Qubole Data Service on Amazon Web Services

Qubole has built the first cloud-native data platform for analytics, artificial intelligence (AI), and machine learning (ML) that is revolutionizing the way companies put their data to work on AWS.

Natively designed for Amazon Web Services (AWS) and tightly integrated with its storage, compute, security and other key architectural elements, QDS on AWS enables rapid deployment and on-demand scalability at significantly lower cost than other solutions for implementing big-data projects in the cloud.

Meet with Qubole at AWS:re:Invent

Looking for concrete ways to make your big data initiatives a success? Meet with Qubole at AWS re:Invent at The ARIA Tower Las Vegas (booth #1703).

The Qubole Application Tier orchestrates resources on the customer’s AWS account using customer-provided and revocable IAM roles. Meta-data describing the data on S3 is stored in the Hive Metastore in the Qubole tier or, if required, on the customer’s account. Workload requests are submitted by users via a web-based Workbench or via Spark Notebooks, by external applications via REST APIs, and by third party Business Intelligence products via ODBC/JDBC drivers. Query results are cached locally by Qubole for future re-use to minimize use of compute resources.

CASE STUDY
Ibotta Automates Analytics Workloads with Qubole on AWS
WEBINAR
TiVo scales new media products with Qubole and data lakes on AWS
VIDEO
Qubole Architecture on AWS
WHITE PAPER
Qubole on AWS: Security and Compliance White Paper
WEBINAR
An Intro to AWS Spot Instances – Learn How to Maximize Your Cost Savings