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Oracle Coherence vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Oracle Coherence
Ranking in Database Development and Management
21st
Average Rating
7.8
Number of Reviews
30
Ranking in other categories
In-Memory Data Store Services (10th)
VMware Tanzu Data Solutions
Ranking in Database Development and Management
7th
Average Rating
8.0
Number of Reviews
82
Ranking in other categories
Relational Databases Tools (9th), Data Warehouse (7th), Message Queue (MQ) Software (4th)
 

Featured Reviews

it_user514590 - PeerSpot reviewer
Sep 19, 2016
Pro-active caching improved risk calculation time and allowed the risk grid to scale with volume growth.
Oracle Coherence is mature and feature-rich product. However, there are a few old pain points. One pain point is cluster configuration. On complex projects, it is a challenge to consistently maintain custom Coherence XML and the rest of application configuration (often based on a Spring framework). Another pain point is testing. Due to internal implementation, it is impossible to start multiple Coherence nodes in a single JVM without special tricks. Multi-node test setup is important if the application is exploiting advanced features of the product. This is somehow addressed by the community (there are three open-source frameworks for testing Coherence), but the problem could have been solved by Oracle once and for all.
AANKITGUPTAA - PeerSpot reviewer
Nov 7, 2022
Open-source, reliable, and able to expand
Postgres is a database. Like Oracle is a database, this is a database. We replaced our Oracle paid database with the open-source Postgres database, and we migrated around 50 lakhs of consumer data there with different rows and tables. We deployed this in different production staging and testing. We…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Technical support from Oracle is okay."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"We use VMware RabbitMQ to transfer information from one point to another."
"After creating a RabbitMQ service, they provide you with a sort of web management dashboard."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"The product has been stable and I have never faced any kind of problems with it."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"The message routing is the most valuable feature. It is effective and flexible."
"A very good, open-source platform."
 

Cons

"This platform has issues with stability and performance."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"Implementing a circuit breaker scenario using RabbitMQ is complicated. This complexity arises because manual intervention is required to manage worker details and handle operations based on worker IP addresses."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"The initial deployment was a little difficult."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"There are some security concerns that have been raised with this product."
 

Pricing and Cost Advice

Information not available
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"The product is available for free use since it is an open-source technology."
"The price is pretty good."
"Since the tool is an open-source product, there is no need to pay anything."
"It is an open-source platform. Although, we have to pay for additional features."
"The pricing is okay."
"Pricing is good compared to other products. It's fine."
"It is the best product with best fit for price/performance customer objectives."
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Top Industries

By visitors reading reviews
Financial Services Firm
41%
Computer Software Company
12%
University
7%
Construction Company
4%
Financial Services Firm
29%
Computer Software Company
16%
Manufacturing Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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How does IBM MQ compare with VMware RabbitMQ?
IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocol...
What is your experience regarding pricing and costs for VMware Tanzu Greenplum?
It’s an open-source solution. There are no expenses for using it.
 

Also Known As

Coherence
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Learn More

 

Overview

 

Sample Customers

Industrial Bank of Korea, Hotelbeds, Canon Inc., Verizon, Securitas Direct Espa_a, S.A.U., CetelemEspa_aGrupo BNP Paribas, Telus
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about Oracle Coherence vs. VMware Tanzu Data Solutions and other solutions. Updated: September 2024.
801,394 professionals have used our research since 2012.