Qubole

About Qubole

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.

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Pricing

Free Trial Available
Starts at $0.14. Offers Free-forever plan.
View Detailed Pricing

SW Score Breakdown The SW Score breakdown shows individual score for product features.Read more

Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

84%
Reviews

73%
Momentum

64%
Popularity

79%

Platforms Supported

Not available

Organization Types Supported

Not available

API Support

Modes of Support

Not available

Qubole Features

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Business Intelligence Features

Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

84%

Key Performance Indicators

Evaluating and measuring the performance of the business which will help you make informed decisions and correcting past mistakes

Data Analysis

Helps in analyzing stored raw data and converting them into useful reports

Dashboard

A digital insight of reports and other workings on a single screen

Ad hoc Reports

Creates impromptu reports as and when the occasion requires

Ad hoc Analysis

A statistical model, analytical report or any other type of data summary particularly designed to answer a single, specific business question.

Trend Indicators

Helps you in understanding the present situation and where your business is heading so that you can make decisions accordingly.

Strategic Planning

Defining future strategy or direction based on well-detailed reports and forecasts.

Profitability Analysis

Forecasting the profitability of any particular proposal or optimizing the profitability of an existing project

Benchmarking

Setting up standards and targets for your team and team members, so that they are performing at their best

Ad hoc Query

Helps in answering a query as and when it arises

Qubole Pricing

Free Trial

Available

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Subscription )

Pricing Plans

Free Test Drive Free

Features

Test-featured environment
Limited to 1 user, up to 2 weeks
Includes a sample data set
No cloud infrastructure costs

Qubole Data Platform - Enterprise Edition $0.14 $0.14

Features

Per QCU per hour**
Plus Premium Support
Adaptive Serverless Architecture
Contact us for further details

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Disclaimer: The pricing details were last updated on 03/04/2020 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Learn more about Qubole Pricing.

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Qubole Reviews

User Rating

4.2/5 (Based on 432 Ratings)

Ratings Distribution

Excellent
39.4%
Very Good
46.3%
Average
10.2%
Poor
1.4%
Terrible
2.8%

Do You Use Qubole?

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Review Summary

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.

Pros

Easy to use interface and setup helps in quick and efficient data analysis.
Offers a wide range of features, including data integration, data processing, and machine learning.
Scalable and flexible platform can handle large data volumes and complex workloads.
Provides valuable insights and actionable intelligence from data through advanced analytics.

Cons

Can be expensive for small businesses or startups with limited budgets.
May require additional resources and expertise for optimal utilization and maintenance.
Limited integration options with certain business intelligence tools and applications.
Security concerns and data privacy issues need to be addressed for sensitive data handling.