What is better Stata or Ortto? To make sure you purchase the most helpful and productive Data Analytics Software for your firm, you need to compare products available on the market. For example, here you may match Stata’s overall score of 9.4 against Ortto’s score of 8.7. You can also review their general user satisfaction: Stata (99%) vs. Ortto (97%).
Moreover, you can review their good and bad points feature by feature, including their offered terms and costs. By comparing products you are more likely to choose the best software for your situation. Of course you should know your specific needs to realize which software meets those needs.
In case you you have to quickly locate the more reliable Data Analytics Software according to our experts we recommend you check out the following solutions: Apache Spark, Apache Hadoop, 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.
Ortto integrates with a wide variety of third-party software for finance, sales, customer support, and ecommerce, among others. Below are some of these integrations:
Shopify
Facebook
Pipedrive
Stripe
Zapier
WooCommerce
Zendesk
Google Ads
Gorgias
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Bitly, Vodafone, Microsoft
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
Designed to collect customer data into a single platform to provide a complete view of each customer. This unified data also makes it easier for marketers to create dynamic audience segments and hyper-personalized marketing messages. Pre-made and customized marketing reports and dashboards also allow teams to accurately track campaign performance.
If you continue having doubts about which solution will work best in your case it might be a good idea to analyze each service’s social metrics. Such metrics are quite often an indicator of how popular a given app is and how extensive is its online presence.For instance, if you check Stata LinkedIn account you’ll find out that they are followed by 3798 people. In case of Ortto the amount of followers on their LinkedIn page is 5320.
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