Here’s the difference between Kylo and Qubole. The comparison is based on pricing, deployment, business model, and other important factors.
Kylo is an open source data lake management software platform. It supports self-service data ingest with data cleansing, validation, and automatic profiling. Kylo's ingest workflow moves data from source to Hive tables with advanced configuration options around field-level validation, data protection, data profiling, security, and overall governance. It can wrangle data with visual SQL and an interactive transform through an user interface by using capabilities of Apache Spark to create interactive data transformation. Also, it helps search, explore & monitor data and metadata, view lineage, and profile statistics. Kylo is aimed at sectors such as banking, airline, telecommunications, insurance and more.
Qubole is a provider of a cloud-based data lake platform. The product offered by the company is a unified interface for connecting various data sources and querying them on the chosen technology and infrastructure. The platform uses machine learning to create and manage automated pipelines, and infrastructure optimization. It can also be used for ad-hoc querying, BI workloads, and application workloads. The clients of the company include GANNETT, KFC, Gaia, etc.