Qubole offers an open, cost-efficient data lake platform for machine learning, streaming analytics, and large-scale data exploration in the cloud.
Unify data analytics and ML in one cloud platform
Qubole is designed to help you manage and analyze massive amounts of data in a simple, secure, and cost-efficient way. With its open data lake platform, you can bring together all your data engines—whether you’re looking to run machine learning models, handle streaming analytics, or explore data ad-hoc—all in one place.
The platform is built to work natively in the cloud, supporting AWS and GCP, so you can leverage your preferred environment. It’s packed with tools for data engineers, analysts, and scientists, making it easy to automate big data operations, build scalable pipelines, and quickly turn insights into action. Built-in governance and security features help keep your data safe and compliant.
Whether you’re a data professional or a business executive, Qubole aims to increase productivity and lower costs by bringing together best-of-breed processing engines and intelligent resource management. It’s a flexible solution for teams that want to accelerate their analytics and machine learning projects without the hassle of managing complex infrastructure.
Discover websites similar to Qubole.com. Optimized for ultra-fast loading.
Alteryx offers a unified cloud platform for analytics automation, making it easy to prepare, analyze, and visualize AI-ready data—no coding skills needed.
RAPIDS offers open source GPU-accelerated data science libraries, helping you analyze and process data faster with familiar Python APIs.
Apache Spark is an open-source engine for large-scale data analytics, supporting data engineering, science, and machine learning in multiple languages.
Actian offers an AI-powered data intelligence platform to help businesses manage, integrate, and analyze data for better decision-making and control.
OpenText Analytics Database offers fast data analysis, machine learning, and AI-powered insights for businesses, with flexible deployment options.
Hazelcast is a unified real-time data platform that lets you process streaming data instantly, combining stream processing and fast data storage in the cloud.
Find benchmark datasets, data loaders, and evaluators for graph machine learning research, all designed to work with PyTorch models and tools.
Apache Flink lets you process and analyze data streams in real time, offering scalable, stateful computations for data-driven applications.
Join a global data science and machine learning community, access datasets, enter competitions, and use collaborative tools to grow your skills.
Orange Data Mining is an open source platform for machine learning and data visualization, making data analysis easy and interactive for everyone.
Nixtla offers easy-to-use tools for advanced forecasting and anomaly detection, helping teams of any size make accurate predictions using time series data.
Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.
Stan is an open-source platform for Bayesian data analysis and statistical modeling, offering tools, documentation, and a supportive user community.
Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
Track and visualize machine learning experiments, monitor model metrics, and debug training runs with Neptune.ai's experiment tracking platform.
LAION is a nonprofit sharing open machine learning datasets, tools, and models to support research, education, and accessible AI development for everyone.
Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.
Arrikto offers an enterprise MLOps platform to streamline and scale machine learning model deployment on Kubernetes, supporting teams from laptop to production.
DVC is an open-source tool for version control in data science and machine learning, helping you track data, models, and experiments like with Git.
BigML is an easy-to-use machine learning platform for building models, making predictions, and analyzing data without complex setup or coding.
Netron lets you open and visualize neural network, deep learning, and machine learning models right in your browser for easy exploration.
Valohai is a scalable MLOps platform that automates machine learning workflows, enabling CI/CD and pipeline management on any cloud or on-premises.
Weights & Biases helps AI developers track, manage, and optimize machine learning experiments and models from training to production.
Apache Hive is a distributed data warehouse system for scalable analytics, letting you read, write, and manage big data using SQL on various storage systems.
Query and analyze data from Hadoop, NoSQL, and cloud storage using familiar SQL—no schema setup or data loading required.
ELKI is an open-source Java framework for data mining, focusing on clustering and outlier detection with extensible algorithms and benchmarking tools.
Weka offers open source machine learning tools in Java for data mining, analysis, and visualization, making it easy to explore and model data sets.
Discover tools and services similar to qubole.com
Explore related tools and services in these categories