What is better Stata or Apache Spark? Today’s corporations require the most effective Data Analytics Software product to remain competitive. On this page we help you with buying the best product, by allowing you to assess Stata and Apache Spark down to the very details of their individual functions.
It is also possible to check our total scoring values, which rate the software overall quality and performance. Stata got a 9.4 score, while Apache Spark has a score of 9.8. Likewise, you may compare their general user satisfaction rating: 99% (Stata) against 97% (Apache Spark). Bear in mind to choose the application that best addresses your most crucial needs, not the software with the higher number of features.
Users who don't have much time or would like to get a Data Analytics Software advice from our experts may want to examine these top choices for the current year: IBM Business Analytics, Apache Spark, Apache Hadoop.
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
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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.
If you are still having second thoughts about which app will work best for your business it might be a sound idea to investigate each service’s social metrics. Such metrics are quite often a way to see how popular every app is and how big is its online presence. For example, in case of Facebook Stata has 23026 likes on their official page while Apache Spark profile is liked by 1552 people.
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