Yellowbrick Data – Building the best, brightest and most driven team in the data warehousing industry

A data warehouse is a central repository of data extracted from disparate sources such as transaction systems, operational databases, and external data stores. As against a database that stores current data to run an application, a data warehouse integrates historical data with real-time feeds to enable business reporting and data analysis. Data warehousing is one of the core processes in business intelligence (BI) reporting. A data warehouse allows enterprises to integrate and manage heterogeneous business data sources from a centralized location. Warehoused data is easily available for on-demand use, review, and analysis, which empowers businesses to make informed decisions.

Yellowbrick Data Warehouse is a modern, elastic data warehouse with separate storage and compute that runs in the cloud. Yellowbrick enables large-scale enterprises to eliminate complexity, reduce risk, and predict and control costs by running all their data anywhere, across multi-cloud and on-premises instances. Yellowbrick allows enterprises to run complex queries on live data at petabyte scale in their own cloud account, while supporting high concurrency with fast, interactive query response to customers' most challenging business questions. Yellowbrick is billed through on-demand and subscription-based pricing based on consumption of vCPUs for compute with no additional charge for storage in the cloud since data resides in your own cloud account. On-demand pricing caters to short-term burst needs and is billed monthly in arrears. Subscription pricing is predictable. On-demand also works across cloud and on-premises and allows efficient acquisition of capacity when you need it.

Yellowbrick Data Warehouse: Logical Enterprise Architecture

In an industry-first, full SQL-driven elasticity with separate storage and compute is available within your own cloud account as well as on-premises. Compute resources – elastic, virtual compute clusters (VCCs) – are created, resized, and dropped on-demand through SQL, and cache data persisted on shared cloud object storage. For example, ad-hoc users can be routed to one cluster, business-critical users to a second cluster, and more clusters created and dropped on demand for ETL processing. Each data warehouse instance runs completely independently of one another. There is no single point of failure or metadata shared across instances. Global outages – when deployed with replication across multiple public clouds and/or on-premises – are impossible.

Yellowbrick is secure by default with no external network access to your database instance. Encryption of data at rest is standard with keys you manage. Columnar encryption, granular role-based access control, column masking, OAuth2, Active Directory, and Kerberos authentication are built in. Integrations with best-in-class enterprise data protection solutions secure PII data. Enterprise-class high availability, backups for data retention, and asynchronous replication for disaster recovery are standard.

Run your data consistently across clouds and on-prem. Yellowbrick Data Warehouse powers your most demanding analytics workloads while delivering freedom, flexibility, and control over your data. Modernize with a massively parallel SQL relational database consumed as a management-free, as-a-service model. Delivering a consistent experience in GCP, Azure, AWS, or on-premises, Yellowbrick Data Warehouse combines the agility and elasticity of cloud with the performance, control, and savings of on-prem solutions. Yellowbrick supports full SQL-driven elasticity with separate storage and compute available within your own cloud account as well as on-premises. Compute resources – elastic, virtual compute clusters (VCCs) – are created, resized, and dropped on-demand through SQL, and cache data persisted on shared cloud object storage.

Factors that make Yellowbrick Data Warehouse Unique;

Drive Performance: Yellowbrick is fast. The storage engine is a hybrid column and row store: Most data is persisted in the column store while the row store supports real-time streaming ingest of hundreds of thousands of records per second from CDC tools and Kafka. Yellowbrick’s patented Direct Data Accelerator Architecture is an OS bypass technology enabling in-memory analytics performance at petabyte-scale without requiring a typical database buffer cache.

Speed Security & Performance: Yellowbrick’s database engine is fully ACID compliant and supports PostgreSQL’s SQL grammar, wire protocols, and metadata schema to avoid vendor lock-in and provide compatibility with a database familiar to developers. Access is through PostgreSQL ODBC, JDBC, and ADO.NET drivers. A substantial number of commercial and open-source tools, including Python, R, Kafka, and Spark interoperate with Yellowbrick.

Ensure Reliability: The Yellowbrick Data Warehouse has no single point of failure. Data is persisted on reliable shared object storage in the cloud and on erasure-coded local storage for on-premises deployments. Full, cumulative, and incremental backups meet off-site data retention requirements. Transactionally consistent, asynchronous replication is built-in and supports failover and failback. Replication of DDL, data, and metadata allows provisioning of read-only hot standby databases for disaster recovery.

Disaster Recovery: Yellowbrick supports fast and simple migration with SHIFT™ Migration Suite from Next Pathway. A workload profiler automatically estimates migration effort and cost ahead of time. Most database objects, ETL, BI, and BTEQ scripts are migrated automatically with testing and validation services offered alongside. They partner with KPMG, Capgemini, Accenture, ZS, Systech, and Cognizant for other ongoing development and migration work.

About | Neil Carson

Neil Carson is a co-founder and the Chief Executive Officer of Yellowbrick Data. Previously, Neil served as Executive Vice President and Chief Technology Officer at Fusion-io where he was responsible for company strategy, product definitions, roadmaps, corporate development and 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 also held roles at BMC/Remedy and Liberate Technologies, including Principal Product Architect and Principal Engineer. Neil has served as a technical advisor for startups Oxygen Finance and Datera Inc.

Neil earned a Bachelor’s degree in Computer Software Engineering from Cranfield University.

"We help organizations bring together and analyze vast quantities data in AWS, Azure, GCP, on-premises and even the edge, in real time while eliminating cloud concentration risk."