Qubole Reviews & Pricing

Key Features

• Ad Hoc Analytics: Create and deliver ad hoc SQL analytics via optimized engines such as Presto, Hive or Spark SQL. Alternatively, use third party integrations for Git, Looker or Tableau to visualize the data. 
• Streaming Analytics: Develop streaming data pipelines in minutes without writing any code. Connect and combine multiple streaming and batch data sets to gain real-time insights. Use the built-in test framework to test run and debug new data pipelines. 
• Machine Learning: Develop and iterate machine learning models with offline editing, a multi-language interpreter and version control to deliver faster results. Anchor workflows with schedulers and Airflow. Helps teams collaborate in a common workspace with their preferred interface. 
• Data Management: Manages data using a single metastore to improve performance and response time for queries, resulting in faster data discovery and profiling. Provides built-in transactionality support to avoid dirty readings, lost updates and enforce app-centric integrity. 
• Data Engineering: Automates the creation, scaling and monitoring of pipelines. Easily create, manage and schedule workloads for data engineering. Process datasets to consistent pipelines using its processing engine and language of choice. 
• Platform Runtime Services: The deployment of cloud infrastructure is automated and optimized with workload-aware scaling, cluster lifecycle management, intelligent spot management and heterogeneous cluster management. 
• Data Visualization: Visualize data insights with out-of-the-box dashboards for a range of metrics. Monitor real-time data insights and take action. Qviz enables quick, hassle-free data visualization. 
• Inbuilt Notebook: Use the original Qubole notebook based on Apache Zeppelin, or use out-of-the-box Jupyter integration to run queries against data sets leveraging a mix of interfaces, such as SQL embedded in Python. 
• Development Tools: Create applications easily with tools such as code auto-complete, code compare, version control, hands-free dependency management and Qviz. 
• Workbench: A one-stop self-service data discovery tool to easily discover, query, analyze and debug data sets in the data lake. 

Limitations

•  Inability to control underlying infrastructure. 
•  Has a significant learning curve. 
•  May be expensive for smaller businesses. 
•  Difficult to find libraries for 3rd party integrations. 

Suite Support