Qubole Reviews & Product Details

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

Seller

Qubole

Discussions

Qubole Community

Languages Supported

English

Solution Type

All-in-One

Overview by

Victoria Nava

Pricing

Pricing provided by Qubole.

Basic

$199.00

Per Month

View More Pricing Information

Top-Rated Alternatives

Databricks

4.6/5(1,417)

Google Cloud BigQuery

4.5/5(1,244)

Snowflake

4.6/5(781)

View All Alternatives

User Insights

Average based on 259 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

Typical contract price

$0k - $0k

Per Month

Qubole Reviews FAQs

Generated using AI

Last updated: Nov 04, 2026

What is Qubole, and what problem is it built to solve?

Qubole is a cloud-based data management platform that provides big data as a service. It is designed to simplify setup and management of big data processing technologies so enterprises can scale workloads, manage costs, and support data analytics.

What languages does Qubole support?

Qubole supports 1 language: English.

What company sizes and industries is Qubole the best fit for?

Qubole is best suited to positive-use experiences reported across mid-market and enterprise organizations, with activity also spanning several data-intensive industries.

Company size: Mid-market organizations and enterprises.
Industry: Software and information technology, marketing and advertising, travel and leisure, and financial services.

How long does it take to implement Qubole across a team?

Teams most often report getting Qubole live in under a month, though implementation can take longer depending on the setup and scope. Reported timelines span from less than a day to more than a year.

Time to go live	Relative frequency
Under 1 month	Most common
1–3 months	Also reported
3–6 months	Less common
Less than 1 day	Less common
6–12 months or more than 12 months	Occasionally reported

What customer support options does Qubole provide, and how do users find the overall support experience?

Qubole provides support through chat, phone, and email, alongside self-service resources. The support experience is often described as knowledgeable, helpful, and responsive, particularly for technical or implementation questions; response times and resolution quality can vary, with some issues taking longer to resolve.

What is the experience like for teams switching to Qubole from another tool?

Teams have moved to Qubole to simplify big data operations, improve scalability, and reduce the effort or cost of managing clusters. Comparisons include cloud and on-premises big data platforms, as well as query and analytics tools. Qubole’s managed environment, autoscaling, and access to multiple processing engines have made it easier to launch workloads and extend access to data, though the transition still calls for planning around cloud configuration and team onboarding.

What tools and platforms does Qubole integrate with, and how do these integrations help users get more value from the product?

Qubole is used alongside cloud and data-storage services, workflow orchestration, business intelligence tools, and development or identity tools. These connections let teams bring data into shared workflows, run and schedule processing, and make results available for reporting and analysis.

Cloud and data platforms: AWS, Amazon S3, EC2, Redshift, and Snowflake.
Workflow orchestration: Airflow.
Business intelligence and reporting: Tableau and Looker.
Development and identity: GitHub and Okta.

What features or capabilities could make Qubole even more useful?

Qubole could be more useful with a smoother, more reliable daily experience, particularly for notebook work, query handling, and diagnosing jobs. Recurring improvement areas include:

Make notebooks more stable and easier to use, including stronger editing, saving, versioning, and collaboration workflows.
Improve query and interface responsiveness, especially when loading pages, searching history, or working with large results.
Make errors, logs, and job monitoring clearer so teams can identify and resolve failures with less digging.
Expand in-product visualization and charting so users can explore results without relying as heavily on external tools.

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Muhammad D.

ELP

Small-Business (50 or fewer emp.)

9/17/2022

"Great and easy to implement tool to manage big data"

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Validated ReviewerSource: Organic

Parth C.

Data Scientist

Mid-Market (51-1000 emp.)

Updated 4/12/2022

Originally submitted 4/3/2022

"Qubole is an amazing data lake platform for analytics"

5/5

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. Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Qubole has fewer ETL tools in comparison to its competitors. Also, cluster management seemed to be a problem sometime. A feature that allows team members to share codes amongst them will also benefit analysts working in a team. Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

It is an amazing data lake platform to access Big Data. Review collected by and hosted on G2.com.

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

I worked on Qubole in a Hadoop environment and used Hive for querying on the data. We used S3 to store clients' sales data on the back-end. Considering our database had ~150mn rows of data, I was impressed by the querying speed, even when running multiple queries. Review collected by and hosted on G2.com.

Validated ReviewerSource: Organic

Verified User in Computer Software

Mid-Market (51-1000 emp.)

Updated 10/20/2021

Originally submitted 4/16/2019

"Qubole has degraded in quality very poorly"

0.5/5

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. Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Scheduling system is not reliable. As a company we used to have production jobs scheduled on Qubole scheduler, and most would fail for some reason or the other. This caused us to host our own Airflow instance. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

Verified User in Market Research

Enterprise (> 1000 emp.)

Updated 3/14/2022

Originally submitted 8/19/2019

"Qubole review"

4.5/5

What do you like best about Qubole?

It is easy and simple interface. easy to connect AWS Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Error messages are not given properly when we are checking. Review collected by and hosted on G2.com.

Validated ReviewerIncentivizedSource: Seller invite

Ferdinand P.

Operations Lead

Enterprise (> 1000 emp.)

1/19/2021

"Great tool to manage Big Data."

4.5/5

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 scalability function of Qubole. Clusters can be used well, registry is very fine. Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Perhaps a slightly confusing structuring of alternatives contributes to time usage. Wide scrolling times are needed for the notebook. Like its rival Databricks, the laptop should be easy to use. Logic is not successful bootstrap script. Much like the library Databricks. To begin the cluster, it takes more time. Do you need some other Lambda price substitute for this. Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

Versatile and easy-to-use tool, use the trial time to buy that suits all your needs. Review collected by and hosted on G2.com.

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

I can collect data in a very relaxed way by means of Qubole. It helped us save a great deal of money. The time required for processing was quicker, and resources were decreased due to Qubole. The scheduler is quick to set up jobs and the internal tables are saved, which are very handy when a workflow fails. The use of Qubole makes exchanging resources simpler. Spark Cluster launch. Launch. Works are executed. Using the scientific notebook. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: G2 invite

Mert D.

Senior Project Manager

Mid-Market (51-1000 emp.)

1/13/2021

"Easy to implement and use tool."

4.5/5

What do you like best about Qubole?

I like the very simple to comprehend and use interactive web interface for rapid analysis and creation of results. The best thing is to also view the distribution of services to your operating Spark workers through your Hadoop Cluster and your Spark Cluster. Any choice, whether it involves goods, individuals, systems, or relationships, can be driven by the data activation. To date, we have invested the most in helping organisations close the activation gap. It also offers a standard infrastructure that helps users to operate more easily on the best open source engines with the following ETL, analytics and AI/ML workloads, Review collected by and hosted on G2.com.

What do you dislike about Qubole?

I don't like that if I press on the Notebook again, the Tables drawer closes immediately. When clearly locked, the table drawer must be opened. Qubole focuses solely on activation of results. We allow you to process all sorts of data sets, whether structured, unstructured or semi-structured, to gather useful information and create artificial intelligence-based applications. Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

My recommendation is to take the required time learning the method first and it is very easy to use all of the research and data creation once you're used to the Qubole interface. Qubole focuses solely on activation of results. We can manage all sorts of data sets to gain useful information, whether organized, unstructured or partly structured. Review collected by and hosted on G2.com.

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

I'm solving problems by linking AWS through the Hadoop cluster. The advantage is that I can log in from my desktop and easily type a Hive or Pyspark code sample for fast review and presentation. The SQL notebook data download option is very useful for sample data presentation. The attention of the consumer is fantastic and a must. In addition, please try to get in state-of-the-art technicians. It will first aid us to avoid reinventing wheels. It is also inspiring along with other interesting stuff for engineering. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: G2 invite

Verified User in Retail

Mid-Market (51-1000 emp.)

Updated 10/15/2021

Originally submitted 4/16/2019

"Machine Learning Engineer"

1/5

What do you like best about Qubole?

I can use Qubole's UI to accomplish a lot of different tasks without much effort Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Qubole Notebooks are finicky and brittle. Review collected by and hosted on G2.com.

Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

Verified User in Food & Beverages

Enterprise (> 1000 emp.)

7/27/2020

"One tool which serves all purposes from ETL to Data analysis to data science."

4.5/5

What do you like best about Qubole?

Overall, the tool is good and so intuitive. And the best part is when you are stuck somewhere, there is a support team that always exceeds expectations. Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Qubole should increase speed on the DL side and update Spark faster to retain customers. They do not have a data catalog option where we can have lineage, etc. Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

After the new era of big data and cloud, it is always a hassle to find tools that are cost-effective and user-friendly for daily use, from data extraction to data science and big data needs. This tool has the capability to provide a hassle-free experience with quick help from support and very good technical architects available to help and serve you better. Review collected by and hosted on G2.com.

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

This tool helps us in communicating with the data lake, data warehouse, and also provides us with a platform for data mining. It's easier to have one tool in place rather than having multiple tools. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: Seller invite

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/7/2020

"Quick big data analytics on Spark (PySpark) on Qubole Data Service"

3.5/5

What do you like best about Qubole?

Easy to start QDS instead of waiting for 5 minutes to start similar Spark environment on AWS EMR Review collected by and hosted on G2.com.

What do you dislike about Qubole?

Unable to control underlying infrastructure unlike EMR with SSH support. Not easy for getting logs Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

QDS is easy alternative to AWS EMR. If you're doing ad-hoc Big Data analytics, consider using Qubole. I like the ease with Qubole cluster comes in less than half a minute, than waiting for at least 5 minutes on EMR. Review collected by and hosted on G2.com.

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

Big Data Investigation, Data Analytics, Data Quality on AWS S3 Landed (raw) and Conformed (processed) data. Using Qubole as light-weight alternative to heavy-weight EMR cluster. Review collected by and hosted on G2.com.

Current UserValidated ReviewerIncentivizedSource: G2 Gives Campaign

Verified User in Program Development

Enterprise (> 1000 emp.)

10/7/2020

"Data Lakes simplified"

4.5/5

What do you like best about Qubole?

I like that it is very easy to get started with Qubole. If you want to experiment with data lakes a bit without investing a lot of time or energy into getting your data lake set up, Qubole is great. If you like what you see and then want to productize it, Qubole makes that easier to do as well. Review collected by and hosted on G2.com.

What do you dislike about Qubole?

As with any tool that simplifies entry, it also abstracts out some of the edge cases you may find yourself wanting to use with your data lake. Review collected by and hosted on G2.com.

Recommendations to others considering Qubole:

Great for a quick startup, as with any new software service be ready to invest in some learning time Review collected by and hosted on G2.com.

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

We don't have any production systems using Qubole yet, but we have a few internal projects and opportunities that are using it to accelerate their data lake work. Review collected by and hosted on G2.com.