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8.3

Spot Score

Qubole - Business Intelligence Software

Qubole Reviews in June 2026: User Ratings, Pros & Cons

Transforming data processing with self-service cloud platform.

4

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Qubole Reviews & Ratings

4

Very Good

Based on 257 ratings & 430 reviews

Rating Distribution

Excellent

(168)

Very Good

(200)

Good

(44)

Poor

(6)

Terible

(12)

Spotsaas Editor’s POV

Qubole is a powerful multi-cloud data platform that simplifies data processing and management. Its self-service capabilities and automated resource optimization make it ideal for data-driven organizations.Read more

Qubole pros and cons

  • Multi-cloud support

  • Self-service platform

  • Automated resource management

  • Strong security features

  • Complex setup process

  • Requires cloud expertise

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Showing 241-250 out of 430

AU

Anonymous User

08/14/19

4 out of 5

"Quick access of dat"

What do you like best about Qubole? It supports many languages such as pyspark, sql What do you dislike about Qubole? Visualization in qubole is little clumsy What problems is Qubole solving and how is that benefiting you? I analyze problems related to ELD and best part of qubole is its versatile support of technology stack.

AU

Anonymous User

08/14/19

4 out of 5

"Excellent managed service for Spark, Hive and Presto"

What do you like best about Qubole? Very good customer support. The support team has worked very closely with us whenever we have had any issue. Their service is great for managed Hive, Spark and Presto. What do you dislike about Qubole? Their UI does have some issues which tends to display cached configs instead of the current configs. Additionally their access control over their clusters can be better. What problems is Qubole solving and how is that benefiting you? Having a managed ...

Read more

AU

Anonymous User

08/14/19

4 out of 5

"Single platform for all Big Data processing problems"

What do you like best about Qubole? Job Pipelining, testing, debugging, resource optimization, rerunning, seamlessly handle resource availability issue and fallback. What do you dislike about Qubole? EMR Job execution logs availability issue. Sometimes one cannot go back to even a few days older job logs for debugging. Tools throw error "Failed to fetch logs". What problems is Qubole solving and how is that benefiting you? Using Qubole for most of our EMR and Spark pipeline execution. ...

Read more

CI

Consultant in Broadcast Media

08/14/19

4 out of 5

"Quobole a boon for SQL operations "

What do you like best? Quobole helps in optimum resource allocation and the billing happens only when we run query What do you dislike? No ETA provided for queries. Although the mappers and reducers help What problems are you solving with the product? What benefits have you realized? Large queries which require tons of time can be run on quobole without thinking about resource

AU

Anonymous User

08/14/19

4 out of 5

"Experience with Qubole"

What do you like best about Qubole? Ability to run multiple type workloads like Hive, Spark, Presto etc, notebook & scheduler support from Qubole What do you dislike about Qubole? Latest UI seems slower compared to previous UI Newer instance types take time to be supported by Qubole, typically with the next release What problems is Qubole solving and how is that benefiting you? Manage cloud workloads with Qubole

UI

User in Information Technology and Services

08/14/19

5 out of 5

"Tester and Manager "

What do you like best? Usability is amazing, so easy to login and use and get to it What do you dislike? Training materials could do more live interactions Recommendations to others considering the product: Use it What problems are you solving with the product? What benefits have you realized? Booking and pay storage

UI

User in Computer Software

08/14/19

4 out of 5

"Single platform for all Big Data processing problems"

What do you like best? Job Pipelining, testing, debugging, resource optimization, rerunning, seamlessly handle resource availability issue and fallback. What do you dislike? EMR Job execution logs availability issue. Sometimes one cannot go back to even a few days older job logs for debugging. Tools throw error "Failed to fetch logs". What problems are you solving with the product? What benefits have you realized? Using Qubole for most of our EMR and Spark pipeline execution. Stable ...

Read more

DM

Dorian M

08/14/19

5 out of 5

"Great for testing PySpark programs"

What do you like best about Qubole? I can test my PySpark programs before in order to avoid errors in production What do you dislike about Qubole? The limits for downloading data. Maybe Qubole allows downloading more than 1.00 rows but I don't know the correct way Recommendations to others considering Qubole: You should consider using Qubole is a great tool and it is very helpful What problems is Qubole solving and how is that benefiting you? Retrieving data from Hive databases

AI

Administrator in Marketing and Advertising

08/14/19

5 out of 5

"Good Cloud Big Data Processing and Machine Learning enabling platform"

What do you like best? The intuitive-ness and usability of the Qubole platform. Its extensive connectivity with wider Big Data and Cloud applications. What do you dislike? There are not many things to dislike, especially when in comparison with Quibble's competitors like Databricks. The Quoble Cloud platform offers extensive scalability towards building your Cloud and Big Data Applications. What problems are you solving with the product? What benefits have you realized? We have built Big ...

Read more

SS

S S

04/23/19

4.5 out of 5

"Qubole"

What do you like best about Qubole? Qubole is the best tool to Query hive table and creating spark jobs in graphical ways What do you dislike about Qubole? Qubole performance is very slow. It needs to improve and Queries are running ages What problems is Qubole solving and how is that benefiting you? Qubole solves most of our data related issues. It helps to create a bash script to automate manual process

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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