Frequently Asked Questions
What is UnifyML
UnifyML SQL is an advanced Data Analytics Platform built for Machine Learning and Artificial Intelligence (AI). It integrates various data science and machine learning algorithms into a seamless SQL interface, enabling users to perform large-scale analytics while utilizing popular open-source algorithms. The platform abstracts the complexities of these algorithms and their execution environments, allowing users to focus on solving key business challenges without worrying about technical details.
Does UnifyML operate across on-premises, cloud, and other platforms?
Yes, it operates smoothly on on-premises and cloud-agnostic environments, including specific platforms like AWS, Azure, and GCP. It supports single or multi-node deployments and integrates seamlessly with containerization tools such as Docker and Kubernetes
What types of machine learning and data science algorithms can it run?
UnifyML is capable of running a wide range of prominent data science and machine learning algorithms from frameworks such as Apache Spark, scikit-learn, Dask, and PyTorch. Additionally, we are continuously working to expand support by adding more algorithms in the future.
What types of industries can the algorithms be leveraged in?
UnifyML leverages advanced algorithms to address real-world challenges across a diverse array of industries. Key sectors it supports include Retail, Healthcare, Financial Services, Insurance, Marketing, Sales, Telecommunications, Manufacturing, and many more.
What types of licenses does it support?
UnifyML supports both Perpetual Licenses and Subscription Licenses
What is zero code platform?
UnifyML enables users to effortlessly execute SQL queries, analyze and visualize data, and implement data science and machine learning algorithms, all without writing any code. In the future, the platform will incorporate AI-driven prompts, making it even easier for users to perform these tasks without needing any technical expertise.
What client tools does UnifyML support?
UnifyML integrates native JDBC drivers, enabling seamless SQL execution through popular tools like DBeaver, Zeppelin, and other JDBC-compatible clients. This allows users to interact with their data, execute queries, and run advanced data science and machine learning algorithms efficiently, all from their preferred environments.
How does UnifyML help save up to 90% in costs while operationalizing data science for your business?
Achieve up to 90% cost savings by operationalizing data science for your business. As a no-code platform, it reduces expenses on human resources, cloud infrastructure, and on-premises operations. Additionally, the platform requires minimal technical skills to operate, further cutting down costs and enhancing efficiency by enabling a broader range of users to contribute without specialized knowledge.
How does UnifyML save up to 90% in costs while operationalizing data science for your business?
Achieve up to 90% cost savings by operationalizing data science for your business. As a no-code platform, it reduces expenses on human resources, cloud infrastructure, and on-premises operations. Additionally, the platform requires minimal technical skills to operate, further cutting down costs and enhancing efficiency by enabling a broader range of users to contribute without specialized knowledge.
What are Industry-ready workflows and solutions
UnifyML provides prebuilt, industry-specific workflows and solutions designed to streamline and simplify complex data science tasks. These workflows are tailored for various industries, allowing businesses to run SQL queries and apply data science algorithms quickly and efficiently. By using these ready-to-go solutions, organizations can avoid the complexity of building custom workflows from scratch, saving time and resources while achieving actionable insights faster.
