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86% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
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Description | The enterprise-grade data processing engines used by Qubole, a fully self-service multi-cloud data platform, include Apache Spark, Presto, Hive, Quantum, Airflow, and more. To reduce administrative burden, it automatically configures, manages, and optimises cloud resources while balancing cost, workloads, and performance requirements. It employs a multi-layer strategy to safeguard the availability, confidentiality, and integrity of consumer information. It provides the industry's most cutting-edge big data financial governance. It has a vast list of features such as - Construction of machine learning models, Faster Data Scientific model development, deployment, and iteration can be accelerated by: Trial Monitoring, Front end tool integrations out of the box include RStudio, H2O.ai, and Data robot, Schedulers and Airflow-anchored End-to-End Workflows, Managed Notebooks - Offline (Serverless) Editing. One of its most beneficial features is Automated Infrastructure Provisioning - automatically reduce costs while accommodating an increase in concurrent users without affecting performance. No matter how many users or model versions there are, the management overhead should be almost nil. Automatically scale up or down to accommodate all workloads at any given time. Ecosystem partners like Rstudio, Google Cloud, Amazon SageMaker. Read more | Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes. Read more |
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86% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
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Qubole garners positive feedback for its user-friendly interface, ease of use, and the ability to efficiently handle large datasets. Users appreciate its scalability, flexibility, and support for various data sources and formats. The platform's data processing capabilities and machine learning integration are also praised. However, some reviewers express concerns regarding its pricing and occasional performance issues. Additionally, the need for technical expertise for certain tasks and the complexity of some features are mentioned as areas for improvement. |
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Free Test Drive Free Qubole Data Platform - Enterprise Edition $0.14 $0.14 |
Data Engineering Light $0.07 $0.07 Data Engineering $0.15 $0.15 Data Analytics $0.40 $0.40 per month Standard $0.07 $0.07 Premium $0.10 $0.10 Enterprise $0.13 $0.13 Dedicated Custom |
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Company Details | Founded in: 2011 | Located in: San Francisco, California |
Contact Details |
Not available https://www.qubole.com/ |
1-866-330-0121 https://databricks.com/ |
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