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Chatter vs Oracle Beehive comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 2025

Review summaries and opinions

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

Categories and Ranking

Chatter
Ranking in Enterprise Social Software
12th
Average Rating
7.0
Reviews Sentiment
7.9
Number of Reviews
12
Ranking in other categories
No ranking in other categories
Oracle Beehive
Ranking in Enterprise Social Software
20th
Average Rating
9.6
Reviews Sentiment
8.6
Number of Reviews
2
Ranking in other categories
Content Collaboration Platforms (30th)
 

Mindshare comparison

As of April 2025, in the Enterprise Social Software category, the mindshare of Chatter is 3.8%, down from 4.4% compared to the previous year. The mindshare of Oracle Beehive is 1.3%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise Social Software
 

Featured Reviews

it_user669357 - PeerSpot reviewer
Contextualized collaboration on records allows you to have historical conversations that are accessible by other users.
Chatter is a great way to connect your users, especially if your team is working in multiple time zones or locations. If you're struggling with why to use collaboration tools at all, I'd suggest you watch this video. One the best examples that I've seen is a property team who were managing the entire process from leasing properties with branding to shop merges via Salesforce. All of their notifications were email-based and they were getting 100s per day. By moving these alerts to automated posts into particular groups, the users could not only access multiple updates by using digests instead of per alert, but also choose to control who (group members) and how often they get those alerts.
MA
Has an excellent Database Management System and high level of services, performance, and availability
We will need to implement prototypes in our data warehouse. We will have to implement and to support some different types of files like video, audio, pictures, and non-structured data. So we are working on that. We would like better integration for data security. We will have many partners, eight or nine external partners. We will still use our system to upgrade our warehouse. But with many partners, the data warehouse will not be unique. It will be a distributed data platform. So we would need and we are looking for many services to better manage the integrity and the use of all of the data. We are receiving all these data from trains and trucks that are working on the highways and on the roads. We will have to implement some facilities to adequately use all this data at a really high volume coming from IoT. So we are not choosing that and we will have to implement some services. Right now, we don't have any monitoring. We do have major density and access control, but when a user is in our environment, we do not have the services to really measure what he is doing. I will have to report in three months on the project and its evolution. I don't have the financials and the best practices regarding the financial models with costs and benefits for a major data platform with many partners. We will know what it will cost, but we will have to define some benefits because when I will be at the treasury board asking for a major project, they will ask me what would the benefits from that will be. I'm doing research into best practices. I know that the U.S. government has a platform like the one we want to build. It is a bigger one, from what I understand. I think that the state of California and maybe the state of New York has the type of platform we want to put in place. I would like to present more than just an article. I would like to have a reference model, to really be on target by showing the benefits that are possible down the road.
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Comparisons

No data available
 

Also Known As

No data available
Beehive
 

Overview

 

Sample Customers

Coca Cola Enterprise, Blue Shield of California, Stanley Black & Decker, Wells Fargo Bank, Phillips, Toyota Motors, American Red Cross, Time Warner Cable, Virgin America,Canon, and Bayer Pharmaceuticals.
Oracle
Find out what your peers are saying about Chatter vs. Oracle Beehive and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.