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Qubole

Brand: QUBOLE

  • 4.1

  • 3 Ratings

Qubole is a cloud-native data lake software for scalable analytics, machine learning, and data processing.

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Qubole Software Overview

What is Qubole?

Qubole is a cloud-based data lake platform that helps teams manage, analyze, and process big data. The software pulls data from multiple sources like websites, sensors, etc, and stores it in the cloud.

The data is processed using multiple engines like Spark and Hive, and uses machine learning models to analyze it to find insights from the data. The software supports automation for scaling resources, tasks, and optimizes performance.

Qubole provides an interface with notebooks like Jupyter for writing machine learning code. It supports various popular libraries for machine learning algorithms, and automates scaling of resources while deploying models. The real-time dashboard helps to analyse and visualize the results, version control, and code-free visualizations. It provides APIs for smooth data exploration and pipeline development.

Why Choose Qubole Machine Learning Software?

  • Data Pipeline Automation: It automates data ingestion, processing, transformation, and loading across cloud sources, reducing manual efforts.
  • Machine Learning Development: This Machine Learning Software supports Python, R, and ML libraries to help build and test machine learning models with Spark MLlib, TensorFlow, and Scikit-learn.
  • Train and Test Model: Runs distributed training of the machine learning model on large datasets, and supports auto-scaling, tuning, and performance tracking of models.
  • Analytics and Visualization: Executes fast SQL queries via Presto and Hive and uses BI tools for data analysis and visualization.
  • Deploy and Monitor Model: Qubole Machine Learning Software schedules batch predictions, monitors model performance, and automates retraining workflows.
  • Multi-Engine Flexibility: Users can choose Spark, Hive, or Presto based on task type, ensuring optimal performance for diverse data workloads.

Benefits of Qubole

  • Quick data insights: It speeds up data analysis through automation and helps teams to make smarter decisions in less time.
  • Lowers costs: With its autoscaling and spot pricing, it helps to reduce cloud expenses without compromising performance or reliability.
  • Engine choices: Supports Spark, Hive, and Presto, and thus gives users options to pick the best tool for each task.
  • Efficient Machine Learning: Provides libraries and engines to handle large datasets and training jobs efficiently, making ML development smooth and efficient.
  • Easy Team Collaboration: With the help of Shared notebooks and dashboards it allows data teams to work together across cloud environments.

Pricing of Qubole

Qubole details are available on request at techjockey.com.

Qubole may vary based on factors like customization, additional features required, number of users, and the deployment type. Please request a callback for subscription-related details and to avail offers on premium packages at techjockey.com.

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QUBOLE Company Details

Founded Year:  2011

Qubole is a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics.

Director/Founders Ashish Thusoo, Joydeep Sen Sarma
Company Size 101-500 Employees

Qubole Pricing & Plans

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Qubole Features

  • icon_check Cluster Management
    Automates provisioning, configuration, and monitoring of clusters across supported cloud platforms.
  • icon_check Cost Optimization
    Minimizes spend with features like spot instance management, idle cluster shutdown, and usage insights.
  • icon_check Multi Engine Support
    Provides managed access to open-source engines such as Apache Spark, Hive, Presto, and Airflow.
  • icon_check Data Ingestion
    Supports ingestion pipelines from multiple data sources with built-in ETL orchestration tools.
  • icon_check Metadata Management
    Uses persistent Hive metastore integration to maintain schemas, tables, and metadata consistently.
  • icon_check Notebook Interface
    Offers a web-based workbench and notebooks for running queries, visualizing results, and collaboration.
  • icon_check Security Management
    Includes encryption, IAM integration, file integrity monitoring, and vulnerability scanning controls.
  • icon_check Data Storage Integration
    Natively integrates with cloud object storage services like Amazon S3, Azure Blob, and Google Cloud.
  • icon_check Workflow Orchestration
    Enables scheduling and orchestration of data workflows with Airflow integration.
  • icon_check Third Party Integration
    Connects to third-party BI and analytics tools via JDBC and ODBC drivers for seamless querying.
  • icon_check Collaboration Tools
    Allows teams to share notebooks, queries, and insights directly within the Qubole platform.
  • icon_check Compliance Management
    Implements data governance, auditing, and compliance features for regulatory requirements.
  • icon_check Performance optimization
    Continuously optimizes engine parameters, query execution, and resource allocation automatically.
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Qubole Specifications

Supported Platforms
Ubuntu Ubuntu Windows Windows MacOS MacOS Linux Linux
Devices
Desktop Desktop
Deployment
Cloud-Based Cloud-Based
Suitable For
All Industries
Business Specific
All Businesses
Business Size
Small Business Medium Business Enterprises SMEs MSMEs
Customer Support
Phone Email Live Chat Communities Forums
Language
English
Integration
API Integration
Training Resources
Documentation Videos
AI Features
AI Integrated
Compliance Regulation
GDPR

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Qubole Review

4.1

Out of 5

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Overall Rating

Based on
3 Verified Ratings

Rating Breakdown

  • Features 3.8
  • Value for Money 4.1
  • Ease of Use 4
  • Customer Support 4.6

86% Recommend this Product

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How much does Qubole cost?

Qubole pricing can be obtained from techjockey.com by placing a request to our experts.

Who uses Qubole?

Qubole is used by data engineers, analysts, and ML teams for scalable data processing and cloud-native analytics.

How does Qubole Machine Learning Software work?

Qubole automates data workflows using engines like Spark and Hive, scaling resources dynamically across cloud platforms, and helps to build, test, and deploy machine learning models to help in better decisions

Which operating systems are compatible with Qubole Software?

Qubole runs smoothly on OS like Windows, macOS, and Linux via browser-based access and API integration.

Is a free demo available for Qubole Machine Learning Software?

Yes, Qubole offers a free demo through its website or Techjockey.

What engines does Qubole support for data processing?

Qubole Machine Learning Software supports Apache Spark, Hive, Presto, and Airflow for flexible, high-performance data processing tasks.

Does Qubole support machine learning workflows?

Yes, Qubole provides notebooks, scalable compute, and ML library integration for training and deploying models.

Can Qubole handle real-time data streams?

Yes, Qubole Machine Learning Software supports streaming analytics for real-time data ingestion, processing, and actionable insights.

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Terms and Condtions

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Users with registered businesses can purchase goods from merchants on the platform to satisfy their business needs. Users are not permitted to utilize any products acquired through the platform for resale, advertising, business, or further distribution.

For each purchase made, users will receive a Tax Invoice (or 'GST invoice') that includes specific details such as:

  • the GSTIN of the user associated with their registered business, and

  • the specified Entity Name for their business.

It should be noted that not all products are eligible for GST Invoice. Only the products displayed by participating sellers with the 'GST-based Invoice Available' callout on the product description page would qualify.

Certain goods and services are not eligible to get a GST Invoice, including items with VAS, i.e., Value Added Services (e.g., Total Mobile Protection/Assured Buyback) and those involving an exchange offer at the time of purchase.

Users must ensure the accuracy of the GSTIN, and business entity name provided for the GST Invoice. Requests for corrections into GST Invoice would not be accommodated by Techjockey.com or any Seller, and any issues arising from user-provided information are the sole responsibility of users.

Techjockey.com is not liable for the GST Invoice or any associated input tax credit. To efficiently claim an input tax credit, users should select the registered place of business address as per the GST authority's data and follow the provisions of the GST Act and rules.

To claim an input tax credit, the delivery and billing addresses must match. Furthermore, input tax credits will not be granted if the delivery address and GSTIN on the invoice are from different states. In case of incorrect GST details provided during the order placement, the order will be canceled automatically.