datapine vs. IBM Analytics Engine

Our team wanted a software that can handle our data in a cloud setting and connect our data sources easily. The values that we got from Datapine cannot be compared with other any other tools Because datapine always focus on the best possible user experience and can certainly compete with other, even bigger softwares in the market.

Incentivized

• 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

• Intuitive user interface, especially within the analyzer (drag & drop).
• Dashboard templates helped to create visually appealing dashboards.
• Many different reporting options.
• Customer support is really helpful.

• 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

• Some advanced functions need SQL knowledge.

• 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

With the help of Datapine i can easily share and send my all reports at a specific time and without any worry about the updates or accuracy of information. The tool is really one of the best tool available in the market.

Incentivized

24×7 support is available in Datapine software. They are always there to provide you every kind of support from their side.

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