30 CAST Imaging Reviews
Overall Review Sentiment for CAST Imaging
Log in to view review sentiment.

System development with CAST Imaging is a new way of application development. All systems architechts should know it. Review collected by and hosted on G2.com.
1, Expensive.
2, Technical support (CAST Help)
3, CAST Product Quality, specially CAST CMS and Analysis unit for C/C++.
4, Limited Functionality.
5, Difficult to implement and analyze code. Review collected by and hosted on G2.com.
Provides Application Architecture Blueprints
Shows any Architectural drifts
Quick Impact Analysis across technologies, frameworks , layers
Capability to find out quick root cause analysis on tickets
Ability to provide aplication wide dependencies
Useful for Transition projects Review collected by and hosted on G2.com.
Complex graphs to show relationship can take more time for understanding for new subscribers Review collected by and hosted on G2.com.
Imaging is a powerful tool ofr generating the application architecture blue print. This helps in faster transition. Generating these detailed object dependency for large application manually will consume lot of effort and budget. Review collected by and hosted on G2.com.
There are still some part of syntax/languages that are still not suppoted by the tool. For that portion, we have to do manual work. Review collected by and hosted on G2.com.
provides a complete visualization of the application architecture and components. Review collected by and hosted on G2.com.
when you have to many nodes in the same view is a little bit slow. Review collected by and hosted on G2.com.

CAST Imaging leverages the core data produced by the CAST Application Intelligence Platform (AIP). Its ability to support almost all technologies including most of the mainframe technologies and the trending ones like Spring Boot, Spring Batch, mobile and cloud makes it unique among all application analysis platforms. The parser is very efficient and stores metadata which can be leveraged for developing our add-ons for customized analysis.
We are redesigning and developing both the core apps on the IBM mainframe and client-facing applications, as part of a large transformation initiative. AIP with Imaging greatly helps structure this analysis and also produces an execution plan for our transformation. It seamlessly identifies interdependencies across all inter-platform components, helping us derive insights into the sequence in which applications' capabilities can be rebuilt and rewired. One of the frequently used use cases is that for each UI screen, we could gather all, directly and indirectly, related java services and mainframe stored procedures.
CAST Imaging complements it further by helping the analysts annotate and maintain the history of these processes accelerating analysis and reverse engineering. This helps new analysts' onboarding, structured knowledge retention and transition too. Review collected by and hosted on G2.com.
I don't dislike any feature of CAST Imaging. Review collected by and hosted on G2.com.
Imaging provides a large varity of views for the implemented architecture, which is so valuable for systems without documentation, or systems with documentation of processes but no technical documentation. Review collected by and hosted on G2.com.
It takes quite some effort to learn to scope and set up Imaging, but CAST can support with this. After installation and scope, the system is ready to use, and has a huge knowledge base (online training, help videos etc). Review collected by and hosted on G2.com.
CAST Imaging is a compelling and innovative product from CAST. If Organization implements it and methodically trains teams in a controlled environment for daily tasks, it may have a tremendously positive effect for the particular application team and the Organization in general if used by the majority of the applications teams.
Main idea of CAST Imaging is to provide visualization blueprints for applications developed and maintained in Organization. Repository of the code, including definition of the schema of the database (not data!) should be provided for the scanning engine. Scanning results are uploaded on the CAST Imaging dedicated internal servers and transferred to the visualization GraphDB (Neo4j technology part). Visual blueprint representation is reflected on the CAST Imaging web application provided to the team members.
CAST Imaging does not change your code or database. As processing is conducted on internal servers, there is no risk of intellectual capital exposure. Both scanned code and digest of the results remain in the organization. Your repositories remain the “master records.” A new scan will bring all new and modified objects and relationships between the objects, which will reflect the recent release. As such, you will have up to date architectural blueprint of the application, being updated as the application evolves along with new releases. Review collected by and hosted on G2.com.
Key to the success and maximal effect if you want to get the most from the product is control and encouraging the actual usage of CAST Imaging in Organization, starting from the very top. It implies SDLC process culture adjustments on the Organization level to integrate CAST Imaging for regular use. Review collected by and hosted on G2.com.

I like the insights obtained from imaging such as
1.inventory of all the components that are part of the application
2.Visibility into the interdependency between the components
3.Call flow analysis
4.Collaboration platform for developers Review collected by and hosted on G2.com.
I am interested in integration of imaging with jira to track the stories under development Review collected by and hosted on G2.com.