Qubole

Transparent Culture: Users have praised Qubole for its transparent culture, with several reviewers mentioning this aspect. They appreciate the open and honest communication within the company, which fosters a sense of trust and transparency between employees and management.

Great Customer Focus: Many users have highlighted Qubole's great customer focus as one of its key strengths. They feel that the platform truly values its customers and goes above and beyond to meet their needs. Reviewers mention that they receive excellent support and prompt responses from the customer service team.

Innovative Platform: The innovative platform offered by Qubole has been highly regarded by users. Multiple reviewers have mentioned how impressed they are with the features and usability of the platform. They find it easy to use, thanks to its user-friendly interface, and appreciate the ability to manage big data programmatically.

Confusing and Not User-Friendly Interface: Many users have expressed frustration with the user interface of Qubole, stating that it is confusing and not user-friendly. They have found tasks like executing queries and using the notebook feature to be difficult and time-consuming.

Cluster Management Issues and Limited ETL Tools: Some users have found cluster management in Qubole to be problematic at times. Additionally, they have mentioned that Qubole has fewer ETL tools compared to its competitors, which can be a drawback for certain data processing tasks.

Unreliable Scheduling System: Users have reported that the scheduling system in Qubole is not reliable, leading them to host their own Airflow instance. This lack of reliability can cause disruptions in their workflow and impact overall productivity.

Users have made the following recommendations about Qubole:

1. Take the time to learn and understand the Qubole platform. Users suggest using the trial period to become familiar with Qubole and its interface. Once users are comfortable with the platform, they find it very easy to use for data analysis and development. It is recommended to engage with Qubole's teams to understand the potential return on investment (ROI) and address any security requirements during implementation. Additionally, users advise doing thorough research to determine if a fully integrated platform is truly needed before considering Qubole.

2. Consult with Qubole support and focus on business goals. Users recommend utilizing Qubole's support team at the beginning of their journey. They suggest having a Virtual Private Cloud (VPC) setup and choosing the appropriate scale for their needs. It is also suggested to allow Qubole to manage the infrastructure while focusing on business objectives. The user highly recommends consulting with Qubole's support team and considers them helpful in navigating the platform.

3. Explore the features and consider specific use cases. Users recommend exploring all the features available in Qubole to leverage them in finding suitable solutions. They find Qubole particularly useful for handling Hive queries and suggest testing specific use cases for notebook use. Furthermore, it is advised to evaluate Qubole for real use cases and consider parallel processing and Spark workflows as prerequisites for adopting Qubole as a solution. Users also suggest utilizing the dashboards provided by Qubole for efficient data analysis.

Overall, users find value in using Qubole as a data lake platform, especially for financial analysis, and appreciate its emerging status that brings together various big data processing technologies under one roof. However, there is room for improvement in areas such as query processing speed, customer support, and documentation.