What is better Stata or Apache Spark? There are many Data Analytics Software products in the market these days. The simplest way to find out which one fits your needs best is to check them side by side. As an example, here you can examine Stata and Apache Spark for their overall score (9.4 vs. 9.8, respectively) or their user satisfaction rating (99% vs. 97%, respectively).
It’s also possible to check their functions and pricing terms as well as other useful details below. When matching products be sure to analyze their similar advantages and mark their disparities to have a clearer picture of both deals. Likewise, bear in mind to check other features such as security, backup, ease-of-use, and customer service.
Right now, the best products in our Data Analytics Software category are: Apache Hadoop, Apache Spark, IBM Business Analytics.
Stata offers several SMB and enterprise pricing plans and packages for all users to choose from. The plans can be availed through perpetual or subscription licensing. You can use the software for business, government, nonprofit, or education purposes. Please contact the vendor for more information on all the available licensing options, and ask for a quote. If you are located outside the United States or Canada, you need to keep in touch with a local distributor. Volume licensing is also available.
The capabilities of Stata can be incorporated into third-party business applications. In addition, the software is available in three versions, namely, Stata/MP, Stata/SE, and Stata/IC. These versions are compatible with each other, although each version is designed to handle a specific size of data sets and has its own data processing speed.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Jon Mormino, Department of Demography, Georgetown University; Stephen Kiser, Regional Economist, Federal Deposit Insurance Corporation; Dr. John P. Haisken-DeNew, DIW-Berlin, German Socio-Economic Panel (GSOEP)
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 intuitive, powerful, and complete data analysis and statistical software solution designed and developed for researchers from different disciplines; enabling them to take advantage of its intuitive point-and-click graphical user interface, comprehensive statistical tools, command line features, complete data management capabilities, and publication-quality graphs.
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.
Every time you research different Data Analytics Software software you shouldn’t simply explore their features list and available pricing plans. Consider that the software should be matching your work processes and team so the more flexible their offer the better. Explore which OSes are supported by Stata and Apache Spark and make sure you will obtain mobile support for whatever devices you work on in your company. You should also find out which languages and countries are supported, as this could be a critical factor for many companies.
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