What is better DataMelt or Putler? It’s easy to our scoring system to help you get a general idea which Data Analytics Software product is will work better for your company. For overall product quality, DataMelt earned 8.0 points, while Putler earned 8.0 points. At the same time, for user satisfaction, DataMelt scored 98%, while Putler scored 87%.
Details about their features, tools, supported platforms, customer service, plus more are given below to provide you with a more correct assessment. Remember to choose only the functions your company needs so you don’t waste cash for features which are redundant.
In case you you want to quickly decide on the optimal Data Analytics Software according to our review team we recommend you check out the following solutions: IBM Business Analytics, Apache Hadoop, Apache Spark.
DataMelt is a free and open-source software environment. This means you can use it for free without worrying about any enterprise pricing plan fees.
Meanwhile, if you’re going to use the software environment for commercial purposes, you need to pay for a one-time membership fee of $20 and abide by the restrictions and conditions specified under the Creative-Commons License.
Once you become a member of the DataMelt project, you can get a commercial usage license as well as access DataMelt’s full documentation, source code and script repositories, help system, and other important files and resources.
You should pay attention to the fact that while both DataMelt and Putler may have an outstanding set of features each product may be created for a different business size. If you are comparing features you should pay attention to a business size they are meant for. Specific functionalities could scale up efficiently for big enterprises but if you run a small or mid-sized business it’s frequently more sensible to stay away from paying for complex functionalities that you may never actually use.
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