ShotGrid is a production management and review toolset for VFX, animation, and games teams. ShotGrid is equipped to handle creative production tracking needs, supporting teams from large to smaller studios.
$45
per month per user
Hive
Score 9.0 out of 10
N/A
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
Pricing
Autodesk ShotGrid
Hive
Editions & Modules
No answers on this topic
Free
$0
Lite
$24
per month per user
Growth
$34
per month per user
Pro
$59
per month per user
Elite
Contact Sales
Offerings
Pricing Offerings
ShotGrid
Hive
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
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.
More Pricing Information
Community Pulse
Autodesk ShotGrid
Hive
Features
Autodesk ShotGrid
Hive
Project Management
Comparison of Project Management features of Product A and Product B
Autodesk ShotGrid
-
Ratings
Hive
9.1
15 Ratings
16% above category average
Task Management
00 Ratings
9.015 Ratings
Resource Management
00 Ratings
9.015 Ratings
Gantt Charts
00 Ratings
10.014 Ratings
Scheduling
00 Ratings
7.014 Ratings
Workflow Automation
00 Ratings
9.014 Ratings
Team Collaboration
00 Ratings
10.015 Ratings
Support for Agile Methodology
00 Ratings
10.012 Ratings
Support for Waterfall Methodology
00 Ratings
8.011 Ratings
Document Management
00 Ratings
10.013 Ratings
Email integration
00 Ratings
10.013 Ratings
Mobile Access
00 Ratings
8.011 Ratings
Timesheet Tracking
00 Ratings
10.09 Ratings
Change request and Case Management
00 Ratings
10.011 Ratings
Budget and Expense Management
00 Ratings
7.09 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
ShotGrid seems to be well suited for a video team for reviews and project tracking. It may not be well suited for Project managers who need to see the bigger picture of the project.
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.
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
Ordering comments made by different people by timecode/frame number, instead by the time and date the comment was made
Being able to move an uploaded video from shots to assets and vice versa. Right now we have to re-upload but lose any comments made already if they were in the wrong place
Custom filters are great but they could get a little confusing with all the options. Might help with guidelines or a place we could ask what we want and someone could answer with the best way to achieve those specific filters we want
It's UI/UX is very robust. There's a lot of functionality but it's not very intuitive or intuitive. I spend time with new hires and contractors to overview ShotGrid for a day and revisit after a week or two. Questions always arise down the line
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.
Wipster had limitations on video uploads, which was a major drawback. One thing we liked with Wipster was how we can see comments made in order on the timeline while watching the video.
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.