The Qubole Data Service (QDS) is a Software-as-a-Service analytics platform running on leading cloud offerings like AWS. Targeted towards data analysts, data scientists and ETL engineers - it can help users to get started analyzing data in a matter of minutes.
Qubole Data Service (QDS) provides users with quick, easy, and reliable ways of analyzing data and building complex data pipelines. QDS includes the following broad capabilities
- Qubole Platform
The Qubole platform includes a 'Hive as a service' offering that makes it very simple for end users to run queries and work with data. QDS handles cluster lifecycle management, auto scaling (including support for advanced AWS features such as spot instances), and includes many optimizations that make Hadoop and Hive faster and more reliable on the cloud. In addition to Hive, QDS also supports Pig and Hadoop MR jobs on our platform.
The Qubole platform also includes a Scheduler that makes it easy for users to convert queries into periodic jobs. The scheduler supports complex workflows including data dependencies.
- Qubole Application
- QDS supports access to the platform through REST API's(part of the core platform) and through a browser based UI. The UI supports a number of additional features including query authoring and debugging tools to make it easier for analysts that work with data and collaboration tools for sharing analysis and results. Also users can interactively query and visualize data inside Qubole by submitting queries to Qubole from a BI front-end by using Qubole's ODBC driver.
- Qubole connectors
- To allow users to make best use of their data QDS supports a rich variety of connectors to move data in and out of our platform. Users can export/import data from RDBMS's (such as MySQL/Vertica), NoSQL sources (Mongo) and applications. This gives end users the flexibility to work with the data they need sourced from the platforms they choose.