

Incentivized