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Oracle Coherence Reviews

21 Ratings
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Score 7.8 out of 100

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January 24, 2020

Oracle's Coherence Cache brings in-memory performance to applications.

Gene Baker | TrustRadius Reviewer
Gene Baker
Score 8 out of 10
Vetted Review
Verified User
Review Source
Oracle Coherence is our enterprise solution for elastic caching and is used across the organization. Our team was previously using IBM Websphere Extreme Scale appliances, but the deployment of those devices was cumbersome because we had to deploy physical devices. Our team decided to migrate over to Oracle Coherence, which we had initially looked at when the product was Tangosol before Oracle Coherence purchased them. We use Oracle Coherence to cache data close to the application server to avoid the round trip latency and lookup times at the data tier.
  • scale out
  • caching
  • Better documentation on setting up various use cases.
Oracle Coherence can be used to solve latency problems by caching data near the application tier. In-memory performance helps to reduce data contention, thus improving application response time. Oracle Coherence does a great job at scaling linearly and can do so dynamically. Oracle Coherence can replicate data so it can be part of a disaster recovery solution. One thing that is often overlooked with elastic caches is their ability to analyze data in memory, leveraging the processing power of the data grid. This is something Oracle Coherence does exceptionally well. Oracle Coherence also provided event handling capabilities to allow applications to respond to events triggered by transactions.
Not yet, but I'm interested in Oracle user groups
Oracle Coherence support team is responsive and knowledgeable. We contacted them to ask a couple of design questions about how we were setting up Oracle Coherence based on how we used IBM's Datapower Extreme Scale. They were able to guide us so that we got the design correct the first time and didn't have to go back and re-architect our design later.
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October 01, 2019

Exploring Oracle Coherence for use on Microsoft Azure

Anonymous | TrustRadius Reviewer
Verified User
Score 7 out of 10
Vetted Review
Verified User
Review Source
We are exploring the use of Oracle Coherence on Microsoft Azure. There are several possible use patterns:
  • 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.
Well suited for:
  1. Straight up cache
  2. Smart data grid
  3. Front end for other systems via Golden Gate
Yes - I am a member of the Orlando Java User Group. This gives me access to the local JUG as well as international JUGs when I travel.
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December 14, 2015

Coherence cache is awsomely performant

Sergey Blashkov | TrustRadius Reviewer
Sergey Blashkov
Score 9 out of 10
Vetted Review
Verified User
Review Source
It is used organization-wide and we also have separate Oracle Coherence expertise department to help users of Coherence. The Oracle in-memory cache solution allows to make more reliable and robust applications and services for our business. In my particular project, the Coherence cache provides the performance we look for while calculations are being made. Without Coherence we would not be able to meet timings in both end of day (EOD) and intraday calculations.
  • 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.

Read Sergey Blashkov's full review
April 14, 2017

Oracle Coherence Review!

Anonymous | TrustRadius Reviewer
Verified User
Score 8 out of 10
Vetted Review
Verified User
Review Source
Our user interface uses Oracle Coherence cache in the middle office space in an investment bank. Our UI serves to display as well as operate on data. All data is stored in Oracle DB, but obviously, we need caches to boost performance. Hitting a DB every time new information is necessary is just too much.
  • 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 literally all boils down to the budget a team has. Nowadays, even investment banks look for every opportunity to cut cost. Oracle Coherence is a pretty robust and highly configurable cache application that every team should use if they can afford. If they can't, then open source code is their answer.
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February 10, 2016

Coherence in-memory data grid

Anonymous | TrustRadius Reviewer
Verified User
Score 9 out of 10
Vetted Review
Verified User
Review Source
Oracle Coherence is used to store/sync real time trade data from a source front desk application. It is used by our LOB to calculate the risk parameters (greeks) on those trades. As Oracle Coherence is in memory, clustered, stable, distributed, scalable, failure resistance; it has provided great support and technology to timely calculation of risk parameters.
  • 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?

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Oracle Coherence Scorecard Summary

Likelihood to Recommend (21)
7.8
Support Rating (2)
10.0

Feature Scorecard Summary

Version control tools (2)
9.0
Test data generation (1)
8.2
Performance optimization tools (4)
8.7
Schema maintenance (2)
9.0
Database change management (2)
8.0
User management (2)
8.0
Database security (1)
10
Database status reporting (3)
7.4
Change management (2)
8.0

What is Oracle Coherence?

Oracle Coherence is an in-memory data grid solution designed to enable organizations to predictably scale mission-critical applications by providing fast access to frequently used data.
Categories:  Data Fabric,  Database Management

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Oracle Coherence Technical Details

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