IBM Analytics Engine vs. Revenyze

• 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

Great customer service and support with an easy to use interface and easy to understand. The integration is seamless and much easier to use compared to some competitors products. Having customizable dashboards to handle reporting makes easier work for the team and they are able to understand their objectives more easily. We found that the dashboards and reporting also make sure that our client touch points are correct and ensures that we are offering the best service experience. I do feel that a con for Revenyze would be the gap in packages/plans available. I believe there should be a slight increase in the offering on Pro, leave Scale as it is and introduce a slightly more entry level package that offers what Pro currently does. This offers a greater plan dynamic to the mid-size enterprises who are working on updating their B2B and CRM packages which as we all know can be an incredibly costly exercise.

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

• Interactive and Visual reporting using Dashboards
• Hels us to understand the touch points of our clients journey and where we need to apply action
• Using task and action plans ensures that the sales team don't miss key steps in the sales process

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

• There should be additional plan options, only having Pro or Scale could be challenging to some start up mid-size companies
• Again because the plans are quite pricing, there should possible be a trial version
• Additional data rows and sources on the Pro plan would be helpful

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

We love using HubSpot, we only have some minor niggles that introducing Revenyze solved. Together the two work in harmony ensuring the best action and tasks as well as understanding for our revenue team. The integration if you are using HubSpot already is seamless and easy to implement. The two compliment each other and you will really see the impact that using both software solutions has on your bottom line.

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

• Our team target productivity is up by 40% on the previous quarter
• Integration between marketing and sales is seamless, both teams now speak the same language
• We have increased our lead nurturing by around 30%, ensuring that leads don't slip through task gaps

Incentivized