# RocketML Reviews
**Vendor:** RocketML  
**Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)  
**Average Rating:** 4.0/5.0  
**Total Reviews:** 4
## About RocketML
RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analytics team, RocketML will cut your cycle time and costs of people and hardware.



## RocketML Pros & Cons
**What users like:**

- Users value the **fast processing** of RocketML, which significantly reduces time and costs for machine learning tasks. (2 reviews)
- Users find the **automation capabilities** of RocketML advantageous for efficient and cost-effective healthcare LLM development. (1 reviews)
- Users value the **significant cost and time reduction** for machine learning tasks offered by RocketML&#39;s cloud computing system. (1 reviews)
- Users appreciate the **responsive customer support** of RocketML, ensuring a smooth experience throughout their project duration. (1 reviews)
- Users appreciate the **development speed** of RocketML, significantly reducing time and costs for machine learning tasks. (1 reviews)
- Users praise RocketML for its **user-friendly interface** , ensuring seamless operation for all levels of machine learning practitioners. (1 reviews)
- Easy Setup (1 reviews)
- Users highlight the **exceptional efficiency** of RocketML, streamlining complex computations and significantly reducing time and costs. (1 reviews)
- Users value the **flexibility** of RocketML, enabling seamless integration and adaptability across various machine learning frameworks. (1 reviews)
- Free Services (1 reviews)

**What users dislike:**

- Users find the **complex coding requirements** on RocketML challenging, especially during the integration of pipelines. (1 reviews)
- Users find the **complexity of integration** in RocketML challenging, especially before reaching final production stages. (1 reviews)
- Users believe the **cost** of RocketML should be more competitive to improve overall value. (1 reviews)
- Users find the **implementation difficulty** of RocketML challenging due to complex pipeline integration before production. (1 reviews)

## RocketML Reviews
  ### 1. RocketML: An evolved platform for your AI needs

**Rating:** 3.0/5.0 stars

**Reviewed by:** insha b. | Proposal Specialist, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 18, 2024

**What do you like best about RocketML?**

Computing system significantly reduces time and cost (over 50%) for machine learning tasks by utilizing advanced optimization methods, distributed algorithms, and pre-built models, allowing data scientists to accelerate application development with multi-cloud support.

**What do you dislike about RocketML?**

Building a machine learning application on RocketML might still require complex integration of pipelines, which can be challenging before final production.

**What problems is RocketML solving and how is that benefiting you?**

As a scientific paper writer, 1.Developing machine learning models from scratch can be highly time-intensive.2. Running advanced computations for large datasets often requires significant resources. RocketML's high-performance computing reduces these costs and execution times.By leveraging pre-built models and high-performance algorithms, you can quickly analyze data, generate results, and support scientific findings for your papers.: The tool reduces the financial burden of computational resources, making it more feasible to work with large-scale datasets.

  ### 2. Cost effective Large Language Model training through distributed deep learning

**Rating:** 5.0/5.0 stars

**Reviewed by:** Deborishi G. | Business Analyst/Associate Project Manager, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 25, 2025

**What do you like best about RocketML?**

When creating an LLM specific to the healthcare domain, we used HPC for accelerated deep learning because we found it both cheaper and easier. It worked well with our open source model and integrated well with the frameworks that we were using. The documentation and support was to our satisfaction. We used the services over a year.

**What do you dislike about RocketML?**

The cost was the only differentiator that we felt could have been more competitive.

**What problems is RocketML solving and how is that benefiting you?**

We wanted to train a customised version of an LLM for the healthcare industry with large datasets of health/drug related knowledge.

  ### 3. RocketML is great ML Platform to handle ML Requirements!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Deborishi  G. | Business Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 20, 2024

**What do you like best about RocketML?**

I found that RocketML excels in speed, scalability, and ease of use, making it ideal for handling large datasets and complex computations rapidly. We had no issues as it seamlessly integrated with existing data pipelines and supported multiple machine learning frameworks. I loved the automated features, robust security, and cost-effective models enhance productivity and decision-making. 

My last word - with a user-friendly interface and strong community support, RocketML offered a comprehensive, flexible, and efficient platform for machine learning practitioners who may not be pros (for the non-advanced features).

**What do you dislike about RocketML?**

Personally, I found RocketML's downsides to include high costs, especially for extensive use, and a steep learning curve for advanced features such as configuring the 3rd party clusters. It required significant computational resources, which was expensive and underutilized (we found the billing quite lacking in flexibility). Integration challenges may arise with less common tools, and the automated features might limit customization for some users. Overall, these factors contributed to advise my management to move away from RocketML.

**What problems is RocketML solving and how is that benefiting you?**

I led a team of ML practioners, using RocketML as an Admin (to control the costs). We primarily used it for NLP problems pertaining to DDI, DDx and Medical Prescription reading.

  ### 4. An AI that grows with your company

**Rating:** 4.0/5.0 stars

**Reviewed by:** Miguel V. | Infraestructure manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2024

**What do you like best about RocketML?**

This AI works together with your company, helping to simplify and make more efficient tasks such as labeling, as well as data analysis that will help you make better decisions.

**What do you dislike about RocketML?**

It requires time for this AI to learn about your company, so you must have prior knowledge about how to group the information.

**What problems is RocketML solving and how is that benefiting you?**

Reduce the cost of how data is labeled, which will help you create autonomous applications that help you predict possible problems



- [View RocketML pricing details and edition comparison](https://www.g2.com/products/rocketml/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-15+04%3A53%3A13+-0500&secure%5Bsession_id%5D=c6dcadb5-d91c-4a13-9c77-16aa07f2743d&secure%5Btoken%5D=a69761dc4a1ffc81a2b5818df2bbc9c08ed0a15b0ceb449c9400e975c4ce2783&format=llm_user)

## RocketML Features
**System**
- Data Ingestion & Wrangling

**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training

**Model Development**
- Feature Engineering

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Deployment**
- Managed Service
- Application
- Scalability

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

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