Overview
Product Information on Qubole Data Service (Legacy)
What is Qubole Data Service (Legacy)?
Qubole Data Service (Legacy) Pricing
Overall experience with Qubole Data Service (Legacy)
“Implementation is very easy and it seamlessly scales while reducing cloud costs”
About Company
Company Description
Qubole is a company specializing in delivering a self-service platform for big data analytics. Leveraging resources from well-established cloud platforms like Amazon Web Services, Microsoft, and Google Clouds, the principal aim of Qubole is to simplify analytics for data scientists. Its versatile platform enables swift cluster creation, allowing immediate ad hoc or batch queries. It also features a unique system that autoscales according to the necessary compute levels. Qubole's founders have been previously affiliated with Facebook's Data Service and the development of Apache Hive, endowing the company with strong industry expertise.
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A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Qubole Data Service (Legacy)
Qubole Data Service (Legacy) Likes & Dislikes
Qubole is very easy to use. We were able to implement our Big Data workloads very easily. We got great support from them during implementation. We are continuing to get great support with our new projects and existing implementations. It has scaled with our increased needs for data processing. The biggest advantage is that it has reduced our cloud computing costs
I like the project include different engine like presto, HIVE and Spark. We can also using different languages. Also Qubole team listen to the customer and keep on improving the product. Last but not least, Qubole team educate our team. Especially myself has learned a lot in the past few months.
Good UX, easy ramp up, extensive and well thought of
The product has ability for interactive serverless query service and data science notebooks. It is not as feature rich and compelling as other competitors. Hence, we are using other services for this purpose.
NA
On some versions instability was felt
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Peer Discussions
Qubole Data Service (Legacy) Reviews and Ratings
- Director, Data Science and Engineering50M-1B USDMiscellaneousReview Source
Implementation is very easy and it seamlessly scales while reducing cloud costs
We are very happy with Qubole experience. We are using Qubole infrastructure to managing our Big Data ETL workloads. The ability of Qubole to provide us on-demand ephemeral clusters has helped us to managecosts and seamlessly scale to accommodate new data and users. - Sr Manager50M-1B USDServices (non-Government)Review Source
Good experience of using the tool for Big Data analysis and machine learning work
I enjoy using Qubole and work with Qubole's supporting team. During the past few months, I learned a lot from the Qubole team. Whenever I need help, I can always find help from Qubole team. Also the Qubole team supports our training plan and helped launched the internal training courses. - CTO<50M USDMediaReview Source
Extensive big data orchestration and process management product.
Qubole product is well defined with a good UX and rapid version updates. The QDS gives a good 360 view on our big data processes, schedules & infrastructure. Support is good, still not great (Has to do with the domain of the problem which is vast and complex) In some cases stability was less then optimal but they are working hard and around the clock to attend it. - Director of Product Management1B-10B USDMediaReview Source
Product and Services make a complete, compelling pacakage
Qubole has been a great partner. We've been working on our big data capabilities for close to 2 years. In that time we researched and vetted a few different options, including building a lot of functionalities in house. What we netted out on is that Qubole had the right mix of features to meet our timelines and functional needs. The bonus has been their service and support. From day in and day out user support, to working with us as we develop our end user training courses, the Qubole team has really been there for us every step of the way. - Engineering Manager<50M USDIT ServicesReview Source
Provides Hadoop as a Service nearly flawlessly with great customer support
The team I manage uses Qubole Data Service heavily to streamline our Hadoop processing infrastructure and keep costs low. Prior to Qubole, we spent considerable engineering resources around developing systems similar to Qubole to keep our costs low and our systems stable. The move to Qubole freed up multiple engineers to focus on actual core business problems instead of low level data infrastructure tasks. There have been a few small gotchas experienced working with Qubole, but their support and customer success teams have helped us work through them and nothing was ever a blocker.