Research alternative solutions to Oracle Data Science Cloud Service on G2, with real user reviews on competing tools. Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking simple, top rated software solutions with computer vision, model training, and managed service. Other important factors to consider when researching alternatives to Oracle Data Science Cloud Service include ease of use and reliability. The best overall Oracle Data Science Cloud Service alternative is Amazon SageMaker. Other similar apps like Oracle Data Science Cloud Service are Vertex AI, MATLAB, Posit, and IBM Watson Studio. Oracle Data Science Cloud Service alternatives can be found in Data Science and Machine Learning Platforms but may also be in Analytics Platforms or Statistical Analysis Software.
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.
Making big data simple
Deepnote is a new kind of data science notebook. Real-time collaboration, zero setup, and completely cloud-based.
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.