Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$24
per month per user
Microsoft Dynamics 365 Customer Service
Score 7.9 out of 10
N/A
Microsoft Dynamics 365 Customer Service is designed to create positive experiences through any channel and on any device to exceed customer expectations.
$50
per month per user
Pricing
Hive
Microsoft Dynamics 365 Customer Service
Editions & Modules
Free
$0
Lite
$24
per month per user
Growth
$34
per month per user
Pro
$59
per month per user
Elite
Contact Sales
Dynamics 365 Customer Service Professional
$50
per month per user
Add-In - Chat
$60
per month per user
Dynamics 365 Customer Service Enterprise
$105
per month per user
Dynamics 365 Customer Service Premium
$195
per month per user
Offerings
Pricing Offerings
Hive
Microsoft Dynamics 365 Customer Service
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
A discount is offered for annual pricing.
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More Pricing Information
Community Pulse
Hive
Microsoft Dynamics 365 Customer Service
Features
Hive
Microsoft Dynamics 365 Customer Service
Project Management
Comparison of Project Management features of Product A and Product B
Hive
9.1
15 Ratings
16% above category average
Microsoft Dynamics 365 Customer Service
-
Ratings
Task Management
9.015 Ratings
00 Ratings
Resource Management
9.015 Ratings
00 Ratings
Gantt Charts
10.014 Ratings
00 Ratings
Scheduling
7.014 Ratings
00 Ratings
Workflow Automation
9.014 Ratings
00 Ratings
Team Collaboration
10.015 Ratings
00 Ratings
Support for Agile Methodology
10.012 Ratings
00 Ratings
Support for Waterfall Methodology
8.011 Ratings
00 Ratings
Document Management
10.013 Ratings
00 Ratings
Email integration
10.013 Ratings
00 Ratings
Mobile Access
8.011 Ratings
00 Ratings
Timesheet Tracking
10.09 Ratings
00 Ratings
Change request and Case Management
10.011 Ratings
00 Ratings
Budget and Expense Management
7.09 Ratings
00 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
Hive
7.0
12 Ratings
10% below category average
Microsoft Dynamics 365 Customer Service
-
Ratings
Quotes/estimates
7.010 Ratings
00 Ratings
Invoicing
7.07 Ratings
00 Ratings
Project & financial reporting
7.010 Ratings
00 Ratings
Integration with accounting software
7.09 Ratings
00 Ratings
Incident and problem management
Comparison of Incident and problem management features of Product A and Product B
Hive
-
Ratings
Microsoft Dynamics 365 Customer Service
8.5
2 Ratings
4% above category average
Organize and prioritize service tickets
00 Ratings
10.02 Ratings
Expert directory
00 Ratings
8.02 Ratings
Subscription-based notifications
00 Ratings
10.01 Ratings
ITSM collaboration and documentation
00 Ratings
3.02 Ratings
Ticket creation and submission
00 Ratings
10.02 Ratings
Ticket response
00 Ratings
10.02 Ratings
Self Help Community
Comparison of Self Help Community features of Product A and Product B
Hive
-
Ratings
Microsoft Dynamics 365 Customer Service
5.5
2 Ratings
37% below category average
External knowledge base
00 Ratings
3.02 Ratings
Internal knowledge base
00 Ratings
8.02 Ratings
Multi-Channel Help
Comparison of Multi-Channel Help features of Product A and Product B
Hive is a powerful tool for data analysis and management that is well-suited for a wide range of scenarios. Here are some specific examples of scenarios where Hive might be particularly well-suited: Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation.Simple queries on large datasets: Hive is optimized for simple queries on large datasets, making it a good choice for tasks such as data exploration and summary statistics. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. On the other hand, here are some specific examples of scenarios where Hive might be less appropriate: Real-time queries: Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. While it is possible to use Hive for real-time queries, it may not be the most efficient choice for this type of workload. Complex queries: Hive is optimized for simple queries on large datasets, but may struggle with more complex queries or queries that require multiple joins or subqueries.Very large datasets: While Hive is designed to scale horizontally and can handle large amounts of data, it may not scale as well as some other tools for very large datasets or complex workloads.
With the constant changes included in the product, we can now use it for all the customer service scenarios / channels, for e.g. earlier for voice, we had to buy 3rd party CTI based tools, but now Voice Channel being available as the part of the product, that solves that thing. Also we see constantly new AI-driven features added to the product that could save lot of time of the agents while working on the cases like case summary, automate email generation, sentiment analysis etc.
Simplicity, it offers a clean environment without risking the outcome. An example of this are the timesheets that allow a fast way to keep track of progress
Interaction, the different options make it faster and easier to interact and collaborate in the development of a product. An example of this would be Hive Notes for meetings
The different visualisations it offers allow to explore the best ways to affront your projects. I really like the Gantt mappings view to understand who can be contacted at each point
Dynamic CS allows you to access a wider customer base and gain artificial intelligence-powered insights into numerous client interaction activities.
It assists in gaining deep insights into numerous data analyses performed on various customer interaction activities, as well as data visualization and customer satisfaction enhancement.
This product has been extremely beneficial to my firm since it allows us to communicate with customers via a variety of channels, including e-mail and social media.
Extensible, and Microsoft responds rapidly to market demand with new features. In terms of service, both Microsoft customer success and technical teams collaborate closely to ensure appropriate delivery.
A better way to track client interactions is SaaS-based cloud services. This software may also be linked to outlook.
Microsoft Dynamics 365 Customer Service is generally very user-friendly, especially for those familiar with Microsoft products. The strength of Microsoft Dynamics 365 Customer Service is its integration with Outlook and Microsoft Office products like Word, Excel etc. and it user interface being similar to those products. This makes it easy for user to adopt to any new app.
Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.
Hive is a bit different than Jira and Monday, which I used mostly. Overall does a great job managing project and helps with team communication. Removes dependency of asking team members for updates by going to conference rooms. With Hive, the team updates the status, and we can easily track it.
I have worked with Oracle CRM On Demand earlier, mainly for case management and basic customer support workflows. Oracle CRM was stable and worked fine for standard use cases, but customization was limited and changes usually required more effort and time. Integrations with other systems were also not very flexible. Microsoft Dynamics 365 Customer Service is much stronger in terms of flexibility and scalability. The biggest advantage is tight integration with the Microsoft ecosystem like Outlook, Teams, Power Automate, and Power Apps, which makes automation and productivity much better. Case management, SLAs, queues, and omnichannel features are more advanced and easier to configure.