Databricks |
82% 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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85% 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 
Get Free Advice
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| Description | Sensai Metrics is a virtual data science assistant for small as well as large-scale e-commerce. This virtual assistant is a go-to for companies that are overly focused on fulfilling targets. Data in Sensai Metrics is brought to one place and analysed with machine learning algorithms so that it becomes convenient for clients to monitor the relations between platforms, procure valuable insights and start saving on finances for future-oriented implementations in their organisation. Sensei Metrics optimises budget allocation with a rough model that is curated taking into account the customer journeys along with campaign performances and conversions alike. It further provides clients with expected revenue and the probable conditions required to achieve the same. Customers and their journeys form an important part of a company’s growth and especially so if it is e-commerce in concern. Sensei Metrics helps clients in enhancing customer retention by enabling smart long-term-oriented decisions. It further makes it easier for clients to understand the gaps in their businesses and thereafter get rid of the uncertainties. Read more | 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 |
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| SW Score & Breakdown |
82% 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
|
85% 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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| Total Features |
9 Features
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5 Features
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| Common Features for All |
Ad hoc Analysis
Ad hoc Reports
Benchmarking
Dashboard
Data Analysis
Key Performance Indicators
Profitability Analysis
Strategic Planning
Trend Indicators
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Ad hoc Analysis
Ad hoc Reports
Benchmarking
Dashboard
Data Analysis
Key Performance Indicators
Profitability Analysis
Strategic Planning
Trend Indicators
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| User Rating |
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| Rating Distribution |
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| User Sentiments |
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Easy to Use Interface, Extensive Big Data Tool Integration, Fast Data Processing, Excellent Customer Support Unstable Notebook Functionality, Occasional Slow Performance, Lack of Advanced Visualization Tools, Occasional Software Bugs |
| Review Summary |
Not Available
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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. |
| Read All User Reviews |
AI-Generated from the text of User Reviews
| Pricing Options |
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Pricing Plans
Monthly Plans
Annual Plans
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Free Free Startup $65.80 $79.00 per month Pro $149.00 $179.00 per month |
Free Test Drive Free Qubole Data Platform - Enterprise Edition $0.14 $0.14 |
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View Detailed Pricing
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View Detailed Pricing
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| Screenshots |
+ 4 More
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+ 3 More
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| Company Details | Founded in: 2018 | Founded in: 2011 |
| Contact Details |
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