Overview
What is Oracle Coherence?
Oracle Coherence is database management and development software.
Exploring Oracle Coherence for use on Microsoft Azure
- Straight up deployment on VMs for …
Oracle Coherence Review!
Coherence in-memory data grid
Coherence cache is awsomely performant
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Pricing
What is Oracle Coherence?
Oracle Coherence is database management and development software.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
The Coherence Incubator - Push Replication Pattern - Auction Site Demo - Japanese Sub-Titles
The Coherence Incubator - Push Replication Pattern - Auction Site Demo
Oracle Enterprise Manager 12c: Managing Coherence
Oracle Coherence ActiveCache Demo with WebLogic Server 12c
Coherence - Coherence Query Language (CohQL) Demo
Oracle Coherence
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Oracle Coherence?
Oracle Coherence Competitors
Oracle Coherence Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(21)Attribute Ratings
Reviews
(1-5 of 5)- scale out
- caching
- Better documentation on setting up various use cases.
- Version control tools
- 90%9.0
- Performance optimization tools
- 100%10.0
- Schema maintenance
- 90%9.0
- Database change management
- 80%8.0
- User management
- 80%8.0
- Database security
- 100%10.0
- Database status reporting
- 70%7.0
- Change management
- 80%8.0
- Improved performance of our customer facing transactions.
- It allowed us to integrate with other applications across the enterprise for the consumption of our data.
- Prior Experience with the Product
- Existing Relationship with the Vendor
Exploring Oracle Coherence for use on Microsoft Azure
- Straight up deployment on VMs for existing customer lift and shift workloads on Azure IaaS.
- For use in connection with Oracle WebLogic Server on Azure IaaS.
- For use via the Coherence Kubernetes Operator on Azure Kubernetes service.
- Performance. Superfast resolution of complex data grid queries.
- Reliability. Availability domain support for disaster recovery.
- Programming model. Frictionless API for use with Java 8.
- Integration with Prometheus and other cloud native technologies
- Persistence. Ease of migration from one persistent store to another.
- Compatibility with latest Java Versions. Support for 13 would be nice.
- Straight up cache
- Smart data grid
- Front end for other systems via Golden Gate
- Performance optimization tools
- 70%7.0
- Database status reporting
- 80%8.0
- Change management
- 80%8.0
- Support for Coherence will allow us to claim a more broad and complete offering of Oracle technologies on Azure.
- Support for Coherence will enable us to reach into accounts that have zero Azure and offer them some Azure.
Oracle Coherence Review!
- I think it is pretty robust. Doesn't break.
- A very sophisticated failover logic. Data rarely gets lost.
- Highly configurable depending on how frequently and quickly data needs to be retrieved.
- I can't really come up with too many flaws, but possibly a bit expensive considering there are good open source caches like Ehcache.
- It does serve its purpose well: being a robust cache solution that provides faster data access to our applications.
- Regarding ROI, it all depends on a trade-off between cost, performance, robustness and support. Each team/company has to decide.
- Ehcache
Coherence in-memory data grid
- Distributed in memory data managment. Your data is near your data manipulator or calculator engine.
- Write behind, read through, write through concept.
- Fault tolerance and scalable.
- Continueous query, live events, map reduced aggregiation, extend client are few of the very good features I have used.
- Real time monitoring - Java console using JMX manageable node is not quite friendly.
- Security is not by default, we need to implement it.
- Real time troubleshoot needs to improve.
Oracle Coherence is well suited where data oriented timely real time calculation is required. Coherence not appropriate if your data is off of heterogenous objects and you need proper persistence media (like database).
My key question to ask for selection is how big of a data object you will be caching in each node? Do these data objects have any particular format or pattern?
- Version control tools
- 70%7.0
- Test data generation
- 90%9.0
- Performance optimization tools
- 80%8.0
- Schema maintenance
- 90%9.0
- User management
- 80%8.0
- In my current project, it is yet to be decided as we are on the way to make it live for users. But I am sure it will be an added value to obtain timely calculations.
- jem fire
Coherence cache is awsomely performant
- Fast in-memory cache.
- Load balancing in clustered configuration.
- Flexibly configurable.
- Easily interacts with database.
- Configuration difficulties (because of flexibility I suppose).
- Weak logging (hard to trace and resolve problems).
The best case is when you have a huge amount of static (rarely changed) data. For example if you have end of day calculations you can load all static data into the cache and operate them.
The inappropriate case from my point of view is to put data in the cache and ask it to sync that data to a database.
- Performance optimization tools
- 60%6.0
- Database change management
- 50%5.0
- Database status reporting
- 80%8.0
- Better performance allows us to onboard more clients
- Decom few mainframes that were needed to handle lots of DB queries
- Better customer service with intraday calculations ability.
- TIBCO DataSynapse GridServer
DataSynapse GridServer has the same cache functionality connected with a grid distributed application deployment platform. It provides all the necessary tools to configure and manage these applications.
On the otherhand Oracle Coherence has more a flexible configuration and better performance. Also the Oracle configuration and monitoring tools are more convenient and informative than the DataSynapse ones.