What is better Apache Spark or Putler? With various functionalities, pricing, terms, and more to check, determining the best Data Analytics Software for your firm is tough. But by working with our system, it's easy to match the characteristics of Apache Spark and Putler including their general SmartScore, respectively as: 9.8 and 8.0 for overall score and 97% and 87% for user satisfaction.
You can also evaluate them feature by feature check out which program is a more effective fit for your enterprise. Don’t forget to ask for a free trial first before opting in for a plan to get a firsthand experience how the software works in real scenarios.
People who don't have much time or would like to get a Data Analytics Software recommendation from our team may want to take a look at these top choices for this year: IBM Business Analytics, Apache Hadoop, Apache Spark.
Apache Spark is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, commercial, or open source development purposes for free. Thus, you can use Apache Spark with no enterprise pricing plan to worry about.
Apache Spark integrates with some open source projects developed by The Apache Software Foundation as well as with third-party systems such as the following:
Apache Hadoop
Apache Mesos
HDFS (Hadoop Distributed File System)
Apache Cassandara
Apache HBase
Apache Hive
Hadoop YARN
Kubernetes
EC2
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Anson Abraham, Data Czar, Envisagenics, Inc; Kartik Chavan, Data Analyst, The University of Texas at Arlington; Sunil Dhage, Big Data Analyst, PSL Group
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
An easy-to-use, lightning-fast, and unified analytics software solution developed to handle computational processes and tasks on high volumes of data, process SQL queries for structured data, streamline the creation of scalable and fault-tolerant applications that execute live stream data processing, and implement graph analytics and computation in a flexible and fast manner.
In the event you are still having doubts about which software will work best in your case it may be a good idea to examine each service’s social metrics. Such metrics are quite often an indicator of how popular every product is and how extensive is its online presence.For example, if you analyze Apache Spark LinkedIn account you’ll learn that they are followed by 21520 users. In case of Putler the volume of followers on their LinkedIn page is 5.
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