Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
$7
per month per user
Stackby
Score 9.1 out of 10
N/A
Stackby is designed to bring together the simplicity of spreadsheets, the functionality of databases and integrations with best business APIs to let anyone build their own tools, the way they want. No coding needed. Users can build a database from scratch, import data from pre-existing sources like spreadsheets or Google Sheets, or choose from over 100 pre-built templates across multiple categories. Stackby offers over 25 unique column types like text,…
$5
per month per user
Pricing
Hive
Stackby
Editions & Modules
Starter
$7
per month per user
Teams
$18
per month per user
Personal
$6
per month per user
Economy
$10
per month per user
Business
$20
per month per user
Business Plus
$35
per month per user
Enterprise
Custom
Offerings
Pricing Offerings
Hive
Stackby
Free Trial
Yes
Yes
Free/Freemium Version
Yes
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.
20% discount for annual pricing.
More Pricing Information
Community Pulse
Hive
Stackby
Features
Hive
Stackby
Project Management
Comparison of Project Management features of Product A and Product B
Hive
8.9
15 Ratings
16% above category average
Stackby
-
Ratings
Task Management
8.915 Ratings
00 Ratings
Resource Management
8.815 Ratings
00 Ratings
Gantt Charts
9.714 Ratings
00 Ratings
Scheduling
7.114 Ratings
00 Ratings
Workflow Automation
8.814 Ratings
00 Ratings
Team Collaboration
9.715 Ratings
00 Ratings
Support for Agile Methodology
9.812 Ratings
00 Ratings
Support for Waterfall Methodology
8.011 Ratings
00 Ratings
Document Management
9.613 Ratings
00 Ratings
Email integration
9.713 Ratings
00 Ratings
Mobile Access
7.911 Ratings
00 Ratings
Timesheet Tracking
9.89 Ratings
00 Ratings
Change request and Case Management
9.711 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 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.
Based on my experience, I can provide specific scenarios where Stackby is well suited and others where it may be less appropriate: Project Management: Stackby is an excellent choice for project management scenarios. Its ability to create custom databases, track tasks, assign responsibilities, and collaborate in real-time makes it highly effective for managing and monitoring project progress. CRM and Sales: Stackby is well suited for managing customer relationships and sales processes. Its customizable database structure allows for organizing customer information, tracking leads, managing deals, and generating reports. The ability to integrate with other tools further enhances its usefulness in CRM and sales workflows. Content Planning: Stackby is a great fit for content planning scenarios. Users can create databases to manage editorial calendars, track content ideas, assign tasks to team members, and monitor content performance. Collaboration features facilitate seamless content collaboration and ensure timely publishing.
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
Implement the same views available on desktop into the mobile app
Internal automations (like Airtable)
Ability to implement and display info as a dashboard (like Airtable)
Polish up the formatting of formulas, inputting them causes user frustration due to the formula input cursor jumping around
Better intelligence and ease of inputting data in bulk i.e have the fields automatically identify what data is being input and format appropriately (like Airtable does)
Stackby is overall pretty easy to use, especially if you're used to something like Airtable or SmartSuite. Some of the pages seem like near exact clones (though they put their own creative spin on things). I'd prefer a slighty fresher interface (like SmartSuite), but I'm willing to sacrifice that for the better price and great customer service.
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 also tried Ora.Pm. Infinity has better graphical interface, but nowhere near as many features and the UI isn't as effective (i.e, moving around with keys). Grist has a much more technical interface and it comes from being more of a database/interactive spreadsheet vs Stackby. Grist has much more functionality in terms of formulas, but is much harder to learn to use and less other functionalities. Ora.PM is more of a test at a task management app, and doesn't compare - Stackby is much better.