Alexa Yellowbrick Data - The Modern Data Warehouse for Hybrid Cloud
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Yellowbrick Data - The Modern Data Warehouse for Hybrid Cloud

Yellowbrick Data - The Modern Data Warehouse for Hybrid Cloud

Data is the most crucial thing for the internet. With every passing day, the tech companies, as well as other companies, are looking to open data warehouses or rent them for storing their data online. Traditional data warehouses are built on stale, aging architectures that can’t keep up with the times. SQL-on-Hadoop engines never met the promise of enabling ad hoc analytics at scale on top of data lakes. And cloud-only options are either built on VMs that can never reliably deliver the performance at the scale needed by business-critical applications or run on customized hardware that locks you in.

Yellowbrick Data was founded in 2014 by experts in database and flash memory technologies to simplify data warehousing. They wanted to solve the challenges of high availability, running complex mixed workloads, support for ad-hoc SQL, computing correct answers on any schema, massive scalability, and supporting large numbers of concurrent users.

Yellowbrick Data Warehouse fills that gap with a modern, standards-based MPP analytic database that shatters ceilings on price/performance, achieving 100X performance at a fraction of the cost of alternatives. It is the world’s fastest data warehouse for hybrid and multi-cloud environments. Enterprises rely on Yellowbrick to power critical business outcomes and get answers to the hardest business questions for improved profitability, better customer loyalty, and foster innovation in near real-time and at a fraction of the cost of alternatives.

Yellowbrick offers superior price/performance for thousands of concurrent users on petabytes of data, along with the unique ability to run analytic workloads on-premises, in a private cloud, or in any public cloud and manage them in a simple, consistent way, all with predictable pricing via an annual subscription.

Data Warehousing Without Limits

While legacy platforms like Netezza struggle to stay relevant, and cloud-only options like Snowflake suffer from a reliance on VMs running on commodity hardware, Yellowbrick shatters ceilings on price/performance and deployment flexibility across on-premises and cloud environments.
With Yellowbrick, you can get up to 100x performance, as it lets thousands of users run ad hoc queries 10x-100x faster than any legacy or cloud-only data warehouse on PBs of data. Plus, query real-time and at-rest data simultaneously.

It can be deployed anywhere, on-premises, in multiple public clouds, or both, with the same data and performance everywhere (and no data egress charges). You can save millions by paying a fraction of what other options charge you via fixed-cost subscriptions for budget certainty; the more queries you run, the lower the cost per query.

Hybrid cloud architecture

The Hybrid cloud architecture from Yellowbrick Data lets your company stay fast & flexible. Their hybrid/multi-cloud approach makes other options look slow, inflexible, unpredictable, and expensive by enabling lightning-fast, ad hoc analytics on any private or major public cloud, with no hidden cloud fees or lock-in.

Hybrid cloud architecture is an IT approach in which data center/private cloud and public cloud infrastructure are used together, giving you the flexibility to run workloads wherever it makes the most economic sense. (According to the Flexera 2020 State of the Cloud Report, more than 80 percent of organizations either have or want to have a hybrid cloud strategy.) The key benefits of using Yellowbrick’s hybrid cloud architecture are:

  • You can create multi-cloud analytic applications and connect to a reserved, single-tenant Yellowbrick data warehouse from applications in AWS, Azure, and GCP simultaneously with sub-10ms latency
  • You can use the best public cloud for the job. Each public cloud has its strengths; use them for what they do best; e.g., GCP for AI and Azure for BI — with the same data and performance everywhere
  • It makes your cloud journeys less risky. Some workloads need to stay on-premises. Their unified hybrid architecture lets you do that without complicating cloud migrations, as well as move workloads back and forth as needed
  • You can link on-premises and cloud data warehouses. Hybrid architecture lets you run workloads wherever it makes the most economic sense; for example, it lets you build cloud apps that utilize on-premises ETL

Faster, More Affordable Disaster Recovery as a Service

Building business continuity strategies is hard and expensive, especially for big databases. Yellowbrick’s Cloud Disaster Recovery (DR) service relieves both kinds of pain by automatically and asynchronously creating up-to-date copies of Yellowbrick Data Warehouses in the cloud at a more affordable cost than legacy approaches. Cloud DR relies on their hybrid cloud architecture to continuously, asynchronously replicate data (with updates in seconds; tested over WANs at +10Gb/sec) between instances in their service regions or from your on-premises instance to the closest region.

About the Chief

Neil Carson is the Chief Executive Officer and Co-Founder of Yellowbrick Data. Previously, Neil has served as Executive Vice President and Chief Technology Officer at Fusion-io. He was responsible for company strategy, product definitions, roadmaps, corporate development, strategic partnerships, and key customer acquisitions.

Prior to Fusion-io, Neil was Chief Application Architect at Dell, where he led the platform architecture team across MessageOne, Everdream, Silverback Networks, and other acquired development groups. Neil joined Dell through the acquisition of Everdream, where he was Chief Architect. Neil has served as a technical advisor for startups Oxygen Finance and Datera Inc. He has earned a Bachelor’s degree in Computer Software Engineering from Cranfield University.

“We have built the Yellowbrick Data Warehouse, which is quick to deploy, easy to expand, and simple to manage. And in doing so, we also fundamentally changed the economics of enterprise data warehousing to deliver the lowest acquisition and operating costs, and highest performance to our customers.”


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