Why migrate from Caché to IRIS
I'm working with clients planning migrate from Caché to IRIS and I want to summary advantages to go to IRIS. I think is:
- IntegratedML - AutoML - Agile machine learning
- IAM - InterSystems API Manager
- Interoperability
- Advanced Reports (JReport)
- Cloud Manager/Docker and DevOps support
- ZPM - Package manager
- Native API - Node.js, Python, Java and .NET interoperability
- Core based license x user based license
- InterSystems Support and new features
- Improved management and monitoring features
Can you help me to think or detail these 10 topics?
Comments
Good list.
Wonderful document! Thanks @Eduard Lebedyuk
Sharding
Great list. Even higher performance and greater scalability.
Analytics (aka DeppSee) build it.
also... great advantage for Intersystems itself (to earn more for license upgrade).
Hi @Yuri Marx,
at the very first topic, I will put at the top of your list :
0. better performances
It can be seen as obvious, but IRIS is **really** faster than Caché.
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And this slide is more than 2 years old...
Hi Sylvain,
Is it possible to publish more details of the scenario which showed such impressive figures?
Hi @Yuri Marx,
and today, you can add to this list :
- Embedded Python
- Adaptive Analytics (AtScale)
- System Alerting and Monitoring (SAM)
- InterSystems Kubernetes Operator (IKO)
- SQL improvements on performances and capabilities (Global Iterator, Columnar Storage, Adaptive Parallel Execution, LOAD DATA, etc.)
- Kernel enhancements (Mirroring, etc.)
- Security enhancements
- etc. (see release notes)
What is Global Iterator?
What about
- enhanced multi model capabilities via native json storage / document database
- in-memory bi-directional java and .net gateway (and python but have embedded python since then)
- AWS Cloud connectors
- REST enhancements (API publishing via swagger, spec first development from OpenAPI 2 spec)
Also, more generally, IRIS is the successor of Ensemble + iknow + DeepSee, rather than just Caché