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Good App Engine (GAE)
Updated October 09, 2015

Good App Engine (GAE)

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Software Version

google cloud platform

Modules Used

  • java,python

Overall Satisfaction with Google App Engine

The Google App Engine solution is helping an entirely new category of applications that process data in real-time and at scale very robustly. It has faster, easier, more detailed simulations and solutions for all cloud related requirements. We use Google App Engine to develop and deploy both internal and public web applications. The APIs for accessing the datastore are very easy to use.
  • The APIs for accessing the datastore are very easy to use.
  • Implementing text indexing and search related applications perform better on Google App Engine compared to other app engines.
  • Reliable NoSQL datastore, including atomic transactions and a query engine.
  • Developers have read-only access to the filesystem on Google App Engine.
  • Google App Engine limits the maximum rows returned from an entity get to 1000 rows per Datastore call.
  • Not suitable for CPU intensive calculations.
  • Increased employee efficiency.
  • Less infrastructure maintenance time.
  • Amazon Elastic Compute Cloud (EC2)
The immediate benefits of Google App Engine is that it is essentially maintenance free as it relates to infrastructure (scalable web server and database administration). Google App Engine is more tailored to those developers that only want to focus on their applications and not the underlying system. In a way you can consider that developer friendly.
Google App Engine's infrastructure removes many of the system administration and development challenges of building applications to scale to millions of hits. Google handles deploying code to a cluster, monitoring, failover, and launching application instances as necessary.

Google App Engine Feature Ratings

Platform-as-a-Service
7.3
Ease of building user interfaces
6
Scalability
8
Platform management overhead
6
Workflow engine capability
7
Platform access control
9
Services-enabled integration
7
Development environment creation
7
Development environment replication
6
Issue monitoring and notification
8
Issue recovery
7
Upgrades and platform fixes
9

Using Google App Engine

5 - They simplify the customer management information that was distributed in multiple systems across its sales and marketing organization.they design, develop and implement a system that consolidated all the information to a single point data source for other customer sensitive data, including the CRM system.
2 - Technical Engineers.
  • Data analysis
  • web app deployment
  • app deployment through ansible
  • docker installation
  • data algorrithm processing. data intensive operation

Evaluating Google App Engine and Competitors

  • Product Features
  • Product Usability
  • Analyst Reports
More robust and scalability.

Google App Engine Implementation

Google App Engine Support

More technical knowledge needs to be pursued by the technical support team.
ProsCons
Quick Resolution
Immediate help available
Support cares about my success
Poor followup
Problems left unsolved
Escalation required
Need to explain problems multiple times
Slow Initial Response
Yes
Regarding the application deployment support.

Using Google App Engine

The overall plus is the ease of use – you need way less system administration knowledge, and even if you have it, you need to do much less in order to have a real-world-ready application.
ProsCons
Like to use
Easy to use
Well integrated
Quick to learn
Feel confident using
Unnecessarily complex
Requires technical support
Inconsistent
Cumbersome
Lots to learn
  • deployment
  • scalability
  • ease of use
  • multi platform support
  • memory intensive operations