Accelo is used by professional service businesses to manage their client work. The cloud-based platform manages client work delivery, from prospect to payment, including sales, projects, tickets, retainers, timesheets, and resourcing. With an emphasis on time and money, the client work management platform gives a holistic view of up-to-date business data and financial performance. It presents client communications, activities and work centralized in a single platform, so users know…
$24
per month per user
Hive
Score 8.4 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.
$12
per month per user
Pricing
Accelo
Hive
Editions & Modules
Plus
$24
per month per user / per product
Premium
$39
per month per user / per product
No answers on this topic
Offerings
Pricing Offerings
Accelo
Hive
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Accelo Plans start at $120.00 Per Month (on an Annual Contract) for Plus, and $195.00 Per Month (on an Annual Contract) for Premium. Plans include 5 Licenses which are used for various Accelo Products: Sales & Quotes, Projects, Tickets, Retainers, Billing, and Reports.
Accelo is a system that can do it all. It's extremely sophisticated. Depending on the sophistication of your organization, or specifically the abilities of the people you put in charge of the implementation, it can almost be too sophisticated. It all just depends on your situation. The more you use it, the more data you give it, the more you'll be able to see and do. It's incredibly powerful. But it's definitely not a tool that would be appropriate for smaller boutique type organizations that have only basic needs.
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
From the beginning the Accelo team has been very invested in ensuring our success and overall happiness with the platform. The initial implementation specialists and trainers did a fairly good job of learning our company and needs, and tried to tailor the trainings accordingly. However, once we made the formal switch to the platform, meaning we no longer were using our legacy systems, we found that we had a lot of questions....and a lot of ideas and recommendations. The support team is extremely responsive and seemingly happy to receive our continual feedback. And if we encounter an issue that seems to be a system issue, they work diligently to fix it (we've actually had an engineer join a call with us to learn of the issue - and subsequently fix it)
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.
Accelo doesn't really exceed any competitors in any one area of their product, but in 2015 when we made the move this was the best option that included all the tools we wanted. However, user adoption was low in some areas due to the UI, so we scaled back Accelo and added other tools.
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.
