
Overall tool is good and so intuitive.And the the best part is when you are stuck somewhere there are support team how always above the expectitions. Review collected by and hosted on G2.com.
Qubole should bring up speed in thee DL side and the spark updated more faster to attain customers.They do not have data catalog option where wee can have lineage etc. Review collected by and hosted on G2.com.
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.
Unable to control underlying infrastructure unlike EMR with SSH support. Not easy for getting logs Review collected by and hosted on G2.com.
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.
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.
Seamless Integration. Unparalleled Personalised Support. Review collected by and hosted on G2.com.
The constant need to update services or request support for simpler things - don't get me wrong, the necessities are taken care of - just the smaller things need some finesse. Review collected by and hosted on G2.com.
Love the exquisite technology presented by Qubole, the products really meet the global standards. Review collected by and hosted on G2.com.
There is nothing much to dislike here, but I believe they lack some marketing boost towards promoting their products more openly. Review collected by and hosted on G2.com.
Qubole's proprietary autoscaling is what really provides value - this has saved us significant cloud costs compared to other solutions, such as Amazon EMR. The managed service has also enabled us to run a cloud analytics platform with a much leaner operational support model.
In terms of features, Qubole's scheduler tool and UI have proved very popular among our analysts. This has enabled analysts to easily run and monitor their own processes, without relying on central data teams. Review collected by and hosted on G2.com.
Some Qubole functionality remains relatively immature compared to some competitors. New beta features are regularly released, but don't always make it to a truly production-ready state. Review collected by and hosted on G2.com.
Realtime analytics on the click stream so as to provide best communication to the client and to upscale the product by revamping the UI based on which pages are being viewed the most giving better user experience. Review collected by and hosted on G2.com.
The plethora of options present in quibble requires a significant learning curve Review collected by and hosted on G2.com.
All under one roof. Whether it's spark or hive or presto or bash. Just choose the type of program you want to run and get going. The default cluster gets chosen automatically but you can change it accordingly. Review collected by and hosted on G2.com.
Comparatively it takes time for even simple commands than running in console. Say if you are using scala REPL, it would return milliseconds to return some basic commands but in qubole for each run there is some initialisation which takes time Review collected by and hosted on G2.com.
Qubole is incredibly 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 urge great support with our new projects and existing implementations. it's scaled with our increased needs for processing. the largest advantage is that it's reduced our cloud computing costs Review collected by and hosted on G2.com.
The product has the ability for interactive serverless query service and data science notebooks. it's not as feature-rich and compelling as other competitors. Hence, we are using other services for this purpose. Review collected by and hosted on G2.com.
The ability to use various tech on the same platform like presto, hive, spark and more. Review collected by and hosted on G2.com.
Something peculiar. It matters how the conditions in your where clause are arranged. It impacts the query speed to a large extent in spark queries. Review collected by and hosted on G2.com.
Qubole makes it very easy to manage big data clusters and interact with them programmatically. They offer a wide array of solutions to create an integrated platform in a number of different manners. We have leveraged their integrated Airflow and Spark capabilities (and abused them at times as well) and it has provided us the ability to scale rapidly while our platform was maturing. Review collected by and hosted on G2.com.
There is a fundamental lack of ability to reliably provide spot instances to large clusters and long-running clusters. There are also still a number of growing pains at the company around communication with customers that make the customer experience painful at times. Review collected by and hosted on G2.com.
1. Support team has been amazing
2. The Solution Architect team is really smart and very supportive
3. CS team has a very caring attitude. Review collected by and hosted on G2.com.
1. Few products released in initial stage are really unstable. Eg: QUEST
2. Recent release are few unstable Review collected by and hosted on G2.com.
Self-serve nature that allows engineers to take over control of their workload. Reduces administrative bottleneck. Flexibility of changing cluster setup.Reduces administrative work to spin up and maintain clusters drastically. Easy to use UI and api. Good support provided by Qubole team. Helpful insight that keep improving. This platform is rather stable. Review collected by and hosted on G2.com.
Not capable to monitor clusters, queries etc like we do any other resources in our infa. Reports and insights are good; however those are more for trending purpose. Review collected by and hosted on G2.com.
1. Customer service and representatives. They are very patient, friendly and knowledgeable. They always show up on time for the office hours. The technical questions can be answered on the spot!
2. We can have the questions answered in a timely fashion using the support portal. Also, the support persons are following up on any questions we have using the Slack channel until the issue is solved!
3. The product is stable and continuously improving. The product release is communicated well to us.
4. We can use modern technologies such as Spark, Airflow etc. on Qubole. Review collected by and hosted on G2.com.
1. Cost. It would be great to have discounts on the cost for my organization. We are small org and would like to cut down the cost as much as we can.
2. Also, I would like Qubole to release new features as often as possible. For example, integrating Jupyter: our data scientists are waiting for this. Review collected by and hosted on G2.com.
Qubole provides uninterrupted analysis of data regardless of the number and types of jobs being carried out, it also allows for the scaling of data and users without any additional cost. Review collected by and hosted on G2.com.
Fewer tools are provided for moving data between Hadoop file system Review collected by and hosted on G2.com.
The support team at Qubole is very helpful. They do their best to help figure out the problem you have. However, there are times when we get a "cannot reproduce" reply, which is frustrating.
Qubole does listen to its customers and they release features that customers ask for (a case for me was separating the master node and minimum nodes spot/on-demand composition for AWS).
Qubole is also convenient and easy to use. The setup is very quick, and reconfiguring clusters is very easy. Just a few clicks and you can resize or change your spark version. Review collected by and hosted on G2.com.
When there is a new feature release (Like the workbench or the new beta notebook interface), they remain in beta for a very long time. Furthermore, I have experienced with those two particular interfaces some basic errors, that if someone used the interface extensively, they would have found. It almost feels like there is no alpha release where the internal staff is asked to use those interfaces for their daily work.
About the updates, when R57 was deployed, we had a disastrous week of trying to figure out why things are failing, only to find out that Qubole has updated some of the backend stuff to be not backwards compatible, all this was done WITHOUT A WARNING! Review collected by and hosted on G2.com.
I like the interactive web interface which is very easy to understand and use for quick data analysis and development. The best part is that you can even see your Hadoop clusters and your spark clusters resource allocation for your running Spark Jobs. Review collected by and hosted on G2.com.
i don not like the Tables drawer automatically closes down when i click again on the Notebook. the tables drawer should be opened until it is closed explicitly Review collected by and hosted on G2.com.
The ability to view my peers' code is really helpful. I've needed to check code from people who have left the company. The ability to join across databases is helpful. The scheduler is helpful too. It's a seamless scheduler. I like the ability to use many different channels and cadences in it. Review collected by and hosted on G2.com.
The versioning in qubole something that could be improved. I accidentally save over my work. I also need some training on the new Analyze Beta. I've shared qubole links and didn't realize the code would continue changing, so the files I generated were useless for sharing. It would be helpful to understand when to use history and when to use workspace. I also don't know how to save things in Analyze Beta.
I'd like to see some youtube training on notebooks. One great thing about tableau and excel is the amount of youtube videos. It's not easy to find solutions for qubole. Can you incentivize power users to create forums like tableau?
I know there are limitations with qubole/tableau. that's a big pain point. I always get tableau errors and warnings.
The drag and drop field names could be improved, or maybe I need training. It feels like autocomplete picks up fields from other tables, it would be helpful to have more training on why it's selecting those. Often the drag and drops puts fields in the wrong place (not where my cursor is). Review collected by and hosted on G2.com.
I like the flexibility of resources available for jobs (no out-of-memory errors) and the ability to easily switch between languages within the same notebook. Also, Qubole explore is great for looking at our company's hive metastore. Review collected by and hosted on G2.com.
I think the user interface needs improvement. The webapp is often slow to respond (lags behind user input), but controls are not designed with this in mind. Additionally, cancelling jobs is difficult and the pause button rarely works - i usually have to restart the notebook directly. Review collected by and hosted on G2.com.
1. Easy change between different clusters. 2. Easy access to change tabs between presto, hive, etc.
3. Good UX. 4. Errors are easy to understand and rectify. 5. Historically executed queries are easy to access and re-execute Review collected by and hosted on G2.com.
1. When query is executed it should also return number of rows returned by the query. Because we always need to write another outer query to count number of rows. Review collected by and hosted on G2.com.
1. Qubole saves all the queries you have run in time desc order. It is very easy to browse the history and reuse them. You can even save queries with name so that it is very easy to reuse.
2. All queries that have run have unique links. So it is easy to share with your colleagues. Review collected by and hosted on G2.com.
It is not that easy to do analytical work based on the result of the query. For example, not so many different type of charts are supported in the UI. Our company is considering moving away from Qubole to Mode since it provides more analytical support that will make engineers doing analytics and sharing works more easily. Review collected by and hosted on G2.com.
I like the Spark notebook feature and also the UI for running queries and shell script. It's much more user-friendly than the terminal. The ability to filter and look at your past jobs is also very helpful. Review collected by and hosted on G2.com.
Accessing why spark jobs failed. I need to click through multiple pages (resources -> clusters -> resource manager) then open up apache spark to see the actual logs of why a job failed. Review collected by and hosted on G2.com.