Last updated on
Company health
Ratings
Valohai description
Valohai is a software platform designed to simplify and automate the process of developing and deploying machine learning models, known as MLOps. It allows data science teams to manage and track experiments, easily reproduce models, and collaborate effectively. Valohai is cloud-agnostic, meaning it works with various cloud providers or a company's own infrastructure. Its key features focus on managing the entire lifecycle of a machine learning project, from experimentation and version control to deployment and monitoring, all within a single platform.
What companies are using Valohai?
Who is Valohai best for
Valohai is an MLOps platform ideal for data science teams seeking to streamline, automate, and enhance collaboration on machine learning projects. Users praise its intuitive interface, flexible infrastructure support, and robust version control. Some minor drawbacks include API key management and occasional bugs. Valohai simplifies the entire ML lifecycle from experimentation to deployment, making it a valuable tool for businesses of all sizes.
-
Ideal for small to large businesses needing streamlined ML workflows.
-
Valohai serves businesses across all industries, enhancing ML project management.
Valohai features
Supported Valohai supports a wide range of machine learning frameworks, allowing users to train models using their preferred tools. |
Supported Valohai automatically versions all aspects of machine learning experiments ensuring reproducibility and facilitating model comparison. |
Supported Valohai is cloud-agnostic and can be deployed on AWS, Azure, GCP, or on-premise infrastructure, offering flexibility in deployment choices. |
Supported Valohai automatically captures and manages metadata related to machine learning experiments, enabling efficient tracking and analysis. |
Supported Valohai provides a streamlined approach to building ML pipelines using YAML, promoting reusability and maintainability. |
Supported Valohai offers a centralized platform that brings together experiment management, model management, and deployment management into a single, unified interface. |
Supported Valohai provides detailed logs and metrics for every experiment run, providing valuable insights into model performance and behavior. |
Valohai reviews
We've summarised 25 Valohai reviews (Valohai G2 reviews) and summarised the main points below.
- Excellent and responsive customer support, consistently praised.
- Easy to use and intuitive UI/UX for managing ML pipelines.
- Flexible and supports various cloud providers and on-premise infrastructure.
- Strong version control and experiment tracking capabilities.
- Facilitates team collaboration and seamless integration with existing workflows.
- API key management is still immature, with only user-specific API keys and no access management.
- Occasional minor bugs encountered, though quickly resolved by support.
- Documentation could be more comprehensive, especially for the API.
- UI could be improved, some prefer a darker mode.
- Limited plotting functionalities within the platform.
Valohai pricing
The commentary is based on 2 reviews from Valohai G2 reviews.
Valohai's pricing is considered high by some users, who suggest a more reasonable yearly cost. However, others highlight cost-saving opportunities through efficient resource utilization and scalable cloud-based infrastructure. They appreciate the comprehensive MLOps platform as a cost-effective alternative to multiple tools.
See the Valohai pricing page.
Valohai alternatives
Azure Machine LearningBuild, train, and deploy machine learning models, code-free or with code.Read more
Valohai FAQ
Valohai is an MLOps platform that simplifies and automates machine learning model development and deployment. It enables efficient experiment tracking, version control, and collaboration for data science teams. Valohai is cloud-agnostic, supporting various providers and on-premise infrastructure for flexible deployment.
What is Valohai and what does Valohai do?
Valohai is an MLOps platform that simplifies and automates machine learning model development and deployment. It enables efficient experiment tracking, version control, and collaboration for data science teams. Valohai is cloud-agnostic, supporting various providers and on-premise infrastructure for flexible deployment.
Valohai integrates with various tools through its hybrid and multi-cloud support. It's compatible with AWS, Azure, GCP, and on-premise infrastructure. This flexible approach allows diverse teams to incorporate Valohai into existing workflows. It also supports a wide range of machine learning frameworks.
How does Valohai integrate with other tools?
Valohai integrates with various tools through its hybrid and multi-cloud support. It's compatible with AWS, Azure, GCP, and on-premise infrastructure. This flexible approach allows diverse teams to incorporate Valohai into existing workflows. It also supports a wide range of machine learning frameworks.
Top alternatives to Valohai include Azure Machine Learning, ClearML, Deeploy, and Simplismart. These platforms offer similar MLOps functionalities such as model training, deployment, and monitoring. Other options, like Snowflake and Google Cloud BigQuery, provide data warehousing capabilities relevant to ML workflows.
What the main competitors of Valohai?
Top alternatives to Valohai include Azure Machine Learning, ClearML, Deeploy, and Simplismart. These platforms offer similar MLOps functionalities such as model training, deployment, and monitoring. Other options, like Snowflake and Google Cloud BigQuery, provide data warehousing capabilities relevant to ML workflows.
Valohai is a legitimate and safe MLOps platform. User reviews praise its ease of use, robust features, and excellent customer support. It effectively manages the machine learning lifecycle, making it a reliable choice for data science teams seeking to streamline their workflows.
Is Valohai legit?
Valohai is a legitimate and safe MLOps platform. User reviews praise its ease of use, robust features, and excellent customer support. It effectively manages the machine learning lifecycle, making it a reliable choice for data science teams seeking to streamline their workflows.
Valohai does not publicly disclose its pricing. Contact their sales team for a customized quote based on your specific machine learning product pricing and needs. Consider whether the product is worth it after evaluating its features against its cost.
How much does Valohai cost?
Valohai does not publicly disclose its pricing. Contact their sales team for a customized quote based on your specific machine learning product pricing and needs. Consider whether the product is worth it after evaluating its features against its cost.
Valohai's customer service receives overwhelmingly positive feedback. Users consistently praise the support team's responsiveness, helpfulness, and expertise in resolving issues quickly and efficiently. They are described as friendly, knowledgeable, and readily available to provide assistance.
Is Valohai customer service good?
Valohai's customer service receives overwhelmingly positive feedback. Users consistently praise the support team's responsiveness, helpfulness, and expertise in resolving issues quickly and efficiently. They are described as friendly, knowledgeable, and readily available to provide assistance.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.