Qubole is a powerful data platform designed for big data processing.

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4259 reviewsG2$90Free version
Qubole screenshot

Overview

Qubole is a cloud-based data platform that helps businesses manage, analyze, and visualize their big data. It allows users to easily run big data workloads without needing to maintain a complex infrastructure. This flexibility makes Qubole an ideal choice for companies that want to take advantage of big data analytics effortlessly.

With Qubole, users can work with various data tools like Apache Spark, Apache Hive, and Presto. The platform simplifies complex tasks, allowing companies to focus on gaining insights from their data rather than getting bogged down in the technical details. This is particularly useful for teams that want to leverage data but don't have extensive technical backgrounds.

Moreover, Qubole’s scalability features ensure that businesses can grow their data needs without facing limitations. As organizations scale, Qubole makes it easy to add resources and adapt to increasing data volumes. Overall, it’s a comprehensive solution for businesses looking to derive value from their data quickly and efficiently.

Pricing

PlanPriceDescription
Free Trial30 day free trial-
Elastic$90 (/additional user)-
EnterpriseCall Vendor for Pricing-

Key features

User-Friendly Interface

Qubole offers an intuitive interface that makes it easy for users to navigate and execute queries, even if they lack technical knowledge.

Multi-Tool Support

The platform supports various data processing tools including Hadoop, Spark, and Presto, allowing users to choose the best tool for their needs.

Automatic Scaling

Qubole automatically adjusts resources based on workload, helping to manage costs while ensuring smooth performance.

Data Visualization

Built-in visualization tools help users quickly understand their data through charts and graphs, making insights accessible.

Cost Management

Users can monitor and manage costs effectively with detailed usage metrics and alerts, preventing unexpected expenses.

Collaboration Features

Qubole allows teams to work together by sharing insights and dashboards, fostering a collaborative environment.

Security Features

The platform includes robust security measures such as data encryption and user authentication, ensuring data safety.

Scheduling and Automation

Users can automate repetitive tasks and schedule jobs to run at specific times, improving efficiency.

Pros & Cons

Pros

  • Easy to Use
  • Quick Setup
  • Scalable
  • Wide Range of Tools
  • Strong Support

Cons

  • Cost
  • Learning Curve
  • Internet Dependency
  • Limited Offline Access
  • Complex Pricing Model

Feature Ratings

Based on real user reviews, here's how users rate different features of this product.

Model Development

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

Machine/Deep Learning Services

Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Computer Vision

Offers image recognition services

Natural Language Understanding

Offers natural language understanding services

Natural Language Generation

Offers natural language generation services

Deep Learning

Provides deep learning capabilities

Deployment

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Database

Real-Time Data Collection80%

Based on 64 Qubole reviews. Collects, stores, and organizes massive, unstructured data in real time

Based on 64 reviews
Data Distribution84%

As reported in 83 Qubole reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters

Based on 83 reviews
Data Lake83%

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 79 reviewers of Qubole have provided feedback on this feature.

Based on 79 reviews

Integrations

Hadoop Integration86%

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 81 Qubole reviews.

Based on 81 reviews
Spark Integration86%

As reported in 87 Qubole reviews. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 87 reviews

Platform

Machine Scaling83%

As reported in 72 Qubole reviews. Facilitates solution to run on and scale to a large number of machines and systems

Based on 72 reviews
Data Preparation83%

As reported in 82 Qubole reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model

Based on 82 reviews
Spark Integration86%

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 87 Qubole reviews.

Based on 87 reviews

Processing

Cloud Processing85%

Moves big data collection and processing to the cloud 85 reviewers of Qubole have provided feedback on this feature.

Based on 85 reviews
Workload Processing83%

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 82 reviewers of Qubole have provided feedback on this feature.

Based on 82 reviews

Data Transformation

Real-Time Analytics80%

Based on 119 Qubole reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.

Based on 119 reviews
Data Querying88%

Based on 10 Qubole reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.

Based on 10 reviews

Connectivity

Hadoop Integration88%

Based on 107 Qubole reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 107 reviews
Spark Integration86%

Based on 123 Qubole reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark

Based on 123 reviews
Multi-Source Analysis83%

Based on 108 Qubole reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.

Based on 108 reviews
Data Lake85%

Based on 113 Qubole reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 113 reviews

Operations

Data Visualization70%

Based on 104 Qubole reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.

Based on 104 reviews
Data Workflow78%

Based on 116 Qubole reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.

Based on 116 reviews
Governed Discovery72%

Based on 75 Qubole reviews and verified by the G2 Product R&D team. Isolates certain datasets and facilitates management of data access.

Based on 75 reviews
Embedded Analytics78%

Based on 69 Qubole reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.

Based on 69 reviews
Notebooks88%

Based on 11 Qubole reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Based on 11 reviews

System

Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Rating Distribution

5
102 (39.4%)
4
122 (47.1%)
3
25 (9.7%)
2
3 (1.2%)
1
7 (2.7%)

Screenshots

4.0
Based on 259 reviews
Muhammad D.ELPSmall-Business(50 or fewer emp.)
September 17, 2022

Great and easy to implement tool to manage big data

What do you like best about Qubole?

I like all the great and innovative features of this. It is easy to manage big data programmatically. All the features part are easy to use and understandable.

What do you dislike about Qubole?

The user interface needs to improve. When the query is executed, it returns the number of query. The notebook feature is not user-friendly. The interface is straightforward.

What problems is Qubole solving and how is that benefiting you?

It helps us save a lot of costs. Massive data can be extracted easily. all function is necessary for data analysis. Support service is beneficial to me. Maintaining and cleaning big data very quickly.

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Parth C.Data ScientistMid-Market(51-1000 emp.)
April 12, 2022

Qubole is an amazing data lake platform for analytics

What do you like best about Qubole?

Qubole is an excellent self- service platform to host Big Data. The ease of managing data on S3 which can be the end place of data, coupled with Hadoop's HDFS system provide an ideal environment for ETL processes.

What do you dislike about Qubole?

Qubole has fewe...

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Anonymous ReviewerMid-Market(51-1000 emp.)
October 20, 2021

Qubole has degraded in quality very poorly

What do you like best about Qubole?

Not happy with Qubole at all, it has degraded and is not a usable production-ready tool that performs without glitches. Qubole was bought over by some other company, their tools are not stable in a production environment, and don't have customizability.

What do y...

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Anonymous ReviewerEnterprise(> 1000 emp.)
March 14, 2022

Qubole review

What do you like best about Qubole?

It is easy and simple interface. easy to connect AWS

What do you dislike about Qubole?

Error messages are not given properly when we are checking.

What problems is Qubole solving and how is that benefiting you?

Accessing AWS BigData Cluster for BigData Insights

Read full review on G2 →
Ferdinand P.Operations LeadEnterprise(> 1000 emp.)
January 19, 2021

Great tool to manage Big Data.

What do you like best about Qubole?

It is very easy to use and provides many choices with limited effort to retrieve data. For the EBS volume and the number of nodes, automated cluster termination to prevent waste, easy to turn between different languages such as Hive, Spark, Presto etc, I like the ...

Read full review on G2 →

Company Information

LocationSanta Clara, CA
Founded2011
Employees29
Twitter@qubole
LinkedInView Profile

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FAQ

Here are some frequently asked questions about Qubole.

Qubole is a cloud-based platform that helps businesses manage and analyze big data efficiently.

Qubole supports a variety of tools including Hadoop, Spark, and Presto.

Yes, Qubole has a user-friendly interface designed for users of all technical backgrounds.

Yes, Qubole offers automatic scaling, adjusting resources based on your data workload.

Qubole includes data encryption, user authentication, and other security measures to protect your data.

Qubole has built-in visualization tools that allow you to create charts and graphs from your datasets.

Yes, Qubole provides strong customer support to help you with any issues or questions.

Costs can vary based on usage, with a complex pricing model that may require careful monitoring.