As a pure play cloud offering, security is fundamental to Qubole Data Service (QDS). Not only do we leverage the inherent security capabilities of public clouds but we provide additional capacities on top of that. Here’s what sets us apart:
At all places QDS, our systems and infrastructure have been built from the ground up with compliance and regulatory support in mind. QDS deploys baselines in our production environments that are compliant with SOC2, HIPAA, PCI and ISO-2700x. Please ask us about our SOC2 and HIPAA compliance roadmap.
With dual Identity and Access Management (IAM) role configuration you only grant QDS the right to initiate and terminate instances and build clusters using a custom built environment which has all the software for all your data needs already built-in. Our purpose-built solution includes security for Amazon, Azure, Google and Oracle and based on baselines from National Institute of Standards and Technology (NIST) and Center for Internet Security (CIS) Benchmarks.
QDS uses bcrypt for application secrets which is designed to prevent attacks by storing these secrets using an advanced encryption algorithm with randomized salts. We also only use encrypted protocols between the QDS tier and customer accounts. Additionally, we support S3 server side encryption for data at rest and all of our application requests are encrypted using SSL/TLS.
In addition QDS supports encryption natively using customer supplied keys via Amazon Key Management Service (KMS). With this service you can create and manage your own keys for your data and they will be stored in a Hardware Security Module. Using KMS also improves your auditing capabilities because all API calls are logged to CloudTrails which will help you meet your compliance and regulatory requirements.
Virtual Path Connection (VPC) is an isolated private “bubble” inside of Amazon that allows a customer to have a more traditional bordered network boundary with security groups and network access lists (ACLs).
Customers can add any customized security controls and functionality that protects their data. QDS supports customer scripting and bootstrapping of the instances allowing customers to install any security, logging, auditing or monitoring needed to meet their compliance or regulatory frameworks.
Qubole is a significantly more polished product than EMR. Data scientists can explore their data in S3, create tables and query those tables all via an easy-to-use web UI
Qubole’s fantastic support has been key in our successful deployment. They continue to deliver of new features and revisit the ones that we ask for
Our goal at MediaMath was to take our existing industry leading infrastructure to the next level handling new complex analytics tasks. Qubole has helped us enable this goal with minimal risk.
Instead of worrying about provisioning clusters of machines or job flows or whatever, Qubole lets you focus on your data and your queries … The Qubole guys have been extremely helpful!
The service spins up users’ clusters only when a job is started, then automatically scales or contracts them based on the workload, and spins the servers down once the job is done.
Qubole’s Hadoop and Hive interfaces are vastly superior to the default CLIs, which scare business analysts and hinder meaningful analyses of the gaming logs that we collect. With Qubole, business analysts are self-sufficient in using a Big Data platform to meet their advanced analytic needs.
Online Gaming Company
top-performing technologies in the data industry are definitely taking aim at democratizing data tools and bringing the power of data to smaller businesses. This is a major change in the data industry, and Qubole Data Service is a great example
I’m very happy to be using Qubole in production. Qubole has saved me a lot of time, effort, and trouble in getting my data processing pipelines up and running. My data pipelines process Appnexus data in Amazon S3 which is then stored in Vertica. The engineering team understands the complexities and provided awesome support!
Real-time Ads Retargeting Startup
There’s a whole world of web companies, SMBs and other non-Facebooks or Yahoos that will want to use Hadoop but not want to run it in-house…offering a cloud service makes it easier for these users to get started with the platform and for Qubole to keep improving.
Qubole offers a big data ETL and exploration service through auto-scaling Hadoop clusters with a web user interface for data exploration and integration with various data sources. The service can do (nearly) everything EMR can do, and it goes further
Big Data Republic
Simba knows Big Data access. Qubole knows Big Data. Qubole’s founders authored Apache Hive, built key parts of the Hadoop eco-system and brought Apache HBase to Facebook
“The integration of Tableau and Qubole makes it faster and easier for our customers to operationalize Big Data…lowers the resource barriers to deriving the benefits of Big Data because customers can deploy our joint solution seamlessly and cost effectively.”