Google App Engine
Salesforce Platform
Dokku
Heroku
AWS Lambda
AWS Elastic Beanstalk
Google Cloud Functions
Azure Web Apps
QualCoder
ATLAS.ti
MAXQDA
NVivo
CATMA
RQDA
Taguette
Dedoose
QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work with audio and video data. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.
Google App Engine
QualCoderGoogle App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.
I used Qualcoder to code 100 hours of public hearings transcripts and I found it a very pleasant experience. The workflow is intuitive and quick. Even though some transcripts went over 150.000 characters, I was using about 50 codes, and have transcripts with over 100 different coded segments, the program remained stable. Using the | character in the search field allows for the use of multiple keywords at once, which was very effective. The report function allows you to produce overviews of interview segments per code and various kinds of statistical analysis, which can be integrated with R-Studio. Many thanks to Dr. Colin Curtain for the development and software support.
QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.
I really like using QualCoder 3.0 for its ease of use and intuitive interface.
Based on our record, Google App Engine seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Google App Engine (GAE) -- the "OG" serverless platform that launched back in 2008 & somewhat modernized in 2018; uses customized, proprietary containers, free static file edge-caching, and generous outbound networking free tier. - Source: dev.to / 9 months ago
Google App Engine - Google's fully managed platform for building scalable web and mobile backends. - Source: dev.to / about 1 year ago
If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / over 1 year ago
As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / almost 2 years ago
Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / almost 2 years ago
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
MAXQDA - a professional software for qualitative and mixed methods data analysis
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.ย