What is better RATH or Apache Spark? The best Data Analytics Software is a program that can address your company’s specific needs. It is possible to find which option is best suited for your enterprise if you assess different products before you decide which one is the best.
As an example, RATH and Apache Spark are scored at 8.0 and 9.8, respectively, for overall quality and performance. Likewise, RATH and Apache Spark have a user satisfaction rating of 97% and 97%, respectively, which suggests the general feedback they get from customers. Moreover, talk to a regular user of the software and solicit their opinion about the application in question.
Our team put a lot of effort to review all popular Data Analytics Software solutions available on the market, but among them these three caught our special attention: Apache Spark, IBM Business Analytics, Apache Hadoop.
RATH is a free, open-souce exploratory data analysis and visualization software that’s distributed and governed based on the terms and conditions of the GNU Alfero General Public License or GNU AGPL published by the Free Software Foundation.
This is a free, copyleft license that grants end users in the community the freedom to use, share, modify, and enhance projects, programs, and works. Thus, you don’t have to pay any enterprising plan fees for utilizing RATH for your data exploration activities.
RATH is a data analytics software that simplifies and augments the preparation, exploration, and visualization of data for data scientists, data analysts, and business intelligence users.
Company Email
support@kanaries.org
Contact No.
Company's Address
Kanaries Data, Inc.
8 The Green, Ste B, Dover, DE 19901
USA
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.
Both RATH and Apache Spark were reviewed by a panel of independent SaaS experts who conducted a thorough analysis of all crucial elements of every software. Their ultimate score was prepared with unique SmartScore model that gives an individual partial score to every component such as: main functionalities, client support, mobile support, security, customer satisfaction as well as market presence. We realize useful features are not the only aspect essential to a company so we do our best to pay attention to all aspects of a solution prior to calculating its final rating.
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