Hive Technology offers their eponymous project management and process management application, providing integrations with many popularly used applications for productivity, cloud storage, and collaboration.
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Rocketlane
Score 9.7 out of 10
N/A
As per the information provided by the vendor, Rocketlane is
a platform specifically designed to cater to onboarding, implementation, and
professional services teams. The primary objective of this platform is to
enhance collaboration with customers, optimize project delivery efficiency, and
augment customer experience and accountability. Its target audience primarily
includes industries such as CS (Customer Success) and Professional Services. It
emphasizes its capability to expedite time-to…
N/A
Pricing
Hive
Rocketlane
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
No answers on this topic
Offerings
Pricing Offerings
Hive
Rocketlane
Free Trial
Yes
Yes
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
Rocketlane
Features
Hive
Rocketlane
Project Management
Comparison of Project Management features of Product A and Product B
Hive
7.5
Ratings
2% below category average
Rocketlane
8.4
Ratings
9% above category average
Task Management
8.30 Ratings
9.00 Ratings
Resource Management
7.30 Ratings
8.00 Ratings
Gantt Charts
7.70 Ratings
8.00 Ratings
Scheduling
7.90 Ratings
9.00 Ratings
Workflow Automation
7.50 Ratings
8.00 Ratings
Team Collaboration
8.00 Ratings
10.00 Ratings
Support for Agile Methodology
8.30 Ratings
9.00 Ratings
Support for Waterfall Methodology
7.60 Ratings
5.00 Ratings
Document Management
7.10 Ratings
8.00 Ratings
Email integration
7.30 Ratings
9.00 Ratings
Mobile Access
7.00 Ratings
00 Ratings
Timesheet Tracking
7.30 Ratings
9.00 Ratings
Change request and Case Management
7.00 Ratings
00 Ratings
Budget and Expense Management
6.60 Ratings
00 Ratings
Professional Services Automation
Comparison of Professional Services Automation features of Product A and Product B
Hive is great for managing projects with your team. Assigning tasks is simple enough using Hive. It helps manage team goals for the projects. We are able to create reports (via the dashboard) for the progress and updates to provide to the team based on completed stages. Works great for bigger projects.
There is project management tracking from the start till the end (onboarding till hypercare). The bifurcation of project stages and pre-built templates is good; you can assign client tasks. Less appropriate: Raising tickets for developers because there is no escalation management option. Let’s say the developer didn’t reply in 24 hours for a high-priority task; this should be automatically escalated to their senior.
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.
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.
Integration with other tools: Hive integrates with a wide variety of other tools and services in the Hadoop ecosystem, such as Pig, Spark, and HBase, allowing users to perform a wide range of data analysis and management tasks.
Status updates can be published, which can be seen by external stakeholders/clients even though they are not on Rocketlane or they have not taken Rocketlane subscriptions.
Timesheets can be easily tracked through which resource utilization can be planned.
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.
One key difference between Hive and Spark is the way they process data. 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. In contrast, Spark is a real-time processing platform that is designed to handle streaming data and support interactive queries. Another difference is the way they execute queries. Hive uses a SQL-like query language called HiveQL, while Spark supports a wide range of languages and APIs, including SQL, Python, Scala, and R. But we chose Hive due to its simple queries on large datasets and for data warehousing tasks.
I've gotten to know my colleagues better, knowing their roles makes it faster to contact them to complete tasks and that speed makes us optimize and earn better results
The jobs speed made us focus on optimization and customization for the client, and that in a better treatment by the client and better revenue
We can understand which tasks takes more time and to stimate better what we can ask for
As an admin and end-user, Rocketlane has saved me at least four hours of work every week. Multiply that across the entire team, and we're saving two full days of work by removing all the manual tasks.
